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arxiv--26--10157
|
./tables/csvs/arxiv--26--10157.csv
|
./tables/images/arxiv--26--10157.jpg
|
,0,1,2,3,4,5,6,7,8,9,10,11,12
0,Models/Data,Tourism-L,__,__,__,__,__,__,__,Labour,__,__,__
1,Hierarchy Levels,1,2,3,4,5,2(Geo),3(Geo),4(Geo),1,2,3,4
2,HIERE2E,0.15,0.18,0.17,0.21,0.24,0.19,0.18,0.22,0.21,0.23,0.22,0.27
3,SHARQ,0.09,0.08,0.12,0.11,0.14,0.11,0.12,0.16,0.16,0.16,0.15,0.21
4,PEMBU-MINT,0.14,0.21,0.22,0.21,0.26,0.18,0.23,0.25,0.21,0.22,0.24,0.21
5,PROFHIT,0.05,0.06,0.04,0.06,0.11,0.06,0.06,0.1,0.17,0.11,0.15,0.16
6,P-FINETUNE,0.09,0.12,0.13,0.17,0.13,0.11,0.13,0.15,0.24,0.21,0.24,0.22
7,P-NOPARAMSHARE,0.06,0.04,0.03,0.08,0.05,0.05,0.03,0.04,0.14,0.18,0.19,0.15
8,P-DEEPAR,0.11,0.09,0.09,0.14,0.13,0.15,0.14,0.13,0.14,0.19,0.17,0.14
9,P-NOCONSISTENCY,0.18,0.19,0.17,0.19,0.22,0.18,0.19,0.24,0.24,0.22,0.25,0.31
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": true, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
arxiv--26--10157--M0
|
Report result of level 2 of Labour for SHARQ data
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": true, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "1", "Row Filter Retained Rows Single": true, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "1", "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": "2", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": "", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
{0.16}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10,11,12\n0,Models/Data,Tourism-L,__,__,__,__,__,__,__,Labour,__,__,__\n1,Hierarchy Levels,1,2,3,4,5,2(Geo),3(Geo),4(Geo),1,2,3,4\n2,HIERE2E,0.15,0.18,0.17,0.21,0.24,0.19,0.18,0.22,0.21,0.23,0.22,0.27\n3,SHARQ,0.09,0.08,0.12,0.11,0.14,0.11,0.12,0.16,0.16,0.16,0.15,0.21\n4,PEMBU-MINT,0.14,0.21,0.22,0.21,0.26,0.18,0.23,0.25,0.21,0.22,0.24,0.21\n5,PROFHIT,0.05,0.06,0.04,0.06,0.11,0.06,0.06,0.1,0.17,0.11,0.15,0.16\n6,P-FINETUNE,0.09,0.12,0.13,0.17,0.13,0.11,0.13,0.15,0.24,0.21,0.24,0.22\n7,P-NOPARAMSHARE,0.06,0.04,0.03,0.08,0.05,0.05,0.03,0.04,0.14,0.18,0.19,0.15\n8,P-DEEPAR,0.11,0.09,0.09,0.14,0.13,0.15,0.14,0.13,0.14,0.19,0.17,0.14\n9,P-NOCONSISTENCY,0.18,0.19,0.17,0.19,0.22,0.18,0.19,0.24,0.24,0.22,0.25,0.31\n` \\n\\nQuestion: `Report result of level 2 of Labour for SHARQ data`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10,11,12\n0,Models/Data,Tourism-L,__,__,__,__,__,__,__,Labour,__,__,__\n1,Hierarchy Levels,1,2,3,4,5,2(Geo),3(Geo),4(Geo),1,2,3,4\n2,HIERE2E,0.15,0.18,0.17,0.21,0.24,0.19,0.18,0.22,0.21,0.23,0.22,0.27\n3,SHARQ,0.09,0.08,0.12,0.11,0.14,0.11,0.12,0.16,0.16,0.16,0.15,0.21\n4,PEMBU-MINT,0.14,0.21,0.22,0.21,0.26,0.18,0.23,0.25,0.21,0.22,0.24,0.21\n5,PROFHIT,0.05,0.06,0.04,0.06,0.11,0.06,0.06,0.1,0.17,0.11,0.15,0.16\n6,P-FINETUNE,0.09,0.12,0.13,0.17,0.13,0.11,0.13,0.15,0.24,0.21,0.24,0.22\n7,P-NOPARAMSHARE,0.06,0.04,0.03,0.08,0.05,0.05,0.03,0.04,0.14,0.18,0.19,0.15\n8,P-DEEPAR,0.11,0.09,0.09,0.14,0.13,0.15,0.14,0.13,0.14,0.19,0.17,0.14\n9,P-NOCONSISTENCY,0.18,0.19,0.17,0.19,0.22,0.18,0.19,0.24,0.24,0.22,0.25,0.31\n` \\n\\nQuestion: `Report result of level 2 of Labour for SHARQ data`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
arxiv--26--10157
|
./tables/csvs/arxiv--26--10157.csv
|
./tables/images/arxiv--26--10157.jpg
|
,0,1,2,3,4,5,6,7,8,9,10,11,12
0,Models/Data,Tourism-L,__,__,__,__,__,__,__,Labour,__,__,__
1,Hierarchy Levels,1,2,3,4,5,2(Geo),3(Geo),4(Geo),1,2,3,4
2,HIERE2E,0.15,0.18,0.17,0.21,0.24,0.19,0.18,0.22,0.21,0.23,0.22,0.27
3,SHARQ,0.09,0.08,0.12,0.11,0.14,0.11,0.12,0.16,0.16,0.16,0.15,0.21
4,PEMBU-MINT,0.14,0.21,0.22,0.21,0.26,0.18,0.23,0.25,0.21,0.22,0.24,0.21
5,PROFHIT,0.05,0.06,0.04,0.06,0.11,0.06,0.06,0.1,0.17,0.11,0.15,0.16
6,P-FINETUNE,0.09,0.12,0.13,0.17,0.13,0.11,0.13,0.15,0.24,0.21,0.24,0.22
7,P-NOPARAMSHARE,0.06,0.04,0.03,0.08,0.05,0.05,0.03,0.04,0.14,0.18,0.19,0.15
8,P-DEEPAR,0.11,0.09,0.09,0.14,0.13,0.15,0.14,0.13,0.14,0.19,0.17,0.14
9,P-NOCONSISTENCY,0.18,0.19,0.17,0.19,0.22,0.18,0.19,0.24,0.24,0.22,0.25,0.31
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": true, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
arxiv--26--10157--A0
|
What are the top 3 models based on their average CS scores for Hierarchy Level 4 in the Tourism-L data?
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": false, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": false, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": 2, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": true, "Rank Rank On Plain": true, "Rank Rank On Expression": false, "Rank Report Top": 3}
|
{HierE2E | 0.21} || {PEMBU-MinT | 0.21} || {P-NoCONSISTENCY | 0.19}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10,11,12\n0,Models/Data,Tourism-L,__,__,__,__,__,__,__,Labour,__,__,__\n1,Hierarchy Levels,1,2,3,4,5,2(Geo),3(Geo),4(Geo),1,2,3,4\n2,HIERE2E,0.15,0.18,0.17,0.21,0.24,0.19,0.18,0.22,0.21,0.23,0.22,0.27\n3,SHARQ,0.09,0.08,0.12,0.11,0.14,0.11,0.12,0.16,0.16,0.16,0.15,0.21\n4,PEMBU-MINT,0.14,0.21,0.22,0.21,0.26,0.18,0.23,0.25,0.21,0.22,0.24,0.21\n5,PROFHIT,0.05,0.06,0.04,0.06,0.11,0.06,0.06,0.1,0.17,0.11,0.15,0.16\n6,P-FINETUNE,0.09,0.12,0.13,0.17,0.13,0.11,0.13,0.15,0.24,0.21,0.24,0.22\n7,P-NOPARAMSHARE,0.06,0.04,0.03,0.08,0.05,0.05,0.03,0.04,0.14,0.18,0.19,0.15\n8,P-DEEPAR,0.11,0.09,0.09,0.14,0.13,0.15,0.14,0.13,0.14,0.19,0.17,0.14\n9,P-NOCONSISTENCY,0.18,0.19,0.17,0.19,0.22,0.18,0.19,0.24,0.24,0.22,0.25,0.31\n` \\n\\nQuestion: `What are the top 3 models based on their average CS scores for Hierarchy Level 4 in the Tourism-L data?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10,11,12\n0,Models/Data,Tourism-L,__,__,__,__,__,__,__,Labour,__,__,__\n1,Hierarchy Levels,1,2,3,4,5,2(Geo),3(Geo),4(Geo),1,2,3,4\n2,HIERE2E,0.15,0.18,0.17,0.21,0.24,0.19,0.18,0.22,0.21,0.23,0.22,0.27\n3,SHARQ,0.09,0.08,0.12,0.11,0.14,0.11,0.12,0.16,0.16,0.16,0.15,0.21\n4,PEMBU-MINT,0.14,0.21,0.22,0.21,0.26,0.18,0.23,0.25,0.21,0.22,0.24,0.21\n5,PROFHIT,0.05,0.06,0.04,0.06,0.11,0.06,0.06,0.1,0.17,0.11,0.15,0.16\n6,P-FINETUNE,0.09,0.12,0.13,0.17,0.13,0.11,0.13,0.15,0.24,0.21,0.24,0.22\n7,P-NOPARAMSHARE,0.06,0.04,0.03,0.08,0.05,0.05,0.03,0.04,0.14,0.18,0.19,0.15\n8,P-DEEPAR,0.11,0.09,0.09,0.14,0.13,0.15,0.14,0.13,0.14,0.19,0.17,0.14\n9,P-NOCONSISTENCY,0.18,0.19,0.17,0.19,0.22,0.18,0.19,0.24,0.24,0.22,0.25,0.31\n` \\n\\nQuestion: `What are the top 3 models based on their average CS scores for Hierarchy Level 4 in the Tourism-L data?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
psa--4--264
|
./tables/csvs/psa--4--264.csv
|
./tables/images/psa--4--264.jpg
|
,0,1,2,3,4,5,6,7
0,Occupation Year & Nationality,__,Lawyers under training,__,__,* Lawyers working*,__,__
1,__,__,Total,Females,Males,Total,Females,Males
2,2017,Qataris,7,4,3,140,26,114
3,__,Other G.C.C,0,0,0,0,0,0
4,__,Other Arabs,0,0,0,81,1,80
5,__,Foreign,0,0,0,0,0,0
6,__,Total,7,4,3,221,27,194
7,2018,Qataris,9,5,4,151,17,134
8,__,Other G.C.C,2,1,1,5,3,2
9,__,Other Arabs,0,0,0,96,1,95
10,__,Foreign,0,0,0,0,0,0
11,__,Total,11,6,5,252,21,231
12,2019,Qataris,16,8,8,165,27,138
13,__,Other G.C.C,6,2,4,4,3,1
14,__,Other Arabs,0,0,0,120,1,119
15,__,Foreign,0,0,0,0,0,0
16,__,Total,22,10,12,289,31,258
17,2020,Qataris,17,10,7,174,30,144
18,__,Other G.C.C,7,4,3,4,3,1
19,__,Other Arabs,0,0,0,159,3,156
20,__,Foreign,0,0,0,0,0,0
21,__,Total,24,14,10,337,36,301
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": false, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": false, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false, "Row Nesting": true}
|
psa--4--264--A2
|
Which 3 years had the highest total number of Lawyers working, and what were those totals?
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": false, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": false, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": 2, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": true, "Rank Rank On Plain": true, "Rank Rank On Expression": false, "Rank Report Top": 3}
|
{2020 | 337} || {2019 | 289} || {2018 | 252}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7\n0,Occupation Year & Nationality,__,Lawyers under training,__,__,* Lawyers working*,__,__\n1,__,__,Total,Females,Males,Total,Females,Males\n2,2017,Qataris,7,4,3,140,26,114\n3,__,Other G.C.C,0,0,0,0,0,0\n4,__,Other Arabs,0,0,0,81,1,80\n5,__,Foreign,0,0,0,0,0,0\n6,__,Total,7,4,3,221,27,194\n7,2018,Qataris,9,5,4,151,17,134\n8,__,Other G.C.C,2,1,1,5,3,2\n9,__,Other Arabs,0,0,0,96,1,95\n10,__,Foreign,0,0,0,0,0,0\n11,__,Total,11,6,5,252,21,231\n12,2019,Qataris,16,8,8,165,27,138\n13,__,Other G.C.C,6,2,4,4,3,1\n14,__,Other Arabs,0,0,0,120,1,119\n15,__,Foreign,0,0,0,0,0,0\n16,__,Total,22,10,12,289,31,258\n17,2020,Qataris,17,10,7,174,30,144\n18,__,Other G.C.C,7,4,3,4,3,1\n19,__,Other Arabs,0,0,0,159,3,156\n20,__,Foreign,0,0,0,0,0,0\n21,__,Total,24,14,10,337,36,301\n` \\n\\nQuestion: `Which 3 years had the highest total number of Lawyers working, and what were those totals?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7\n0,Occupation Year & Nationality,__,Lawyers under training,__,__,* Lawyers working*,__,__\n1,__,__,Total,Females,Males,Total,Females,Males\n2,2017,Qataris,7,4,3,140,26,114\n3,__,Other G.C.C,0,0,0,0,0,0\n4,__,Other Arabs,0,0,0,81,1,80\n5,__,Foreign,0,0,0,0,0,0\n6,__,Total,7,4,3,221,27,194\n7,2018,Qataris,9,5,4,151,17,134\n8,__,Other G.C.C,2,1,1,5,3,2\n9,__,Other Arabs,0,0,0,96,1,95\n10,__,Foreign,0,0,0,0,0,0\n11,__,Total,11,6,5,252,21,231\n12,2019,Qataris,16,8,8,165,27,138\n13,__,Other G.C.C,6,2,4,4,3,1\n14,__,Other Arabs,0,0,0,120,1,119\n15,__,Foreign,0,0,0,0,0,0\n16,__,Total,22,10,12,289,31,258\n17,2020,Qataris,17,10,7,174,30,144\n18,__,Other G.C.C,7,4,3,4,3,1\n19,__,Other Arabs,0,0,0,159,3,156\n20,__,Foreign,0,0,0,0,0,0\n21,__,Total,24,14,10,337,36,301\n` \\n\\nQuestion: `Which 3 years had the highest total number of Lawyers working, and what were those totals?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
psa--4--264
|
./tables/csvs/psa--4--264.csv
|
./tables/images/psa--4--264.jpg
|
,0,1,2,3,4,5,6,7
0,Occupation Year & Nationality,__,Lawyers under training,__,__,* Lawyers working*,__,__
1,__,__,Total,Females,Males,Total,Females,Males
2,2017,Qataris,7,4,3,140,26,114
3,__,Other G.C.C,0,0,0,0,0,0
4,__,Other Arabs,0,0,0,81,1,80
5,__,Foreign,0,0,0,0,0,0
6,__,Total,7,4,3,221,27,194
7,2018,Qataris,9,5,4,151,17,134
8,__,Other G.C.C,2,1,1,5,3,2
9,__,Other Arabs,0,0,0,96,1,95
10,__,Foreign,0,0,0,0,0,0
11,__,Total,11,6,5,252,21,231
12,2019,Qataris,16,8,8,165,27,138
13,__,Other G.C.C,6,2,4,4,3,1
14,__,Other Arabs,0,0,0,120,1,119
15,__,Foreign,0,0,0,0,0,0
16,__,Total,22,10,12,289,31,258
17,2020,Qataris,17,10,7,174,30,144
18,__,Other G.C.C,7,4,3,4,3,1
19,__,Other Arabs,0,0,0,159,3,156
20,__,Foreign,0,0,0,0,0,0
21,__,Total,24,14,10,337,36,301
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": false, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": false, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false, "Row Nesting": true}
|
psa--4--264--A1
|
How many Qatari and Other G.C.C lawyers under training were females in the years 2018 and 2019?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": false, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": 2, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{5} || {1} || {8} || {2}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7\n0,Occupation Year & Nationality,__,Lawyers under training,__,__,* Lawyers working*,__,__\n1,__,__,Total,Females,Males,Total,Females,Males\n2,2017,Qataris,7,4,3,140,26,114\n3,__,Other G.C.C,0,0,0,0,0,0\n4,__,Other Arabs,0,0,0,81,1,80\n5,__,Foreign,0,0,0,0,0,0\n6,__,Total,7,4,3,221,27,194\n7,2018,Qataris,9,5,4,151,17,134\n8,__,Other G.C.C,2,1,1,5,3,2\n9,__,Other Arabs,0,0,0,96,1,95\n10,__,Foreign,0,0,0,0,0,0\n11,__,Total,11,6,5,252,21,231\n12,2019,Qataris,16,8,8,165,27,138\n13,__,Other G.C.C,6,2,4,4,3,1\n14,__,Other Arabs,0,0,0,120,1,119\n15,__,Foreign,0,0,0,0,0,0\n16,__,Total,22,10,12,289,31,258\n17,2020,Qataris,17,10,7,174,30,144\n18,__,Other G.C.C,7,4,3,4,3,1\n19,__,Other Arabs,0,0,0,159,3,156\n20,__,Foreign,0,0,0,0,0,0\n21,__,Total,24,14,10,337,36,301\n` \\n\\nQuestion: `How many Qatari and Other G.C.C lawyers under training were females in the years 2018 and 2019?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7\n0,Occupation Year & Nationality,__,Lawyers under training,__,__,* Lawyers working*,__,__\n1,__,__,Total,Females,Males,Total,Females,Males\n2,2017,Qataris,7,4,3,140,26,114\n3,__,Other G.C.C,0,0,0,0,0,0\n4,__,Other Arabs,0,0,0,81,1,80\n5,__,Foreign,0,0,0,0,0,0\n6,__,Total,7,4,3,221,27,194\n7,2018,Qataris,9,5,4,151,17,134\n8,__,Other G.C.C,2,1,1,5,3,2\n9,__,Other Arabs,0,0,0,96,1,95\n10,__,Foreign,0,0,0,0,0,0\n11,__,Total,11,6,5,252,21,231\n12,2019,Qataris,16,8,8,165,27,138\n13,__,Other G.C.C,6,2,4,4,3,1\n14,__,Other Arabs,0,0,0,120,1,119\n15,__,Foreign,0,0,0,0,0,0\n16,__,Total,22,10,12,289,31,258\n17,2020,Qataris,17,10,7,174,30,144\n18,__,Other G.C.C,7,4,3,4,3,1\n19,__,Other Arabs,0,0,0,159,3,156\n20,__,Foreign,0,0,0,0,0,0\n21,__,Total,24,14,10,337,36,301\n` \\n\\nQuestion: `How many Qatari and Other G.C.C lawyers under training were females in the years 2018 and 2019?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
psa--4--264
|
./tables/csvs/psa--4--264.csv
|
./tables/images/psa--4--264.jpg
|
,0,1,2,3,4,5,6,7
0,Occupation Year & Nationality,__,Lawyers under training,__,__,* Lawyers working*,__,__
1,__,__,Total,Females,Males,Total,Females,Males
2,2017,Qataris,7,4,3,140,26,114
3,__,Other G.C.C,0,0,0,0,0,0
4,__,Other Arabs,0,0,0,81,1,80
5,__,Foreign,0,0,0,0,0,0
6,__,Total,7,4,3,221,27,194
7,2018,Qataris,9,5,4,151,17,134
8,__,Other G.C.C,2,1,1,5,3,2
9,__,Other Arabs,0,0,0,96,1,95
10,__,Foreign,0,0,0,0,0,0
11,__,Total,11,6,5,252,21,231
12,2019,Qataris,16,8,8,165,27,138
13,__,Other G.C.C,6,2,4,4,3,1
14,__,Other Arabs,0,0,0,120,1,119
15,__,Foreign,0,0,0,0,0,0
16,__,Total,22,10,12,289,31,258
17,2020,Qataris,17,10,7,174,30,144
18,__,Other G.C.C,7,4,3,4,3,1
19,__,Other Arabs,0,0,0,159,3,156
20,__,Foreign,0,0,0,0,0,0
21,__,Total,24,14,10,337,36,301
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": false, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": false, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false, "Row Nesting": true}
|
psa--4--264--A0
|
What is the average number of female lawyers working for the years 2018 and 2019?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": true, "Row Filter Num Of Conditions": 1, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": 1, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": true, "Aggregation Aggregation On Plain": true, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": true, "Aggregation Grouping Local": false, "Aggregation Grouping Global": true, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": true, "Aggregation Num Of Aggregations": 1, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{8}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7\n0,Occupation Year & Nationality,__,Lawyers under training,__,__,* Lawyers working*,__,__\n1,__,__,Total,Females,Males,Total,Females,Males\n2,2017,Qataris,7,4,3,140,26,114\n3,__,Other G.C.C,0,0,0,0,0,0\n4,__,Other Arabs,0,0,0,81,1,80\n5,__,Foreign,0,0,0,0,0,0\n6,__,Total,7,4,3,221,27,194\n7,2018,Qataris,9,5,4,151,17,134\n8,__,Other G.C.C,2,1,1,5,3,2\n9,__,Other Arabs,0,0,0,96,1,95\n10,__,Foreign,0,0,0,0,0,0\n11,__,Total,11,6,5,252,21,231\n12,2019,Qataris,16,8,8,165,27,138\n13,__,Other G.C.C,6,2,4,4,3,1\n14,__,Other Arabs,0,0,0,120,1,119\n15,__,Foreign,0,0,0,0,0,0\n16,__,Total,22,10,12,289,31,258\n17,2020,Qataris,17,10,7,174,30,144\n18,__,Other G.C.C,7,4,3,4,3,1\n19,__,Other Arabs,0,0,0,159,3,156\n20,__,Foreign,0,0,0,0,0,0\n21,__,Total,24,14,10,337,36,301\n` \\n\\nQuestion: `What is the average number of female lawyers working for the years 2018 and 2019?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7\n0,Occupation Year & Nationality,__,Lawyers under training,__,__,* Lawyers working*,__,__\n1,__,__,Total,Females,Males,Total,Females,Males\n2,2017,Qataris,7,4,3,140,26,114\n3,__,Other G.C.C,0,0,0,0,0,0\n4,__,Other Arabs,0,0,0,81,1,80\n5,__,Foreign,0,0,0,0,0,0\n6,__,Total,7,4,3,221,27,194\n7,2018,Qataris,9,5,4,151,17,134\n8,__,Other G.C.C,2,1,1,5,3,2\n9,__,Other Arabs,0,0,0,96,1,95\n10,__,Foreign,0,0,0,0,0,0\n11,__,Total,11,6,5,252,21,231\n12,2019,Qataris,16,8,8,165,27,138\n13,__,Other G.C.C,6,2,4,4,3,1\n14,__,Other Arabs,0,0,0,120,1,119\n15,__,Foreign,0,0,0,0,0,0\n16,__,Total,22,10,12,289,31,258\n17,2020,Qataris,17,10,7,174,30,144\n18,__,Other G.C.C,7,4,3,4,3,1\n19,__,Other Arabs,0,0,0,159,3,156\n20,__,Foreign,0,0,0,0,0,0\n21,__,Total,24,14,10,337,36,301\n` \\n\\nQuestion: `What is the average number of female lawyers working for the years 2018 and 2019?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
psa--4--264
|
./tables/csvs/psa--4--264.csv
|
./tables/images/psa--4--264.jpg
|
,0,1,2,3,4,5,6,7
0,Occupation Year & Nationality,__,Lawyers under training,__,__,* Lawyers working*,__,__
1,__,__,Total,Females,Males,Total,Females,Males
2,2017,Qataris,7,4,3,140,26,114
3,__,Other G.C.C,0,0,0,0,0,0
4,__,Other Arabs,0,0,0,81,1,80
5,__,Foreign,0,0,0,0,0,0
6,__,Total,7,4,3,221,27,194
7,2018,Qataris,9,5,4,151,17,134
8,__,Other G.C.C,2,1,1,5,3,2
9,__,Other Arabs,0,0,0,96,1,95
10,__,Foreign,0,0,0,0,0,0
11,__,Total,11,6,5,252,21,231
12,2019,Qataris,16,8,8,165,27,138
13,__,Other G.C.C,6,2,4,4,3,1
14,__,Other Arabs,0,0,0,120,1,119
15,__,Foreign,0,0,0,0,0,0
16,__,Total,22,10,12,289,31,258
17,2020,Qataris,17,10,7,174,30,144
18,__,Other G.C.C,7,4,3,4,3,1
19,__,Other Arabs,0,0,0,159,3,156
20,__,Foreign,0,0,0,0,0,0
21,__,Total,24,14,10,337,36,301
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": false, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": false, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false, "Row Nesting": true}
|
psa--4--264--A4
|
In 2019, were there more Qatari Lawyers under training than Other G.C.C Lawyers working?
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": false, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": false, "Returned Columns": false, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": false, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": false, "Yes/No": true, "Yes/No Scope Single": false, "Yes/No Scope Multiple": true, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
Yes
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7\n0,Occupation Year & Nationality,__,Lawyers under training,__,__,* Lawyers working*,__,__\n1,__,__,Total,Females,Males,Total,Females,Males\n2,2017,Qataris,7,4,3,140,26,114\n3,__,Other G.C.C,0,0,0,0,0,0\n4,__,Other Arabs,0,0,0,81,1,80\n5,__,Foreign,0,0,0,0,0,0\n6,__,Total,7,4,3,221,27,194\n7,2018,Qataris,9,5,4,151,17,134\n8,__,Other G.C.C,2,1,1,5,3,2\n9,__,Other Arabs,0,0,0,96,1,95\n10,__,Foreign,0,0,0,0,0,0\n11,__,Total,11,6,5,252,21,231\n12,2019,Qataris,16,8,8,165,27,138\n13,__,Other G.C.C,6,2,4,4,3,1\n14,__,Other Arabs,0,0,0,120,1,119\n15,__,Foreign,0,0,0,0,0,0\n16,__,Total,22,10,12,289,31,258\n17,2020,Qataris,17,10,7,174,30,144\n18,__,Other G.C.C,7,4,3,4,3,1\n19,__,Other Arabs,0,0,0,159,3,156\n20,__,Foreign,0,0,0,0,0,0\n21,__,Total,24,14,10,337,36,301\n` \\n\\nQuestion: `In 2019, were there more Qatari Lawyers under training than Other G.C.C Lawyers working?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7\n0,Occupation Year & Nationality,__,Lawyers under training,__,__,* Lawyers working*,__,__\n1,__,__,Total,Females,Males,Total,Females,Males\n2,2017,Qataris,7,4,3,140,26,114\n3,__,Other G.C.C,0,0,0,0,0,0\n4,__,Other Arabs,0,0,0,81,1,80\n5,__,Foreign,0,0,0,0,0,0\n6,__,Total,7,4,3,221,27,194\n7,2018,Qataris,9,5,4,151,17,134\n8,__,Other G.C.C,2,1,1,5,3,2\n9,__,Other Arabs,0,0,0,96,1,95\n10,__,Foreign,0,0,0,0,0,0\n11,__,Total,11,6,5,252,21,231\n12,2019,Qataris,16,8,8,165,27,138\n13,__,Other G.C.C,6,2,4,4,3,1\n14,__,Other Arabs,0,0,0,120,1,119\n15,__,Foreign,0,0,0,0,0,0\n16,__,Total,22,10,12,289,31,258\n17,2020,Qataris,17,10,7,174,30,144\n18,__,Other G.C.C,7,4,3,4,3,1\n19,__,Other Arabs,0,0,0,159,3,156\n20,__,Foreign,0,0,0,0,0,0\n21,__,Total,24,14,10,337,36,301\n` \\n\\nQuestion: `In 2019, were there more Qatari Lawyers under training than Other G.C.C Lawyers working?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
psa--4--264
|
./tables/csvs/psa--4--264.csv
|
./tables/images/psa--4--264.jpg
|
,0,1,2,3,4,5,6,7
0,Occupation Year & Nationality,__,Lawyers under training,__,__,* Lawyers working*,__,__
1,__,__,Total,Females,Males,Total,Females,Males
2,2017,Qataris,7,4,3,140,26,114
3,__,Other G.C.C,0,0,0,0,0,0
4,__,Other Arabs,0,0,0,81,1,80
5,__,Foreign,0,0,0,0,0,0
6,__,Total,7,4,3,221,27,194
7,2018,Qataris,9,5,4,151,17,134
8,__,Other G.C.C,2,1,1,5,3,2
9,__,Other Arabs,0,0,0,96,1,95
10,__,Foreign,0,0,0,0,0,0
11,__,Total,11,6,5,252,21,231
12,2019,Qataris,16,8,8,165,27,138
13,__,Other G.C.C,6,2,4,4,3,1
14,__,Other Arabs,0,0,0,120,1,119
15,__,Foreign,0,0,0,0,0,0
16,__,Total,22,10,12,289,31,258
17,2020,Qataris,17,10,7,174,30,144
18,__,Other G.C.C,7,4,3,4,3,1
19,__,Other Arabs,0,0,0,159,3,156
20,__,Foreign,0,0,0,0,0,0
21,__,Total,24,14,10,337,36,301
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": false, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": false, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false, "Row Nesting": true}
|
psa--4--264--A5
|
How many total lawyers under training were there in years where the total number of lawyers working was greater than 250?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": true, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": true, "Row Filter Num Of Conditions": 1, "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": 1, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{57}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7\n0,Occupation Year & Nationality,__,Lawyers under training,__,__,* Lawyers working*,__,__\n1,__,__,Total,Females,Males,Total,Females,Males\n2,2017,Qataris,7,4,3,140,26,114\n3,__,Other G.C.C,0,0,0,0,0,0\n4,__,Other Arabs,0,0,0,81,1,80\n5,__,Foreign,0,0,0,0,0,0\n6,__,Total,7,4,3,221,27,194\n7,2018,Qataris,9,5,4,151,17,134\n8,__,Other G.C.C,2,1,1,5,3,2\n9,__,Other Arabs,0,0,0,96,1,95\n10,__,Foreign,0,0,0,0,0,0\n11,__,Total,11,6,5,252,21,231\n12,2019,Qataris,16,8,8,165,27,138\n13,__,Other G.C.C,6,2,4,4,3,1\n14,__,Other Arabs,0,0,0,120,1,119\n15,__,Foreign,0,0,0,0,0,0\n16,__,Total,22,10,12,289,31,258\n17,2020,Qataris,17,10,7,174,30,144\n18,__,Other G.C.C,7,4,3,4,3,1\n19,__,Other Arabs,0,0,0,159,3,156\n20,__,Foreign,0,0,0,0,0,0\n21,__,Total,24,14,10,337,36,301\n` \\n\\nQuestion: `How many total lawyers under training were there in years where the total number of lawyers working was greater than 250?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7\n0,Occupation Year & Nationality,__,Lawyers under training,__,__,* Lawyers working*,__,__\n1,__,__,Total,Females,Males,Total,Females,Males\n2,2017,Qataris,7,4,3,140,26,114\n3,__,Other G.C.C,0,0,0,0,0,0\n4,__,Other Arabs,0,0,0,81,1,80\n5,__,Foreign,0,0,0,0,0,0\n6,__,Total,7,4,3,221,27,194\n7,2018,Qataris,9,5,4,151,17,134\n8,__,Other G.C.C,2,1,1,5,3,2\n9,__,Other Arabs,0,0,0,96,1,95\n10,__,Foreign,0,0,0,0,0,0\n11,__,Total,11,6,5,252,21,231\n12,2019,Qataris,16,8,8,165,27,138\n13,__,Other G.C.C,6,2,4,4,3,1\n14,__,Other Arabs,0,0,0,120,1,119\n15,__,Foreign,0,0,0,0,0,0\n16,__,Total,22,10,12,289,31,258\n17,2020,Qataris,17,10,7,174,30,144\n18,__,Other G.C.C,7,4,3,4,3,1\n19,__,Other Arabs,0,0,0,159,3,156\n20,__,Foreign,0,0,0,0,0,0\n21,__,Total,24,14,10,337,36,301\n` \\n\\nQuestion: `How many total lawyers under training were there in years where the total number of lawyers working was greater than 250?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
psa--4--264
|
./tables/csvs/psa--4--264.csv
|
./tables/images/psa--4--264.jpg
|
,0,1,2,3,4,5,6,7
0,Occupation Year & Nationality,__,Lawyers under training,__,__,* Lawyers working*,__,__
1,__,__,Total,Females,Males,Total,Females,Males
2,2017,Qataris,7,4,3,140,26,114
3,__,Other G.C.C,0,0,0,0,0,0
4,__,Other Arabs,0,0,0,81,1,80
5,__,Foreign,0,0,0,0,0,0
6,__,Total,7,4,3,221,27,194
7,2018,Qataris,9,5,4,151,17,134
8,__,Other G.C.C,2,1,1,5,3,2
9,__,Other Arabs,0,0,0,96,1,95
10,__,Foreign,0,0,0,0,0,0
11,__,Total,11,6,5,252,21,231
12,2019,Qataris,16,8,8,165,27,138
13,__,Other G.C.C,6,2,4,4,3,1
14,__,Other Arabs,0,0,0,120,1,119
15,__,Foreign,0,0,0,0,0,0
16,__,Total,22,10,12,289,31,258
17,2020,Qataris,17,10,7,174,30,144
18,__,Other G.C.C,7,4,3,4,3,1
19,__,Other Arabs,0,0,0,159,3,156
20,__,Foreign,0,0,0,0,0,0
21,__,Total,24,14,10,337,36,301
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": false, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": false, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false, "Row Nesting": true}
|
psa--4--264--A3
|
For the year with the highest number of total lawyers under training, what is the difference between the total number of lawyers working and the total number of lawyers under training?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": true, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": true, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": 1, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": 1, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{313}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7\n0,Occupation Year & Nationality,__,Lawyers under training,__,__,* Lawyers working*,__,__\n1,__,__,Total,Females,Males,Total,Females,Males\n2,2017,Qataris,7,4,3,140,26,114\n3,__,Other G.C.C,0,0,0,0,0,0\n4,__,Other Arabs,0,0,0,81,1,80\n5,__,Foreign,0,0,0,0,0,0\n6,__,Total,7,4,3,221,27,194\n7,2018,Qataris,9,5,4,151,17,134\n8,__,Other G.C.C,2,1,1,5,3,2\n9,__,Other Arabs,0,0,0,96,1,95\n10,__,Foreign,0,0,0,0,0,0\n11,__,Total,11,6,5,252,21,231\n12,2019,Qataris,16,8,8,165,27,138\n13,__,Other G.C.C,6,2,4,4,3,1\n14,__,Other Arabs,0,0,0,120,1,119\n15,__,Foreign,0,0,0,0,0,0\n16,__,Total,22,10,12,289,31,258\n17,2020,Qataris,17,10,7,174,30,144\n18,__,Other G.C.C,7,4,3,4,3,1\n19,__,Other Arabs,0,0,0,159,3,156\n20,__,Foreign,0,0,0,0,0,0\n21,__,Total,24,14,10,337,36,301\n` \\n\\nQuestion: `For the year with the highest number of total lawyers under training, what is the difference between the total number of lawyers working and the total number of lawyers under training?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7\n0,Occupation Year & Nationality,__,Lawyers under training,__,__,* Lawyers working*,__,__\n1,__,__,Total,Females,Males,Total,Females,Males\n2,2017,Qataris,7,4,3,140,26,114\n3,__,Other G.C.C,0,0,0,0,0,0\n4,__,Other Arabs,0,0,0,81,1,80\n5,__,Foreign,0,0,0,0,0,0\n6,__,Total,7,4,3,221,27,194\n7,2018,Qataris,9,5,4,151,17,134\n8,__,Other G.C.C,2,1,1,5,3,2\n9,__,Other Arabs,0,0,0,96,1,95\n10,__,Foreign,0,0,0,0,0,0\n11,__,Total,11,6,5,252,21,231\n12,2019,Qataris,16,8,8,165,27,138\n13,__,Other G.C.C,6,2,4,4,3,1\n14,__,Other Arabs,0,0,0,120,1,119\n15,__,Foreign,0,0,0,0,0,0\n16,__,Total,22,10,12,289,31,258\n17,2020,Qataris,17,10,7,174,30,144\n18,__,Other G.C.C,7,4,3,4,3,1\n19,__,Other Arabs,0,0,0,159,3,156\n20,__,Foreign,0,0,0,0,0,0\n21,__,Total,24,14,10,337,36,301\n` \\n\\nQuestion: `For the year with the highest number of total lawyers under training, what is the difference between the total number of lawyers working and the total number of lawyers under training?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
psa--4--264
|
./tables/csvs/psa--4--264.csv
|
./tables/images/psa--4--264.jpg
|
,0,1,2,3,4,5,6,7
0,Occupation Year & Nationality,__,Lawyers under training,__,__,* Lawyers working*,__,__
1,__,__,Total,Females,Males,Total,Females,Males
2,2017,Qataris,7,4,3,140,26,114
3,__,Other G.C.C,0,0,0,0,0,0
4,__,Other Arabs,0,0,0,81,1,80
5,__,Foreign,0,0,0,0,0,0
6,__,Total,7,4,3,221,27,194
7,2018,Qataris,9,5,4,151,17,134
8,__,Other G.C.C,2,1,1,5,3,2
9,__,Other Arabs,0,0,0,96,1,95
10,__,Foreign,0,0,0,0,0,0
11,__,Total,11,6,5,252,21,231
12,2019,Qataris,16,8,8,165,27,138
13,__,Other G.C.C,6,2,4,4,3,1
14,__,Other Arabs,0,0,0,120,1,119
15,__,Foreign,0,0,0,0,0,0
16,__,Total,22,10,12,289,31,258
17,2020,Qataris,17,10,7,174,30,144
18,__,Other G.C.C,7,4,3,4,3,1
19,__,Other Arabs,0,0,0,159,3,156
20,__,Foreign,0,0,0,0,0,0
21,__,Total,24,14,10,337,36,301
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": false, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": false, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false, "Row Nesting": true}
|
psa--4--264--M1
|
What are the 2 years with the largest total of female lawyers working?
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "", "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "", "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": "2", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": true, "Aggregation Aggregation On Plain": true, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": true, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": true, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": true, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": "1", "Rank": true, "Rank Rank On Plain": false, "Rank Rank On Expression": true, "Rank Report Top": "2"}
|
{2020} || {2019}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7\n0,Occupation Year & Nationality,__,Lawyers under training,__,__,* Lawyers working*,__,__\n1,__,__,Total,Females,Males,Total,Females,Males\n2,2017,Qataris,7,4,3,140,26,114\n3,__,Other G.C.C,0,0,0,0,0,0\n4,__,Other Arabs,0,0,0,81,1,80\n5,__,Foreign,0,0,0,0,0,0\n6,__,Total,7,4,3,221,27,194\n7,2018,Qataris,9,5,4,151,17,134\n8,__,Other G.C.C,2,1,1,5,3,2\n9,__,Other Arabs,0,0,0,96,1,95\n10,__,Foreign,0,0,0,0,0,0\n11,__,Total,11,6,5,252,21,231\n12,2019,Qataris,16,8,8,165,27,138\n13,__,Other G.C.C,6,2,4,4,3,1\n14,__,Other Arabs,0,0,0,120,1,119\n15,__,Foreign,0,0,0,0,0,0\n16,__,Total,22,10,12,289,31,258\n17,2020,Qataris,17,10,7,174,30,144\n18,__,Other G.C.C,7,4,3,4,3,1\n19,__,Other Arabs,0,0,0,159,3,156\n20,__,Foreign,0,0,0,0,0,0\n21,__,Total,24,14,10,337,36,301\n` \\n\\nQuestion: `What are the 2 years with the largest total of female lawyers working?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7\n0,Occupation Year & Nationality,__,Lawyers under training,__,__,* Lawyers working*,__,__\n1,__,__,Total,Females,Males,Total,Females,Males\n2,2017,Qataris,7,4,3,140,26,114\n3,__,Other G.C.C,0,0,0,0,0,0\n4,__,Other Arabs,0,0,0,81,1,80\n5,__,Foreign,0,0,0,0,0,0\n6,__,Total,7,4,3,221,27,194\n7,2018,Qataris,9,5,4,151,17,134\n8,__,Other G.C.C,2,1,1,5,3,2\n9,__,Other Arabs,0,0,0,96,1,95\n10,__,Foreign,0,0,0,0,0,0\n11,__,Total,11,6,5,252,21,231\n12,2019,Qataris,16,8,8,165,27,138\n13,__,Other G.C.C,6,2,4,4,3,1\n14,__,Other Arabs,0,0,0,120,1,119\n15,__,Foreign,0,0,0,0,0,0\n16,__,Total,22,10,12,289,31,258\n17,2020,Qataris,17,10,7,174,30,144\n18,__,Other G.C.C,7,4,3,4,3,1\n19,__,Other Arabs,0,0,0,159,3,156\n20,__,Foreign,0,0,0,0,0,0\n21,__,Total,24,14,10,337,36,301\n` \\n\\nQuestion: `What are the 2 years with the largest total of female lawyers working?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
psa--4--264
|
./tables/csvs/psa--4--264.csv
|
./tables/images/psa--4--264.jpg
|
,0,1,2,3,4,5,6,7
0,Occupation Year & Nationality,__,Lawyers under training,__,__,* Lawyers working*,__,__
1,__,__,Total,Females,Males,Total,Females,Males
2,2017,Qataris,7,4,3,140,26,114
3,__,Other G.C.C,0,0,0,0,0,0
4,__,Other Arabs,0,0,0,81,1,80
5,__,Foreign,0,0,0,0,0,0
6,__,Total,7,4,3,221,27,194
7,2018,Qataris,9,5,4,151,17,134
8,__,Other G.C.C,2,1,1,5,3,2
9,__,Other Arabs,0,0,0,96,1,95
10,__,Foreign,0,0,0,0,0,0
11,__,Total,11,6,5,252,21,231
12,2019,Qataris,16,8,8,165,27,138
13,__,Other G.C.C,6,2,4,4,3,1
14,__,Other Arabs,0,0,0,120,1,119
15,__,Foreign,0,0,0,0,0,0
16,__,Total,22,10,12,289,31,258
17,2020,Qataris,17,10,7,174,30,144
18,__,Other G.C.C,7,4,3,4,3,1
19,__,Other Arabs,0,0,0,159,3,156
20,__,Foreign,0,0,0,0,0,0
21,__,Total,24,14,10,337,36,301
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": false, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": false, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false, "Row Nesting": true}
|
psa--4--264--M0
|
What is the number of lawyers under training males per year?
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "", "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "", "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": "2", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": true, "Aggregation Aggregation On Plain": true, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": true, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": true, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": true, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": "1", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
{3} || {5} || {12} || {10}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7\n0,Occupation Year & Nationality,__,Lawyers under training,__,__,* Lawyers working*,__,__\n1,__,__,Total,Females,Males,Total,Females,Males\n2,2017,Qataris,7,4,3,140,26,114\n3,__,Other G.C.C,0,0,0,0,0,0\n4,__,Other Arabs,0,0,0,81,1,80\n5,__,Foreign,0,0,0,0,0,0\n6,__,Total,7,4,3,221,27,194\n7,2018,Qataris,9,5,4,151,17,134\n8,__,Other G.C.C,2,1,1,5,3,2\n9,__,Other Arabs,0,0,0,96,1,95\n10,__,Foreign,0,0,0,0,0,0\n11,__,Total,11,6,5,252,21,231\n12,2019,Qataris,16,8,8,165,27,138\n13,__,Other G.C.C,6,2,4,4,3,1\n14,__,Other Arabs,0,0,0,120,1,119\n15,__,Foreign,0,0,0,0,0,0\n16,__,Total,22,10,12,289,31,258\n17,2020,Qataris,17,10,7,174,30,144\n18,__,Other G.C.C,7,4,3,4,3,1\n19,__,Other Arabs,0,0,0,159,3,156\n20,__,Foreign,0,0,0,0,0,0\n21,__,Total,24,14,10,337,36,301\n` \\n\\nQuestion: `What is the number of lawyers under training males per year?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7\n0,Occupation Year & Nationality,__,Lawyers under training,__,__,* Lawyers working*,__,__\n1,__,__,Total,Females,Males,Total,Females,Males\n2,2017,Qataris,7,4,3,140,26,114\n3,__,Other G.C.C,0,0,0,0,0,0\n4,__,Other Arabs,0,0,0,81,1,80\n5,__,Foreign,0,0,0,0,0,0\n6,__,Total,7,4,3,221,27,194\n7,2018,Qataris,9,5,4,151,17,134\n8,__,Other G.C.C,2,1,1,5,3,2\n9,__,Other Arabs,0,0,0,96,1,95\n10,__,Foreign,0,0,0,0,0,0\n11,__,Total,11,6,5,252,21,231\n12,2019,Qataris,16,8,8,165,27,138\n13,__,Other G.C.C,6,2,4,4,3,1\n14,__,Other Arabs,0,0,0,120,1,119\n15,__,Foreign,0,0,0,0,0,0\n16,__,Total,22,10,12,289,31,258\n17,2020,Qataris,17,10,7,174,30,144\n18,__,Other G.C.C,7,4,3,4,3,1\n19,__,Other Arabs,0,0,0,159,3,156\n20,__,Foreign,0,0,0,0,0,0\n21,__,Total,24,14,10,337,36,301\n` \\n\\nQuestion: `What is the number of lawyers under training males per year?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
arxiv--10--6044
|
./tables/csvs/arxiv--10--6044.csv
|
./tables/images/arxiv--10--6044.jpg
|
,0,1,2,3,4,5
0,Steganography Methods,QP,Embedding Capacity (in bpnsmv),__,__,__
1,__,__,0.05,0.1,0.2,0.3
2,Tar1 |14,15,70.11,73.46,76.53,77.90
3,__,25,76.23,78.10,81.56,83.09
4,__,35,72.15,75.50,78.67,79.43
5,Tar2 17,15,70.98,72.01,73.32,75.39
6,__,25,78.42,80.59,83.34,84.21
7,__,35,75.25,75.91,76.75,78.49
8,Tar3 19,15,67.20,69.49,70.54,71.11
9,__,25,73.01,75.74,79.70,80.93
10,__,35,68.22,71.52,73.06,75.43
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": true, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
arxiv--10--6044--M0
|
What is the largest embedding capacity 0.05 per steganography method?
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "", "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "", "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": "1", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": true, "Aggregation Aggregation On Plain": true, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": true, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": true, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": true, "Aggregation Num Of Aggregations": "1", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
{76.23} || {78.42} || {73.01}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5\n0,Steganography Methods,QP,Embedding Capacity (in bpnsmv),__,__,__\n1,__,__,0.05,0.1,0.2,0.3\n2,Tar1 |14,15,70.11,73.46,76.53,77.90\n3,__,25,76.23,78.10,81.56,83.09\n4,__,35,72.15,75.50,78.67,79.43\n5,Tar2 17,15,70.98,72.01,73.32,75.39\n6,__,25,78.42,80.59,83.34,84.21\n7,__,35,75.25,75.91,76.75,78.49\n8,Tar3 19,15,67.20,69.49,70.54,71.11\n9,__,25,73.01,75.74,79.70,80.93\n10,__,35,68.22,71.52,73.06,75.43\n` \\n\\nQuestion: `What is the largest embedding capacity 0.05 per steganography method?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5\n0,Steganography Methods,QP,Embedding Capacity (in bpnsmv),__,__,__\n1,__,__,0.05,0.1,0.2,0.3\n2,Tar1 |14,15,70.11,73.46,76.53,77.90\n3,__,25,76.23,78.10,81.56,83.09\n4,__,35,72.15,75.50,78.67,79.43\n5,Tar2 17,15,70.98,72.01,73.32,75.39\n6,__,25,78.42,80.59,83.34,84.21\n7,__,35,75.25,75.91,76.75,78.49\n8,Tar3 19,15,67.20,69.49,70.54,71.11\n9,__,25,73.01,75.74,79.70,80.93\n10,__,35,68.22,71.52,73.06,75.43\n` \\n\\nQuestion: `What is the largest embedding capacity 0.05 per steganography method?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
arxiv--10--6044
|
./tables/csvs/arxiv--10--6044.csv
|
./tables/images/arxiv--10--6044.jpg
|
,0,1,2,3,4,5
0,Steganography Methods,QP,Embedding Capacity (in bpnsmv),__,__,__
1,__,__,0.05,0.1,0.2,0.3
2,Tar1 |14,15,70.11,73.46,76.53,77.90
3,__,25,76.23,78.10,81.56,83.09
4,__,35,72.15,75.50,78.67,79.43
5,Tar2 17,15,70.98,72.01,73.32,75.39
6,__,25,78.42,80.59,83.34,84.21
7,__,35,75.25,75.91,76.75,78.49
8,Tar3 19,15,67.20,69.49,70.54,71.11
9,__,25,73.01,75.74,79.70,80.93
10,__,35,68.22,71.52,73.06,75.43
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": true, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
arxiv--10--6044--M1
|
What is the smallest Embedding Capacity 0.1?
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "", "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "", "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": "1", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": true, "Aggregation Aggregation On Plain": true, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": true, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": true, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": true, "Aggregation Num Of Aggregations": "1", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
{69.49}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5\n0,Steganography Methods,QP,Embedding Capacity (in bpnsmv),__,__,__\n1,__,__,0.05,0.1,0.2,0.3\n2,Tar1 |14,15,70.11,73.46,76.53,77.90\n3,__,25,76.23,78.10,81.56,83.09\n4,__,35,72.15,75.50,78.67,79.43\n5,Tar2 17,15,70.98,72.01,73.32,75.39\n6,__,25,78.42,80.59,83.34,84.21\n7,__,35,75.25,75.91,76.75,78.49\n8,Tar3 19,15,67.20,69.49,70.54,71.11\n9,__,25,73.01,75.74,79.70,80.93\n10,__,35,68.22,71.52,73.06,75.43\n` \\n\\nQuestion: `What is the smallest Embedding Capacity 0.1?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5\n0,Steganography Methods,QP,Embedding Capacity (in bpnsmv),__,__,__\n1,__,__,0.05,0.1,0.2,0.3\n2,Tar1 |14,15,70.11,73.46,76.53,77.90\n3,__,25,76.23,78.10,81.56,83.09\n4,__,35,72.15,75.50,78.67,79.43\n5,Tar2 17,15,70.98,72.01,73.32,75.39\n6,__,25,78.42,80.59,83.34,84.21\n7,__,35,75.25,75.91,76.75,78.49\n8,Tar3 19,15,67.20,69.49,70.54,71.11\n9,__,25,73.01,75.74,79.70,80.93\n10,__,35,68.22,71.52,73.06,75.43\n` \\n\\nQuestion: `What is the smallest Embedding Capacity 0.1?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
arxiv--23--9828
|
./tables/csvs/arxiv--23--9828.csv
|
./tables/images/arxiv--23--9828.jpg
|
,0,1,2,3,4
0,,Highly Specialized Domains,__,Common Domains,__
1,__,Glaucoma,Bird Species,Occupation,Traffic
2,ResNet-18,62.84,74.08,87.78,63.09
3,ResNet-34,72.13,65.74,97.78,74.21
4,ResNext-32,55.74,57.41,93.33,54.37
5,Inception-V3,50.82,58.33,94.44,54.76
6,CEAL,73.77,66.67,89.99,92.86
7,GARDNet,54.65,1,-,-
8,RAPID,85.52,86.11,88.33,83.33
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": true, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
arxiv--23--9828--M0
|
What is the CEAL accuracy result for Occupation in Common Domains?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": true, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "1", "Row Filter Retained Rows Single": true, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "1", "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": "2", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": "", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
{89.99}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4\n0,,Highly Specialized Domains,__,Common Domains,__\n1,__,Glaucoma,Bird Species,Occupation,Traffic\n2,ResNet-18,62.84,74.08,87.78,63.09\n3,ResNet-34,72.13,65.74,97.78,74.21\n4,ResNext-32,55.74,57.41,93.33,54.37\n5,Inception-V3,50.82,58.33,94.44,54.76\n6,CEAL,73.77,66.67,89.99,92.86\n7,GARDNet,54.65,1,-,-\n8,RAPID,85.52,86.11,88.33,83.33\n` \\n\\nQuestion: `What is the CEAL accuracy result for Occupation in Common Domains?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4\n0,,Highly Specialized Domains,__,Common Domains,__\n1,__,Glaucoma,Bird Species,Occupation,Traffic\n2,ResNet-18,62.84,74.08,87.78,63.09\n3,ResNet-34,72.13,65.74,97.78,74.21\n4,ResNext-32,55.74,57.41,93.33,54.37\n5,Inception-V3,50.82,58.33,94.44,54.76\n6,CEAL,73.77,66.67,89.99,92.86\n7,GARDNet,54.65,1,-,-\n8,RAPID,85.52,86.11,88.33,83.33\n` \\n\\nQuestion: `What is the CEAL accuracy result for Occupation in Common Domains?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
arxiv--23--9828
|
./tables/csvs/arxiv--23--9828.csv
|
./tables/images/arxiv--23--9828.jpg
|
,0,1,2,3,4
0,,Highly Specialized Domains,__,Common Domains,__
1,__,Glaucoma,Bird Species,Occupation,Traffic
2,ResNet-18,62.84,74.08,87.78,63.09
3,ResNet-34,72.13,65.74,97.78,74.21
4,ResNext-32,55.74,57.41,93.33,54.37
5,Inception-V3,50.82,58.33,94.44,54.76
6,CEAL,73.77,66.67,89.99,92.86
7,GARDNet,54.65,1,-,-
8,RAPID,85.52,86.11,88.33,83.33
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": true, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
arxiv--23--9828--M1
|
Is the Rapid result with the Traffic task in Common Domains above 85?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": true, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "1", "Row Filter Retained Rows Single": true, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "1", "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": "2", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": "1", "Yes/No": true, "Yes/No Scope Single": true, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": "", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
No
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4\n0,,Highly Specialized Domains,__,Common Domains,__\n1,__,Glaucoma,Bird Species,Occupation,Traffic\n2,ResNet-18,62.84,74.08,87.78,63.09\n3,ResNet-34,72.13,65.74,97.78,74.21\n4,ResNext-32,55.74,57.41,93.33,54.37\n5,Inception-V3,50.82,58.33,94.44,54.76\n6,CEAL,73.77,66.67,89.99,92.86\n7,GARDNet,54.65,1,-,-\n8,RAPID,85.52,86.11,88.33,83.33\n` \\n\\nQuestion: `Is the Rapid result with the Traffic task in Common Domains above 85?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4\n0,,Highly Specialized Domains,__,Common Domains,__\n1,__,Glaucoma,Bird Species,Occupation,Traffic\n2,ResNet-18,62.84,74.08,87.78,63.09\n3,ResNet-34,72.13,65.74,97.78,74.21\n4,ResNext-32,55.74,57.41,93.33,54.37\n5,Inception-V3,50.82,58.33,94.44,54.76\n6,CEAL,73.77,66.67,89.99,92.86\n7,GARDNet,54.65,1,-,-\n8,RAPID,85.52,86.11,88.33,83.33\n` \\n\\nQuestion: `Is the Rapid result with the Traffic task in Common Domains above 85?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
arxiv--26--10147
|
./tables/csvs/arxiv--26--10147.csv
|
./tables/images/arxiv--26--10147.jpg
|
,0,1,2,3,4,5,6
0,Ablation Settings,Last-FM,__,MIND,__,Alibaba-iFashion,__
1,__,Recall,NDCG,Recall,NDCG,Recall,NDCG
2,KGRec,0.0943,0.0810,0.0439,0.0319,0.1188,0.0743
3,w/o MAE,0.0918*,0.0792*,0.0374*,0.0238*,0.1178*,0.0737*
4,w/o Rationale-M,0.0929,0.0805,0.0423,0.0311,0.1183,0.0739
5,w/o CL,0.0926,0.0796,0.0425,0.0313,0.1180,0.0734
6,w/o Rationale-Aug,0.0931,0.0801,0.0405,0.0278,0.1185,0.0741
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
arxiv--26--10147--M1
|
Report the highest recall in Last-FM
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "", "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "", "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": "2", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": true, "Aggregation Aggregation On Plain": true, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": true, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": true, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": true, "Aggregation Num Of Aggregations": "1", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
{0.0943}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6\n0,Ablation Settings,Last-FM,__,MIND,__,Alibaba-iFashion,__\n1,__,Recall,NDCG,Recall,NDCG,Recall,NDCG\n2,KGRec,0.0943,0.0810,0.0439,0.0319,0.1188,0.0743\n3,w/o MAE,0.0918*,0.0792*,0.0374*,0.0238*,0.1178*,0.0737*\n4,w/o Rationale-M,0.0929,0.0805,0.0423,0.0311,0.1183,0.0739\n5,w/o CL,0.0926,0.0796,0.0425,0.0313,0.1180,0.0734\n6,w/o Rationale-Aug,0.0931,0.0801,0.0405,0.0278,0.1185,0.0741\n` \\n\\nQuestion: `Report the highest recall in Last-FM`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6\n0,Ablation Settings,Last-FM,__,MIND,__,Alibaba-iFashion,__\n1,__,Recall,NDCG,Recall,NDCG,Recall,NDCG\n2,KGRec,0.0943,0.0810,0.0439,0.0319,0.1188,0.0743\n3,w/o MAE,0.0918*,0.0792*,0.0374*,0.0238*,0.1178*,0.0737*\n4,w/o Rationale-M,0.0929,0.0805,0.0423,0.0311,0.1183,0.0739\n5,w/o CL,0.0926,0.0796,0.0425,0.0313,0.1180,0.0734\n6,w/o Rationale-Aug,0.0931,0.0801,0.0405,0.0278,0.1185,0.0741\n` \\n\\nQuestion: `Report the highest recall in Last-FM`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
arxiv--26--10147
|
./tables/csvs/arxiv--26--10147.csv
|
./tables/images/arxiv--26--10147.jpg
|
,0,1,2,3,4,5,6
0,Ablation Settings,Last-FM,__,MIND,__,Alibaba-iFashion,__
1,__,Recall,NDCG,Recall,NDCG,Recall,NDCG
2,KGRec,0.0943,0.0810,0.0439,0.0319,0.1188,0.0743
3,w/o MAE,0.0918*,0.0792*,0.0374*,0.0238*,0.1178*,0.0737*
4,w/o Rationale-M,0.0929,0.0805,0.0423,0.0311,0.1183,0.0739
5,w/o CL,0.0926,0.0796,0.0425,0.0313,0.1180,0.0734
6,w/o Rationale-Aug,0.0931,0.0801,0.0405,0.0278,0.1185,0.0741
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
arxiv--26--10147--A1
|
Which Ablation Settings had a Recall value less than 0.05 in the MIND column?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": true, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": true, "Row Filter Num Of Conditions": 1, "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": 1, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{KGRec} || {w/o MAE} || {w/o Rationale-M} || {w/o CL} || {w/o Rationale-Aug}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6\n0,Ablation Settings,Last-FM,__,MIND,__,Alibaba-iFashion,__\n1,__,Recall,NDCG,Recall,NDCG,Recall,NDCG\n2,KGRec,0.0943,0.0810,0.0439,0.0319,0.1188,0.0743\n3,w/o MAE,0.0918*,0.0792*,0.0374*,0.0238*,0.1178*,0.0737*\n4,w/o Rationale-M,0.0929,0.0805,0.0423,0.0311,0.1183,0.0739\n5,w/o CL,0.0926,0.0796,0.0425,0.0313,0.1180,0.0734\n6,w/o Rationale-Aug,0.0931,0.0801,0.0405,0.0278,0.1185,0.0741\n` \\n\\nQuestion: `Which Ablation Settings had a Recall value less than 0.05 in the MIND column?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6\n0,Ablation Settings,Last-FM,__,MIND,__,Alibaba-iFashion,__\n1,__,Recall,NDCG,Recall,NDCG,Recall,NDCG\n2,KGRec,0.0943,0.0810,0.0439,0.0319,0.1188,0.0743\n3,w/o MAE,0.0918*,0.0792*,0.0374*,0.0238*,0.1178*,0.0737*\n4,w/o Rationale-M,0.0929,0.0805,0.0423,0.0311,0.1183,0.0739\n5,w/o CL,0.0926,0.0796,0.0425,0.0313,0.1180,0.0734\n6,w/o Rationale-Aug,0.0931,0.0801,0.0405,0.0278,0.1185,0.0741\n` \\n\\nQuestion: `Which Ablation Settings had a Recall value less than 0.05 in the MIND column?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
arxiv--26--10147
|
./tables/csvs/arxiv--26--10147.csv
|
./tables/images/arxiv--26--10147.jpg
|
,0,1,2,3,4,5,6
0,Ablation Settings,Last-FM,__,MIND,__,Alibaba-iFashion,__
1,__,Recall,NDCG,Recall,NDCG,Recall,NDCG
2,KGRec,0.0943,0.0810,0.0439,0.0319,0.1188,0.0743
3,w/o MAE,0.0918*,0.0792*,0.0374*,0.0238*,0.1178*,0.0737*
4,w/o Rationale-M,0.0929,0.0805,0.0423,0.0311,0.1183,0.0739
5,w/o CL,0.0926,0.0796,0.0425,0.0313,0.1180,0.0734
6,w/o Rationale-Aug,0.0931,0.0801,0.0405,0.0278,0.1185,0.0741
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
arxiv--26--10147--A2
|
What were the Recall and NDCG values for Last-FM and Recall for MIND for the Ablation Settings 'KGRec' and 'w/o MAE'?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": false, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": 3, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{0.0943 | 0.0810 | 0.0439} || {0.0918* | 0.0792* | 0.0374*}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6\n0,Ablation Settings,Last-FM,__,MIND,__,Alibaba-iFashion,__\n1,__,Recall,NDCG,Recall,NDCG,Recall,NDCG\n2,KGRec,0.0943,0.0810,0.0439,0.0319,0.1188,0.0743\n3,w/o MAE,0.0918*,0.0792*,0.0374*,0.0238*,0.1178*,0.0737*\n4,w/o Rationale-M,0.0929,0.0805,0.0423,0.0311,0.1183,0.0739\n5,w/o CL,0.0926,0.0796,0.0425,0.0313,0.1180,0.0734\n6,w/o Rationale-Aug,0.0931,0.0801,0.0405,0.0278,0.1185,0.0741\n` \\n\\nQuestion: `What were the Recall and NDCG values for Last-FM and Recall for MIND for the Ablation Settings 'KGRec' and 'w/o MAE'?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6\n0,Ablation Settings,Last-FM,__,MIND,__,Alibaba-iFashion,__\n1,__,Recall,NDCG,Recall,NDCG,Recall,NDCG\n2,KGRec,0.0943,0.0810,0.0439,0.0319,0.1188,0.0743\n3,w/o MAE,0.0918*,0.0792*,0.0374*,0.0238*,0.1178*,0.0737*\n4,w/o Rationale-M,0.0929,0.0805,0.0423,0.0311,0.1183,0.0739\n5,w/o CL,0.0926,0.0796,0.0425,0.0313,0.1180,0.0734\n6,w/o Rationale-Aug,0.0931,0.0801,0.0405,0.0278,0.1185,0.0741\n` \\n\\nQuestion: `What were the Recall and NDCG values for Last-FM and Recall for MIND for the Ablation Settings 'KGRec' and 'w/o MAE'?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
arxiv--26--10147
|
./tables/csvs/arxiv--26--10147.csv
|
./tables/images/arxiv--26--10147.jpg
|
,0,1,2,3,4,5,6
0,Ablation Settings,Last-FM,__,MIND,__,Alibaba-iFashion,__
1,__,Recall,NDCG,Recall,NDCG,Recall,NDCG
2,KGRec,0.0943,0.0810,0.0439,0.0319,0.1188,0.0743
3,w/o MAE,0.0918*,0.0792*,0.0374*,0.0238*,0.1178*,0.0737*
4,w/o Rationale-M,0.0929,0.0805,0.0423,0.0311,0.1183,0.0739
5,w/o CL,0.0926,0.0796,0.0425,0.0313,0.1180,0.0734
6,w/o Rationale-Aug,0.0931,0.0801,0.0405,0.0278,0.1185,0.0741
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
arxiv--26--10147--A0
|
For the Ablation Settings with a Recall value less than 0.05 in MIND, what is the difference between their NDCG values in Last-FM and Alibaba-iFashion?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": true, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": true, "Row Filter Num Of Conditions": 1, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": 1, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{0.0067} || {0.0055} || {0.0066} || {0.0062} || {0.0060}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6\n0,Ablation Settings,Last-FM,__,MIND,__,Alibaba-iFashion,__\n1,__,Recall,NDCG,Recall,NDCG,Recall,NDCG\n2,KGRec,0.0943,0.0810,0.0439,0.0319,0.1188,0.0743\n3,w/o MAE,0.0918*,0.0792*,0.0374*,0.0238*,0.1178*,0.0737*\n4,w/o Rationale-M,0.0929,0.0805,0.0423,0.0311,0.1183,0.0739\n5,w/o CL,0.0926,0.0796,0.0425,0.0313,0.1180,0.0734\n6,w/o Rationale-Aug,0.0931,0.0801,0.0405,0.0278,0.1185,0.0741\n` \\n\\nQuestion: `For the Ablation Settings with a Recall value less than 0.05 in MIND, what is the difference between their NDCG values in Last-FM and Alibaba-iFashion?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6\n0,Ablation Settings,Last-FM,__,MIND,__,Alibaba-iFashion,__\n1,__,Recall,NDCG,Recall,NDCG,Recall,NDCG\n2,KGRec,0.0943,0.0810,0.0439,0.0319,0.1188,0.0743\n3,w/o MAE,0.0918*,0.0792*,0.0374*,0.0238*,0.1178*,0.0737*\n4,w/o Rationale-M,0.0929,0.0805,0.0423,0.0311,0.1183,0.0739\n5,w/o CL,0.0926,0.0796,0.0425,0.0313,0.1180,0.0734\n6,w/o Rationale-Aug,0.0931,0.0801,0.0405,0.0278,0.1185,0.0741\n` \\n\\nQuestion: `For the Ablation Settings with a Recall value less than 0.05 in MIND, what is the difference between their NDCG values in Last-FM and Alibaba-iFashion?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
arxiv--26--10147
|
./tables/csvs/arxiv--26--10147.csv
|
./tables/images/arxiv--26--10147.jpg
|
,0,1,2,3,4,5,6
0,Ablation Settings,Last-FM,__,MIND,__,Alibaba-iFashion,__
1,__,Recall,NDCG,Recall,NDCG,Recall,NDCG
2,KGRec,0.0943,0.0810,0.0439,0.0319,0.1188,0.0743
3,w/o MAE,0.0918*,0.0792*,0.0374*,0.0238*,0.1178*,0.0737*
4,w/o Rationale-M,0.0929,0.0805,0.0423,0.0311,0.1183,0.0739
5,w/o CL,0.0926,0.0796,0.0425,0.0313,0.1180,0.0734
6,w/o Rationale-Aug,0.0931,0.0801,0.0405,0.0278,0.1185,0.0741
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
arxiv--26--10147--M0
|
Report recall of MIND without MAE
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": true, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "1", "Row Filter Retained Rows Single": true, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "1", "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": "2", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": "", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
{0.0374*}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6\n0,Ablation Settings,Last-FM,__,MIND,__,Alibaba-iFashion,__\n1,__,Recall,NDCG,Recall,NDCG,Recall,NDCG\n2,KGRec,0.0943,0.0810,0.0439,0.0319,0.1188,0.0743\n3,w/o MAE,0.0918*,0.0792*,0.0374*,0.0238*,0.1178*,0.0737*\n4,w/o Rationale-M,0.0929,0.0805,0.0423,0.0311,0.1183,0.0739\n5,w/o CL,0.0926,0.0796,0.0425,0.0313,0.1180,0.0734\n6,w/o Rationale-Aug,0.0931,0.0801,0.0405,0.0278,0.1185,0.0741\n` \\n\\nQuestion: `Report recall of MIND without MAE`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6\n0,Ablation Settings,Last-FM,__,MIND,__,Alibaba-iFashion,__\n1,__,Recall,NDCG,Recall,NDCG,Recall,NDCG\n2,KGRec,0.0943,0.0810,0.0439,0.0319,0.1188,0.0743\n3,w/o MAE,0.0918*,0.0792*,0.0374*,0.0238*,0.1178*,0.0737*\n4,w/o Rationale-M,0.0929,0.0805,0.0423,0.0311,0.1183,0.0739\n5,w/o CL,0.0926,0.0796,0.0425,0.0313,0.1180,0.0734\n6,w/o Rationale-Aug,0.0931,0.0801,0.0405,0.0278,0.1185,0.0741\n` \\n\\nQuestion: `Report recall of MIND without MAE`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
arxiv--4--4956
|
./tables/csvs/arxiv--4--4956.csv
|
./tables/images/arxiv--4--4956.jpg
|
,0,1,2,3,4,5,6,7,8,9,10
0,Dataset Parsing model Size,__,BoolQ,__,__,OLID,__,__,DailyDialog,__,__
1,__,__,dev,dev-gpt,test,dev,dev-gpt,test,dev,dev-gpt,test
2,Nearest Neighbors,-,34.69,35,34.02,33.67,35,30.26,36.73,37,32.51
3,GPT-Neo,2.7B,73,70,72.54,71,72,67.11,70,66,70.44
4,FLAN-T5-base,250M,71,71,74.18,63,66,66.67,66,63,75.86
5,BERT+Adapter,110M,72.55,76.86,79.33,72.55,76.86,84.25,72.55,77.69,83.94
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
arxiv--4--4956--M0
|
What is the OLID dev value for GPT-Neo?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": true, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "1", "Row Filter Retained Rows Single": true, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "1", "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": "2", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": "", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
{71}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10\n0,Dataset Parsing model Size,__,BoolQ,__,__,OLID,__,__,DailyDialog,__,__\n1,__,__,dev,dev-gpt,test,dev,dev-gpt,test,dev,dev-gpt,test\n2,Nearest Neighbors,-,34.69,35,34.02,33.67,35,30.26,36.73,37,32.51\n3,GPT-Neo,2.7B,73,70,72.54,71,72,67.11,70,66,70.44\n4,FLAN-T5-base,250M,71,71,74.18,63,66,66.67,66,63,75.86\n5,BERT+Adapter,110M,72.55,76.86,79.33,72.55,76.86,84.25,72.55,77.69,83.94\n` \\n\\nQuestion: `What is the OLID dev value for GPT-Neo?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10\n0,Dataset Parsing model Size,__,BoolQ,__,__,OLID,__,__,DailyDialog,__,__\n1,__,__,dev,dev-gpt,test,dev,dev-gpt,test,dev,dev-gpt,test\n2,Nearest Neighbors,-,34.69,35,34.02,33.67,35,30.26,36.73,37,32.51\n3,GPT-Neo,2.7B,73,70,72.54,71,72,67.11,70,66,70.44\n4,FLAN-T5-base,250M,71,71,74.18,63,66,66.67,66,63,75.86\n5,BERT+Adapter,110M,72.55,76.86,79.33,72.55,76.86,84.25,72.55,77.69,83.94\n` \\n\\nQuestion: `What is the OLID dev value for GPT-Neo?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
arxiv--4--4956
|
./tables/csvs/arxiv--4--4956.csv
|
./tables/images/arxiv--4--4956.jpg
|
,0,1,2,3,4,5,6,7,8,9,10
0,Dataset Parsing model Size,__,BoolQ,__,__,OLID,__,__,DailyDialog,__,__
1,__,__,dev,dev-gpt,test,dev,dev-gpt,test,dev,dev-gpt,test
2,Nearest Neighbors,-,34.69,35,34.02,33.67,35,30.26,36.73,37,32.51
3,GPT-Neo,2.7B,73,70,72.54,71,72,67.11,70,66,70.44
4,FLAN-T5-base,250M,71,71,74.18,63,66,66.67,66,63,75.86
5,BERT+Adapter,110M,72.55,76.86,79.33,72.55,76.86,84.25,72.55,77.69,83.94
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
arxiv--4--4956--M1
|
Which models have the top two BoolQ test results?
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "", "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "", "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": "2", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": "", "Rank": true, "Rank Rank On Plain": true, "Rank Rank On Expression": false, "Rank Report Top": "2"}
|
{BERT+Adapter} || {FLAN-T5-base}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10\n0,Dataset Parsing model Size,__,BoolQ,__,__,OLID,__,__,DailyDialog,__,__\n1,__,__,dev,dev-gpt,test,dev,dev-gpt,test,dev,dev-gpt,test\n2,Nearest Neighbors,-,34.69,35,34.02,33.67,35,30.26,36.73,37,32.51\n3,GPT-Neo,2.7B,73,70,72.54,71,72,67.11,70,66,70.44\n4,FLAN-T5-base,250M,71,71,74.18,63,66,66.67,66,63,75.86\n5,BERT+Adapter,110M,72.55,76.86,79.33,72.55,76.86,84.25,72.55,77.69,83.94\n` \\n\\nQuestion: `Which models have the top two BoolQ test results?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10\n0,Dataset Parsing model Size,__,BoolQ,__,__,OLID,__,__,DailyDialog,__,__\n1,__,__,dev,dev-gpt,test,dev,dev-gpt,test,dev,dev-gpt,test\n2,Nearest Neighbors,-,34.69,35,34.02,33.67,35,30.26,36.73,37,32.51\n3,GPT-Neo,2.7B,73,70,72.54,71,72,67.11,70,66,70.44\n4,FLAN-T5-base,250M,71,71,74.18,63,66,66.67,66,63,75.86\n5,BERT+Adapter,110M,72.55,76.86,79.33,72.55,76.86,84.25,72.55,77.69,83.94\n` \\n\\nQuestion: `Which models have the top two BoolQ test results?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
psa--7--843
|
./tables/csvs/psa--7--843.csv
|
./tables/images/psa--7--843.jpg
|
,0,1,2,3,4,5,6,7,8,9,10
0,Field of Training,Nationality,Employment Status,__,__,__,__,__,__,__,__
1,__,__,Grand Total,__,__,Without Jobs,__,__,With Jobs,__,__
2,__,__,Total,Females,Males,Total,Females,Males,Total,Females,Males
3,Administration,Qataris,"2,515","1,696",819,183,145,38,"2,332","1,551",781
4,__,Non-Qataris,"4,238","2,123","2,115",982,470,512,"3,256","1,653","1,603"
5,Computer,Qataris,141,89,52,21,14,7,120,75,45
6,__,Non-Qataris,"1,377",569,808,655,257,398,722,312,410
7,Languages,Qataris,504,213,291,144,72,72,360,141,219
8,__,Non-Qataris,821,394,427,407,217,190,414,177,237
9,Total,Qataris,"3,160","1,998","1,162",348,231,117,"2,812","1,767","1,045"
10,__,Non-Qataris,"6,436","3,086","3,350","2,044",944,"1,100","4,392","2,142","2,250"
11,__,Total,"9,596","5,084","4,512","2,392","1,175","1,217","7,204","3,909","3,295"
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": true, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
psa--7--843--A0
|
What are the top 2 fields of training with the highest number of Qatari trainees and what are those numbers?
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": false, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": false, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": 2, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": true, "Rank Rank On Plain": true, "Rank Rank On Expression": false, "Rank Report Top": 2}
|
{Administration | 2515} || {Languages | 504}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10\n0,Field of Training,Nationality,Employment Status,__,__,__,__,__,__,__,__\n1,__,__,Grand Total,__,__,Without Jobs,__,__,With Jobs,__,__\n2,__,__,Total,Females,Males,Total,Females,Males,Total,Females,Males\n3,Administration,Qataris,\"2,515\",\"1,696\",819,183,145,38,\"2,332\",\"1,551\",781\n4,__,Non-Qataris,\"4,238\",\"2,123\",\"2,115\",982,470,512,\"3,256\",\"1,653\",\"1,603\"\n5,Computer,Qataris,141,89,52,21,14,7,120,75,45\n6,__,Non-Qataris,\"1,377\",569,808,655,257,398,722,312,410\n7,Languages,Qataris,504,213,291,144,72,72,360,141,219\n8,__,Non-Qataris,821,394,427,407,217,190,414,177,237\n9,Total,Qataris,\"3,160\",\"1,998\",\"1,162\",348,231,117,\"2,812\",\"1,767\",\"1,045\"\n10,__,Non-Qataris,\"6,436\",\"3,086\",\"3,350\",\"2,044\",944,\"1,100\",\"4,392\",\"2,142\",\"2,250\"\n11,__,Total,\"9,596\",\"5,084\",\"4,512\",\"2,392\",\"1,175\",\"1,217\",\"7,204\",\"3,909\",\"3,295\"\n` \\n\\nQuestion: `What are the top 2 fields of training with the highest number of Qatari trainees and what are those numbers?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10\n0,Field of Training,Nationality,Employment Status,__,__,__,__,__,__,__,__\n1,__,__,Grand Total,__,__,Without Jobs,__,__,With Jobs,__,__\n2,__,__,Total,Females,Males,Total,Females,Males,Total,Females,Males\n3,Administration,Qataris,\"2,515\",\"1,696\",819,183,145,38,\"2,332\",\"1,551\",781\n4,__,Non-Qataris,\"4,238\",\"2,123\",\"2,115\",982,470,512,\"3,256\",\"1,653\",\"1,603\"\n5,Computer,Qataris,141,89,52,21,14,7,120,75,45\n6,__,Non-Qataris,\"1,377\",569,808,655,257,398,722,312,410\n7,Languages,Qataris,504,213,291,144,72,72,360,141,219\n8,__,Non-Qataris,821,394,427,407,217,190,414,177,237\n9,Total,Qataris,\"3,160\",\"1,998\",\"1,162\",348,231,117,\"2,812\",\"1,767\",\"1,045\"\n10,__,Non-Qataris,\"6,436\",\"3,086\",\"3,350\",\"2,044\",944,\"1,100\",\"4,392\",\"2,142\",\"2,250\"\n11,__,Total,\"9,596\",\"5,084\",\"4,512\",\"2,392\",\"1,175\",\"1,217\",\"7,204\",\"3,909\",\"3,295\"\n` \\n\\nQuestion: `What are the top 2 fields of training with the highest number of Qatari trainees and what are those numbers?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
psa--7--843
|
./tables/csvs/psa--7--843.csv
|
./tables/images/psa--7--843.jpg
|
,0,1,2,3,4,5,6,7,8,9,10
0,Field of Training,Nationality,Employment Status,__,__,__,__,__,__,__,__
1,__,__,Grand Total,__,__,Without Jobs,__,__,With Jobs,__,__
2,__,__,Total,Females,Males,Total,Females,Males,Total,Females,Males
3,Administration,Qataris,"2,515","1,696",819,183,145,38,"2,332","1,551",781
4,__,Non-Qataris,"4,238","2,123","2,115",982,470,512,"3,256","1,653","1,603"
5,Computer,Qataris,141,89,52,21,14,7,120,75,45
6,__,Non-Qataris,"1,377",569,808,655,257,398,722,312,410
7,Languages,Qataris,504,213,291,144,72,72,360,141,219
8,__,Non-Qataris,821,394,427,407,217,190,414,177,237
9,Total,Qataris,"3,160","1,998","1,162",348,231,117,"2,812","1,767","1,045"
10,__,Non-Qataris,"6,436","3,086","3,350","2,044",944,"1,100","4,392","2,142","2,250"
11,__,Total,"9,596","5,084","4,512","2,392","1,175","1,217","7,204","3,909","3,295"
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": true, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
psa--7--843--A5
|
What are the Fields of Training where the number of Qatari trainees without jobs is greater than 200?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": true, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": true, "Row Filter Num Of Conditions": 1, "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": 1, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
none
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10\n0,Field of Training,Nationality,Employment Status,__,__,__,__,__,__,__,__\n1,__,__,Grand Total,__,__,Without Jobs,__,__,With Jobs,__,__\n2,__,__,Total,Females,Males,Total,Females,Males,Total,Females,Males\n3,Administration,Qataris,\"2,515\",\"1,696\",819,183,145,38,\"2,332\",\"1,551\",781\n4,__,Non-Qataris,\"4,238\",\"2,123\",\"2,115\",982,470,512,\"3,256\",\"1,653\",\"1,603\"\n5,Computer,Qataris,141,89,52,21,14,7,120,75,45\n6,__,Non-Qataris,\"1,377\",569,808,655,257,398,722,312,410\n7,Languages,Qataris,504,213,291,144,72,72,360,141,219\n8,__,Non-Qataris,821,394,427,407,217,190,414,177,237\n9,Total,Qataris,\"3,160\",\"1,998\",\"1,162\",348,231,117,\"2,812\",\"1,767\",\"1,045\"\n10,__,Non-Qataris,\"6,436\",\"3,086\",\"3,350\",\"2,044\",944,\"1,100\",\"4,392\",\"2,142\",\"2,250\"\n11,__,Total,\"9,596\",\"5,084\",\"4,512\",\"2,392\",\"1,175\",\"1,217\",\"7,204\",\"3,909\",\"3,295\"\n` \\n\\nQuestion: `What are the Fields of Training where the number of Qatari trainees without jobs is greater than 200?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10\n0,Field of Training,Nationality,Employment Status,__,__,__,__,__,__,__,__\n1,__,__,Grand Total,__,__,Without Jobs,__,__,With Jobs,__,__\n2,__,__,Total,Females,Males,Total,Females,Males,Total,Females,Males\n3,Administration,Qataris,\"2,515\",\"1,696\",819,183,145,38,\"2,332\",\"1,551\",781\n4,__,Non-Qataris,\"4,238\",\"2,123\",\"2,115\",982,470,512,\"3,256\",\"1,653\",\"1,603\"\n5,Computer,Qataris,141,89,52,21,14,7,120,75,45\n6,__,Non-Qataris,\"1,377\",569,808,655,257,398,722,312,410\n7,Languages,Qataris,504,213,291,144,72,72,360,141,219\n8,__,Non-Qataris,821,394,427,407,217,190,414,177,237\n9,Total,Qataris,\"3,160\",\"1,998\",\"1,162\",348,231,117,\"2,812\",\"1,767\",\"1,045\"\n10,__,Non-Qataris,\"6,436\",\"3,086\",\"3,350\",\"2,044\",944,\"1,100\",\"4,392\",\"2,142\",\"2,250\"\n11,__,Total,\"9,596\",\"5,084\",\"4,512\",\"2,392\",\"1,175\",\"1,217\",\"7,204\",\"3,909\",\"3,295\"\n` \\n\\nQuestion: `What are the Fields of Training where the number of Qatari trainees without jobs is greater than 200?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
psa--7--843
|
./tables/csvs/psa--7--843.csv
|
./tables/images/psa--7--843.jpg
|
,0,1,2,3,4,5,6,7,8,9,10
0,Field of Training,Nationality,Employment Status,__,__,__,__,__,__,__,__
1,__,__,Grand Total,__,__,Without Jobs,__,__,With Jobs,__,__
2,__,__,Total,Females,Males,Total,Females,Males,Total,Females,Males
3,Administration,Qataris,"2,515","1,696",819,183,145,38,"2,332","1,551",781
4,__,Non-Qataris,"4,238","2,123","2,115",982,470,512,"3,256","1,653","1,603"
5,Computer,Qataris,141,89,52,21,14,7,120,75,45
6,__,Non-Qataris,"1,377",569,808,655,257,398,722,312,410
7,Languages,Qataris,504,213,291,144,72,72,360,141,219
8,__,Non-Qataris,821,394,427,407,217,190,414,177,237
9,Total,Qataris,"3,160","1,998","1,162",348,231,117,"2,812","1,767","1,045"
10,__,Non-Qataris,"6,436","3,086","3,350","2,044",944,"1,100","4,392","2,142","2,250"
11,__,Total,"9,596","5,084","4,512","2,392","1,175","1,217","7,204","3,909","3,295"
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": true, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
psa--7--843--A2
|
In the field of Computer training, are there more Non-Qatari females without jobs than Qatari females without jobs?
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": false, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": false, "Returned Columns": false, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": false, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": false, "Yes/No": true, "Yes/No Scope Single": false, "Yes/No Scope Multiple": true, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
Yes
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10\n0,Field of Training,Nationality,Employment Status,__,__,__,__,__,__,__,__\n1,__,__,Grand Total,__,__,Without Jobs,__,__,With Jobs,__,__\n2,__,__,Total,Females,Males,Total,Females,Males,Total,Females,Males\n3,Administration,Qataris,\"2,515\",\"1,696\",819,183,145,38,\"2,332\",\"1,551\",781\n4,__,Non-Qataris,\"4,238\",\"2,123\",\"2,115\",982,470,512,\"3,256\",\"1,653\",\"1,603\"\n5,Computer,Qataris,141,89,52,21,14,7,120,75,45\n6,__,Non-Qataris,\"1,377\",569,808,655,257,398,722,312,410\n7,Languages,Qataris,504,213,291,144,72,72,360,141,219\n8,__,Non-Qataris,821,394,427,407,217,190,414,177,237\n9,Total,Qataris,\"3,160\",\"1,998\",\"1,162\",348,231,117,\"2,812\",\"1,767\",\"1,045\"\n10,__,Non-Qataris,\"6,436\",\"3,086\",\"3,350\",\"2,044\",944,\"1,100\",\"4,392\",\"2,142\",\"2,250\"\n11,__,Total,\"9,596\",\"5,084\",\"4,512\",\"2,392\",\"1,175\",\"1,217\",\"7,204\",\"3,909\",\"3,295\"\n` \\n\\nQuestion: `In the field of Computer training, are there more Non-Qatari females without jobs than Qatari females without jobs?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10\n0,Field of Training,Nationality,Employment Status,__,__,__,__,__,__,__,__\n1,__,__,Grand Total,__,__,Without Jobs,__,__,With Jobs,__,__\n2,__,__,Total,Females,Males,Total,Females,Males,Total,Females,Males\n3,Administration,Qataris,\"2,515\",\"1,696\",819,183,145,38,\"2,332\",\"1,551\",781\n4,__,Non-Qataris,\"4,238\",\"2,123\",\"2,115\",982,470,512,\"3,256\",\"1,653\",\"1,603\"\n5,Computer,Qataris,141,89,52,21,14,7,120,75,45\n6,__,Non-Qataris,\"1,377\",569,808,655,257,398,722,312,410\n7,Languages,Qataris,504,213,291,144,72,72,360,141,219\n8,__,Non-Qataris,821,394,427,407,217,190,414,177,237\n9,Total,Qataris,\"3,160\",\"1,998\",\"1,162\",348,231,117,\"2,812\",\"1,767\",\"1,045\"\n10,__,Non-Qataris,\"6,436\",\"3,086\",\"3,350\",\"2,044\",944,\"1,100\",\"4,392\",\"2,142\",\"2,250\"\n11,__,Total,\"9,596\",\"5,084\",\"4,512\",\"2,392\",\"1,175\",\"1,217\",\"7,204\",\"3,909\",\"3,295\"\n` \\n\\nQuestion: `In the field of Computer training, are there more Non-Qatari females without jobs than Qatari females without jobs?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
psa--7--843
|
./tables/csvs/psa--7--843.csv
|
./tables/images/psa--7--843.jpg
|
,0,1,2,3,4,5,6,7,8,9,10
0,Field of Training,Nationality,Employment Status,__,__,__,__,__,__,__,__
1,__,__,Grand Total,__,__,Without Jobs,__,__,With Jobs,__,__
2,__,__,Total,Females,Males,Total,Females,Males,Total,Females,Males
3,Administration,Qataris,"2,515","1,696",819,183,145,38,"2,332","1,551",781
4,__,Non-Qataris,"4,238","2,123","2,115",982,470,512,"3,256","1,653","1,603"
5,Computer,Qataris,141,89,52,21,14,7,120,75,45
6,__,Non-Qataris,"1,377",569,808,655,257,398,722,312,410
7,Languages,Qataris,504,213,291,144,72,72,360,141,219
8,__,Non-Qataris,821,394,427,407,217,190,414,177,237
9,Total,Qataris,"3,160","1,998","1,162",348,231,117,"2,812","1,767","1,045"
10,__,Non-Qataris,"6,436","3,086","3,350","2,044",944,"1,100","4,392","2,142","2,250"
11,__,Total,"9,596","5,084","4,512","2,392","1,175","1,217","7,204","3,909","3,295"
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": true, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
psa--7--843--M1
|
What was the total number of female Non-Qataris without jobs?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": true, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "1", "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": true, "Row Filter Num Of Conditions": "1", "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": "3", "Returned Columns Expression In Table Present": true, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": true, "Aggregation Aggregation On Plain": true, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": true, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": true, "Aggregation Aggregation In Table Present": true, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": "1", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
{944}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10\n0,Field of Training,Nationality,Employment Status,__,__,__,__,__,__,__,__\n1,__,__,Grand Total,__,__,Without Jobs,__,__,With Jobs,__,__\n2,__,__,Total,Females,Males,Total,Females,Males,Total,Females,Males\n3,Administration,Qataris,\"2,515\",\"1,696\",819,183,145,38,\"2,332\",\"1,551\",781\n4,__,Non-Qataris,\"4,238\",\"2,123\",\"2,115\",982,470,512,\"3,256\",\"1,653\",\"1,603\"\n5,Computer,Qataris,141,89,52,21,14,7,120,75,45\n6,__,Non-Qataris,\"1,377\",569,808,655,257,398,722,312,410\n7,Languages,Qataris,504,213,291,144,72,72,360,141,219\n8,__,Non-Qataris,821,394,427,407,217,190,414,177,237\n9,Total,Qataris,\"3,160\",\"1,998\",\"1,162\",348,231,117,\"2,812\",\"1,767\",\"1,045\"\n10,__,Non-Qataris,\"6,436\",\"3,086\",\"3,350\",\"2,044\",944,\"1,100\",\"4,392\",\"2,142\",\"2,250\"\n11,__,Total,\"9,596\",\"5,084\",\"4,512\",\"2,392\",\"1,175\",\"1,217\",\"7,204\",\"3,909\",\"3,295\"\n` \\n\\nQuestion: `What was the total number of female Non-Qataris without jobs?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10\n0,Field of Training,Nationality,Employment Status,__,__,__,__,__,__,__,__\n1,__,__,Grand Total,__,__,Without Jobs,__,__,With Jobs,__,__\n2,__,__,Total,Females,Males,Total,Females,Males,Total,Females,Males\n3,Administration,Qataris,\"2,515\",\"1,696\",819,183,145,38,\"2,332\",\"1,551\",781\n4,__,Non-Qataris,\"4,238\",\"2,123\",\"2,115\",982,470,512,\"3,256\",\"1,653\",\"1,603\"\n5,Computer,Qataris,141,89,52,21,14,7,120,75,45\n6,__,Non-Qataris,\"1,377\",569,808,655,257,398,722,312,410\n7,Languages,Qataris,504,213,291,144,72,72,360,141,219\n8,__,Non-Qataris,821,394,427,407,217,190,414,177,237\n9,Total,Qataris,\"3,160\",\"1,998\",\"1,162\",348,231,117,\"2,812\",\"1,767\",\"1,045\"\n10,__,Non-Qataris,\"6,436\",\"3,086\",\"3,350\",\"2,044\",944,\"1,100\",\"4,392\",\"2,142\",\"2,250\"\n11,__,Total,\"9,596\",\"5,084\",\"4,512\",\"2,392\",\"1,175\",\"1,217\",\"7,204\",\"3,909\",\"3,295\"\n` \\n\\nQuestion: `What was the total number of female Non-Qataris without jobs?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
psa--7--843
|
./tables/csvs/psa--7--843.csv
|
./tables/images/psa--7--843.jpg
|
,0,1,2,3,4,5,6,7,8,9,10
0,Field of Training,Nationality,Employment Status,__,__,__,__,__,__,__,__
1,__,__,Grand Total,__,__,Without Jobs,__,__,With Jobs,__,__
2,__,__,Total,Females,Males,Total,Females,Males,Total,Females,Males
3,Administration,Qataris,"2,515","1,696",819,183,145,38,"2,332","1,551",781
4,__,Non-Qataris,"4,238","2,123","2,115",982,470,512,"3,256","1,653","1,603"
5,Computer,Qataris,141,89,52,21,14,7,120,75,45
6,__,Non-Qataris,"1,377",569,808,655,257,398,722,312,410
7,Languages,Qataris,504,213,291,144,72,72,360,141,219
8,__,Non-Qataris,821,394,427,407,217,190,414,177,237
9,Total,Qataris,"3,160","1,998","1,162",348,231,117,"2,812","1,767","1,045"
10,__,Non-Qataris,"6,436","3,086","3,350","2,044",944,"1,100","4,392","2,142","2,250"
11,__,Total,"9,596","5,084","4,512","2,392","1,175","1,217","7,204","3,909","3,295"
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": true, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
psa--7--843--A3
|
How many Qatari and Non-Qatari trainees were there in the fields of Administration, Computer, and Languages, and how many of them were females?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": false, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": 3, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{2515 | 1696} || {4238 | 2123} || {141 | 89} || {1377 | 569} || {504 | 213} || {821 | 394}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10\n0,Field of Training,Nationality,Employment Status,__,__,__,__,__,__,__,__\n1,__,__,Grand Total,__,__,Without Jobs,__,__,With Jobs,__,__\n2,__,__,Total,Females,Males,Total,Females,Males,Total,Females,Males\n3,Administration,Qataris,\"2,515\",\"1,696\",819,183,145,38,\"2,332\",\"1,551\",781\n4,__,Non-Qataris,\"4,238\",\"2,123\",\"2,115\",982,470,512,\"3,256\",\"1,653\",\"1,603\"\n5,Computer,Qataris,141,89,52,21,14,7,120,75,45\n6,__,Non-Qataris,\"1,377\",569,808,655,257,398,722,312,410\n7,Languages,Qataris,504,213,291,144,72,72,360,141,219\n8,__,Non-Qataris,821,394,427,407,217,190,414,177,237\n9,Total,Qataris,\"3,160\",\"1,998\",\"1,162\",348,231,117,\"2,812\",\"1,767\",\"1,045\"\n10,__,Non-Qataris,\"6,436\",\"3,086\",\"3,350\",\"2,044\",944,\"1,100\",\"4,392\",\"2,142\",\"2,250\"\n11,__,Total,\"9,596\",\"5,084\",\"4,512\",\"2,392\",\"1,175\",\"1,217\",\"7,204\",\"3,909\",\"3,295\"\n` \\n\\nQuestion: `How many Qatari and Non-Qatari trainees were there in the fields of Administration, Computer, and Languages, and how many of them were females?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10\n0,Field of Training,Nationality,Employment Status,__,__,__,__,__,__,__,__\n1,__,__,Grand Total,__,__,Without Jobs,__,__,With Jobs,__,__\n2,__,__,Total,Females,Males,Total,Females,Males,Total,Females,Males\n3,Administration,Qataris,\"2,515\",\"1,696\",819,183,145,38,\"2,332\",\"1,551\",781\n4,__,Non-Qataris,\"4,238\",\"2,123\",\"2,115\",982,470,512,\"3,256\",\"1,653\",\"1,603\"\n5,Computer,Qataris,141,89,52,21,14,7,120,75,45\n6,__,Non-Qataris,\"1,377\",569,808,655,257,398,722,312,410\n7,Languages,Qataris,504,213,291,144,72,72,360,141,219\n8,__,Non-Qataris,821,394,427,407,217,190,414,177,237\n9,Total,Qataris,\"3,160\",\"1,998\",\"1,162\",348,231,117,\"2,812\",\"1,767\",\"1,045\"\n10,__,Non-Qataris,\"6,436\",\"3,086\",\"3,350\",\"2,044\",944,\"1,100\",\"4,392\",\"2,142\",\"2,250\"\n11,__,Total,\"9,596\",\"5,084\",\"4,512\",\"2,392\",\"1,175\",\"1,217\",\"7,204\",\"3,909\",\"3,295\"\n` \\n\\nQuestion: `How many Qatari and Non-Qatari trainees were there in the fields of Administration, Computer, and Languages, and how many of them were females?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
psa--7--843
|
./tables/csvs/psa--7--843.csv
|
./tables/images/psa--7--843.jpg
|
,0,1,2,3,4,5,6,7,8,9,10
0,Field of Training,Nationality,Employment Status,__,__,__,__,__,__,__,__
1,__,__,Grand Total,__,__,Without Jobs,__,__,With Jobs,__,__
2,__,__,Total,Females,Males,Total,Females,Males,Total,Females,Males
3,Administration,Qataris,"2,515","1,696",819,183,145,38,"2,332","1,551",781
4,__,Non-Qataris,"4,238","2,123","2,115",982,470,512,"3,256","1,653","1,603"
5,Computer,Qataris,141,89,52,21,14,7,120,75,45
6,__,Non-Qataris,"1,377",569,808,655,257,398,722,312,410
7,Languages,Qataris,504,213,291,144,72,72,360,141,219
8,__,Non-Qataris,821,394,427,407,217,190,414,177,237
9,Total,Qataris,"3,160","1,998","1,162",348,231,117,"2,812","1,767","1,045"
10,__,Non-Qataris,"6,436","3,086","3,350","2,044",944,"1,100","4,392","2,142","2,250"
11,__,Total,"9,596","5,084","4,512","2,392","1,175","1,217","7,204","3,909","3,295"
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": true, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
psa--7--843--M0
|
What are the top 2 fields of training ranked by the overall total number of people in them across all genders and nationalities and what are those numbers?
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "", "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "", "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": "3", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": "2", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": true, "Aggregation Aggregation On Plain": true, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": true, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": true, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": true, "Aggregation Num Of Aggregations": "1", "Rank": true, "Rank Rank On Plain": false, "Rank Rank On Expression": true, "Rank Report Top": "2"}
|
(Administration | 6753) || (Computer | 1518)
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10\n0,Field of Training,Nationality,Employment Status,__,__,__,__,__,__,__,__\n1,__,__,Grand Total,__,__,Without Jobs,__,__,With Jobs,__,__\n2,__,__,Total,Females,Males,Total,Females,Males,Total,Females,Males\n3,Administration,Qataris,\"2,515\",\"1,696\",819,183,145,38,\"2,332\",\"1,551\",781\n4,__,Non-Qataris,\"4,238\",\"2,123\",\"2,115\",982,470,512,\"3,256\",\"1,653\",\"1,603\"\n5,Computer,Qataris,141,89,52,21,14,7,120,75,45\n6,__,Non-Qataris,\"1,377\",569,808,655,257,398,722,312,410\n7,Languages,Qataris,504,213,291,144,72,72,360,141,219\n8,__,Non-Qataris,821,394,427,407,217,190,414,177,237\n9,Total,Qataris,\"3,160\",\"1,998\",\"1,162\",348,231,117,\"2,812\",\"1,767\",\"1,045\"\n10,__,Non-Qataris,\"6,436\",\"3,086\",\"3,350\",\"2,044\",944,\"1,100\",\"4,392\",\"2,142\",\"2,250\"\n11,__,Total,\"9,596\",\"5,084\",\"4,512\",\"2,392\",\"1,175\",\"1,217\",\"7,204\",\"3,909\",\"3,295\"\n` \\n\\nQuestion: `What are the top 2 fields of training ranked by the overall total number of people in them across all genders and nationalities and what are those numbers?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10\n0,Field of Training,Nationality,Employment Status,__,__,__,__,__,__,__,__\n1,__,__,Grand Total,__,__,Without Jobs,__,__,With Jobs,__,__\n2,__,__,Total,Females,Males,Total,Females,Males,Total,Females,Males\n3,Administration,Qataris,\"2,515\",\"1,696\",819,183,145,38,\"2,332\",\"1,551\",781\n4,__,Non-Qataris,\"4,238\",\"2,123\",\"2,115\",982,470,512,\"3,256\",\"1,653\",\"1,603\"\n5,Computer,Qataris,141,89,52,21,14,7,120,75,45\n6,__,Non-Qataris,\"1,377\",569,808,655,257,398,722,312,410\n7,Languages,Qataris,504,213,291,144,72,72,360,141,219\n8,__,Non-Qataris,821,394,427,407,217,190,414,177,237\n9,Total,Qataris,\"3,160\",\"1,998\",\"1,162\",348,231,117,\"2,812\",\"1,767\",\"1,045\"\n10,__,Non-Qataris,\"6,436\",\"3,086\",\"3,350\",\"2,044\",944,\"1,100\",\"4,392\",\"2,142\",\"2,250\"\n11,__,Total,\"9,596\",\"5,084\",\"4,512\",\"2,392\",\"1,175\",\"1,217\",\"7,204\",\"3,909\",\"3,295\"\n` \\n\\nQuestion: `What are the top 2 fields of training ranked by the overall total number of people in them across all genders and nationalities and what are those numbers?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
psa--7--843
|
./tables/csvs/psa--7--843.csv
|
./tables/images/psa--7--843.jpg
|
,0,1,2,3,4,5,6,7,8,9,10
0,Field of Training,Nationality,Employment Status,__,__,__,__,__,__,__,__
1,__,__,Grand Total,__,__,Without Jobs,__,__,With Jobs,__,__
2,__,__,Total,Females,Males,Total,Females,Males,Total,Females,Males
3,Administration,Qataris,"2,515","1,696",819,183,145,38,"2,332","1,551",781
4,__,Non-Qataris,"4,238","2,123","2,115",982,470,512,"3,256","1,653","1,603"
5,Computer,Qataris,141,89,52,21,14,7,120,75,45
6,__,Non-Qataris,"1,377",569,808,655,257,398,722,312,410
7,Languages,Qataris,504,213,291,144,72,72,360,141,219
8,__,Non-Qataris,821,394,427,407,217,190,414,177,237
9,Total,Qataris,"3,160","1,998","1,162",348,231,117,"2,812","1,767","1,045"
10,__,Non-Qataris,"6,436","3,086","3,350","2,044",944,"1,100","4,392","2,142","2,250"
11,__,Total,"9,596","5,084","4,512","2,392","1,175","1,217","7,204","3,909","3,295"
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": true, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
psa--7--843--A1
|
Among the fields of training with more than 300 Qatari trainees, which field has the maximum number of Qatari females and the minimum number of Qatari males?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": true, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": true, "Row Filter Num Of Conditions": 1, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": 2, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": true, "Aggregation Aggregation On Plain": true, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": true, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": true, "Aggregation Num Of Aggregations": 2, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{Administration} || {Languages}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10\n0,Field of Training,Nationality,Employment Status,__,__,__,__,__,__,__,__\n1,__,__,Grand Total,__,__,Without Jobs,__,__,With Jobs,__,__\n2,__,__,Total,Females,Males,Total,Females,Males,Total,Females,Males\n3,Administration,Qataris,\"2,515\",\"1,696\",819,183,145,38,\"2,332\",\"1,551\",781\n4,__,Non-Qataris,\"4,238\",\"2,123\",\"2,115\",982,470,512,\"3,256\",\"1,653\",\"1,603\"\n5,Computer,Qataris,141,89,52,21,14,7,120,75,45\n6,__,Non-Qataris,\"1,377\",569,808,655,257,398,722,312,410\n7,Languages,Qataris,504,213,291,144,72,72,360,141,219\n8,__,Non-Qataris,821,394,427,407,217,190,414,177,237\n9,Total,Qataris,\"3,160\",\"1,998\",\"1,162\",348,231,117,\"2,812\",\"1,767\",\"1,045\"\n10,__,Non-Qataris,\"6,436\",\"3,086\",\"3,350\",\"2,044\",944,\"1,100\",\"4,392\",\"2,142\",\"2,250\"\n11,__,Total,\"9,596\",\"5,084\",\"4,512\",\"2,392\",\"1,175\",\"1,217\",\"7,204\",\"3,909\",\"3,295\"\n` \\n\\nQuestion: `Among the fields of training with more than 300 Qatari trainees, which field has the maximum number of Qatari females and the minimum number of Qatari males?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10\n0,Field of Training,Nationality,Employment Status,__,__,__,__,__,__,__,__\n1,__,__,Grand Total,__,__,Without Jobs,__,__,With Jobs,__,__\n2,__,__,Total,Females,Males,Total,Females,Males,Total,Females,Males\n3,Administration,Qataris,\"2,515\",\"1,696\",819,183,145,38,\"2,332\",\"1,551\",781\n4,__,Non-Qataris,\"4,238\",\"2,123\",\"2,115\",982,470,512,\"3,256\",\"1,653\",\"1,603\"\n5,Computer,Qataris,141,89,52,21,14,7,120,75,45\n6,__,Non-Qataris,\"1,377\",569,808,655,257,398,722,312,410\n7,Languages,Qataris,504,213,291,144,72,72,360,141,219\n8,__,Non-Qataris,821,394,427,407,217,190,414,177,237\n9,Total,Qataris,\"3,160\",\"1,998\",\"1,162\",348,231,117,\"2,812\",\"1,767\",\"1,045\"\n10,__,Non-Qataris,\"6,436\",\"3,086\",\"3,350\",\"2,044\",944,\"1,100\",\"4,392\",\"2,142\",\"2,250\"\n11,__,Total,\"9,596\",\"5,084\",\"4,512\",\"2,392\",\"1,175\",\"1,217\",\"7,204\",\"3,909\",\"3,295\"\n` \\n\\nQuestion: `Among the fields of training with more than 300 Qatari trainees, which field has the maximum number of Qatari females and the minimum number of Qatari males?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
psa--7--843
|
./tables/csvs/psa--7--843.csv
|
./tables/images/psa--7--843.jpg
|
,0,1,2,3,4,5,6,7,8,9,10
0,Field of Training,Nationality,Employment Status,__,__,__,__,__,__,__,__
1,__,__,Grand Total,__,__,Without Jobs,__,__,With Jobs,__,__
2,__,__,Total,Females,Males,Total,Females,Males,Total,Females,Males
3,Administration,Qataris,"2,515","1,696",819,183,145,38,"2,332","1,551",781
4,__,Non-Qataris,"4,238","2,123","2,115",982,470,512,"3,256","1,653","1,603"
5,Computer,Qataris,141,89,52,21,14,7,120,75,45
6,__,Non-Qataris,"1,377",569,808,655,257,398,722,312,410
7,Languages,Qataris,504,213,291,144,72,72,360,141,219
8,__,Non-Qataris,821,394,427,407,217,190,414,177,237
9,Total,Qataris,"3,160","1,998","1,162",348,231,117,"2,812","1,767","1,045"
10,__,Non-Qataris,"6,436","3,086","3,350","2,044",944,"1,100","4,392","2,142","2,250"
11,__,Total,"9,596","5,084","4,512","2,392","1,175","1,217","7,204","3,909","3,295"
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": true, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
psa--7--843--A4
|
How many Qatari trainees were there in the fields of Administration and Computer?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": true, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": true, "Row Filter Num Of Conditions": 1, "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": 1, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{2,515} || {141}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10\n0,Field of Training,Nationality,Employment Status,__,__,__,__,__,__,__,__\n1,__,__,Grand Total,__,__,Without Jobs,__,__,With Jobs,__,__\n2,__,__,Total,Females,Males,Total,Females,Males,Total,Females,Males\n3,Administration,Qataris,\"2,515\",\"1,696\",819,183,145,38,\"2,332\",\"1,551\",781\n4,__,Non-Qataris,\"4,238\",\"2,123\",\"2,115\",982,470,512,\"3,256\",\"1,653\",\"1,603\"\n5,Computer,Qataris,141,89,52,21,14,7,120,75,45\n6,__,Non-Qataris,\"1,377\",569,808,655,257,398,722,312,410\n7,Languages,Qataris,504,213,291,144,72,72,360,141,219\n8,__,Non-Qataris,821,394,427,407,217,190,414,177,237\n9,Total,Qataris,\"3,160\",\"1,998\",\"1,162\",348,231,117,\"2,812\",\"1,767\",\"1,045\"\n10,__,Non-Qataris,\"6,436\",\"3,086\",\"3,350\",\"2,044\",944,\"1,100\",\"4,392\",\"2,142\",\"2,250\"\n11,__,Total,\"9,596\",\"5,084\",\"4,512\",\"2,392\",\"1,175\",\"1,217\",\"7,204\",\"3,909\",\"3,295\"\n` \\n\\nQuestion: `How many Qatari trainees were there in the fields of Administration and Computer?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10\n0,Field of Training,Nationality,Employment Status,__,__,__,__,__,__,__,__\n1,__,__,Grand Total,__,__,Without Jobs,__,__,With Jobs,__,__\n2,__,__,Total,Females,Males,Total,Females,Males,Total,Females,Males\n3,Administration,Qataris,\"2,515\",\"1,696\",819,183,145,38,\"2,332\",\"1,551\",781\n4,__,Non-Qataris,\"4,238\",\"2,123\",\"2,115\",982,470,512,\"3,256\",\"1,653\",\"1,603\"\n5,Computer,Qataris,141,89,52,21,14,7,120,75,45\n6,__,Non-Qataris,\"1,377\",569,808,655,257,398,722,312,410\n7,Languages,Qataris,504,213,291,144,72,72,360,141,219\n8,__,Non-Qataris,821,394,427,407,217,190,414,177,237\n9,Total,Qataris,\"3,160\",\"1,998\",\"1,162\",348,231,117,\"2,812\",\"1,767\",\"1,045\"\n10,__,Non-Qataris,\"6,436\",\"3,086\",\"3,350\",\"2,044\",944,\"1,100\",\"4,392\",\"2,142\",\"2,250\"\n11,__,Total,\"9,596\",\"5,084\",\"4,512\",\"2,392\",\"1,175\",\"1,217\",\"7,204\",\"3,909\",\"3,295\"\n` \\n\\nQuestion: `How many Qatari trainees were there in the fields of Administration and Computer?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
psa--7--464
|
./tables/csvs/psa--7--464.csv
|
./tables/images/psa--7--464.jpg
|
,0,1,2,3,4,5,6,7,8
0,Sector Economic Activity,Total,Domestic,Non profit,/ / Diplomatic/Inte rnational/Regio nal,Private,Mixed,/ Government Company / Corporation,Government Department
1,"Agriculture, forestry and fishing","18,162",0,0,0,"17,916",110,55,81
2,Mining and quarrying,"83,111",0,0,0,"58,431","9,699","14,981",0
3,Manufacturing,"102,806",0,0,0,"94,387","8,419",0,0
4,"Electricity, gas, steam and air conditioning supply","7,665",0,0,0,0,"4,398","3,267",0
5,"Water supply; sewerage, waste management and remediation activities","1,296",0,0,0,509,0,0,787
6,Construction,"499,264",0,0,0,"499,264",0,0,0
7,Wholesale and retail trade; repair of motor vehicles and motorcycles,"169,359",0,0,0,"166,305","3,054",0,0
8,Transportation and storage,"38,275",0,0,0,"22,413","6,242","8,544","1,076"
9,Accommodation and food service activities,"32,205",0,0,0,"29,015",115,"3,075",0
10,Information and communication,"11,458",0,0,0,"3,561","3,008","2,993","1,896"
11,Financial and insurance activities,"11,458",0,0,0,"6,629","3,925",769,135
12,Real estate activities,"9,334",0,0,0,"7,447",833,"1,054",0
13,"Professional, scientific and technical activities","25,533",0,0,0,"24,809",724,0,0
14,Administrative and support service activities,"41,447",0,0,0,"38,957",18,"2,472",0
15,Public administration and defence; compulsory social security,"81,540",0,0,0,0,0,0,"81,540"
16,Education,"30,409",0,56,0,"12,567",0,0,"17,786"
17,Human health and social work activities,"23,510",0,123,0,"5,669",0,"12,615","5,103"
18,"Arts, entertainment and recreation","7,764",0,399,0,"3,917",0,271,"3,177"
19,Other service activities,"5,013",0,317,0,"4,625",0,0,71
20,Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use,"139,904","139,904",0,0,0,0,0,0
21,Activities of extraterritorial organizations and bodies,"1,680",0,0,"1,680",0,0,0,0
22,Total,"1,341,193","139,904",895,"1,680","996,421","40,545","50,096","111,652"
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
psa--7--464--A5
|
What are the Economic Activities where the total number of economically active population is greater than 50,000?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": true, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": true, "Row Filter Num Of Conditions": 1, "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": 1, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{Mining and quarrying} || {Manufacturing} || {Construction} || {Wholesale and retail trade; repair of motor vehicles and motorcycles} || {Public administration and defence; compulsory social security} || {Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8\n0,Sector Economic Activity,Total,Domestic,Non profit,/ / Diplomatic/Inte rnational/Regio nal,Private,Mixed,/ Government Company / Corporation,Government Department\n1,\"Agriculture, forestry and fishing\",\"18,162\",0,0,0,\"17,916\",110,55,81\n2,Mining and quarrying,\"83,111\",0,0,0,\"58,431\",\"9,699\",\"14,981\",0\n3,Manufacturing,\"102,806\",0,0,0,\"94,387\",\"8,419\",0,0\n4,\"Electricity, gas, steam and air conditioning supply\",\"7,665\",0,0,0,0,\"4,398\",\"3,267\",0\n5,\"Water supply; sewerage, waste management and remediation activities\",\"1,296\",0,0,0,509,0,0,787\n6,Construction,\"499,264\",0,0,0,\"499,264\",0,0,0\n7,Wholesale and retail trade; repair of motor vehicles and motorcycles,\"169,359\",0,0,0,\"166,305\",\"3,054\",0,0\n8,Transportation and storage,\"38,275\",0,0,0,\"22,413\",\"6,242\",\"8,544\",\"1,076\"\n9,Accommodation and food service activities,\"32,205\",0,0,0,\"29,015\",115,\"3,075\",0\n10,Information and communication,\"11,458\",0,0,0,\"3,561\",\"3,008\",\"2,993\",\"1,896\"\n11,Financial and insurance activities,\"11,458\",0,0,0,\"6,629\",\"3,925\",769,135\n12,Real estate activities,\"9,334\",0,0,0,\"7,447\",833,\"1,054\",0\n13,\"Professional, scientific and technical activities\",\"25,533\",0,0,0,\"24,809\",724,0,0\n14,Administrative and support service activities,\"41,447\",0,0,0,\"38,957\",18,\"2,472\",0\n15,Public administration and defence; compulsory social security,\"81,540\",0,0,0,0,0,0,\"81,540\"\n16,Education,\"30,409\",0,56,0,\"12,567\",0,0,\"17,786\"\n17,Human health and social work activities,\"23,510\",0,123,0,\"5,669\",0,\"12,615\",\"5,103\"\n18,\"Arts, entertainment and recreation\",\"7,764\",0,399,0,\"3,917\",0,271,\"3,177\"\n19,Other service activities,\"5,013\",0,317,0,\"4,625\",0,0,71\n20,Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use,\"139,904\",\"139,904\",0,0,0,0,0,0\n21,Activities of extraterritorial organizations and bodies,\"1,680\",0,0,\"1,680\",0,0,0,0\n22,Total,\"1,341,193\",\"139,904\",895,\"1,680\",\"996,421\",\"40,545\",\"50,096\",\"111,652\"\n` \\n\\nQuestion: `What are the Economic Activities where the total number of economically active population is greater than 50,000?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8\n0,Sector Economic Activity,Total,Domestic,Non profit,/ / Diplomatic/Inte rnational/Regio nal,Private,Mixed,/ Government Company / Corporation,Government Department\n1,\"Agriculture, forestry and fishing\",\"18,162\",0,0,0,\"17,916\",110,55,81\n2,Mining and quarrying,\"83,111\",0,0,0,\"58,431\",\"9,699\",\"14,981\",0\n3,Manufacturing,\"102,806\",0,0,0,\"94,387\",\"8,419\",0,0\n4,\"Electricity, gas, steam and air conditioning supply\",\"7,665\",0,0,0,0,\"4,398\",\"3,267\",0\n5,\"Water supply; sewerage, waste management and remediation activities\",\"1,296\",0,0,0,509,0,0,787\n6,Construction,\"499,264\",0,0,0,\"499,264\",0,0,0\n7,Wholesale and retail trade; repair of motor vehicles and motorcycles,\"169,359\",0,0,0,\"166,305\",\"3,054\",0,0\n8,Transportation and storage,\"38,275\",0,0,0,\"22,413\",\"6,242\",\"8,544\",\"1,076\"\n9,Accommodation and food service activities,\"32,205\",0,0,0,\"29,015\",115,\"3,075\",0\n10,Information and communication,\"11,458\",0,0,0,\"3,561\",\"3,008\",\"2,993\",\"1,896\"\n11,Financial and insurance activities,\"11,458\",0,0,0,\"6,629\",\"3,925\",769,135\n12,Real estate activities,\"9,334\",0,0,0,\"7,447\",833,\"1,054\",0\n13,\"Professional, scientific and technical activities\",\"25,533\",0,0,0,\"24,809\",724,0,0\n14,Administrative and support service activities,\"41,447\",0,0,0,\"38,957\",18,\"2,472\",0\n15,Public administration and defence; compulsory social security,\"81,540\",0,0,0,0,0,0,\"81,540\"\n16,Education,\"30,409\",0,56,0,\"12,567\",0,0,\"17,786\"\n17,Human health and social work activities,\"23,510\",0,123,0,\"5,669\",0,\"12,615\",\"5,103\"\n18,\"Arts, entertainment and recreation\",\"7,764\",0,399,0,\"3,917\",0,271,\"3,177\"\n19,Other service activities,\"5,013\",0,317,0,\"4,625\",0,0,71\n20,Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use,\"139,904\",\"139,904\",0,0,0,0,0,0\n21,Activities of extraterritorial organizations and bodies,\"1,680\",0,0,\"1,680\",0,0,0,0\n22,Total,\"1,341,193\",\"139,904\",895,\"1,680\",\"996,421\",\"40,545\",\"50,096\",\"111,652\"\n` \\n\\nQuestion: `What are the Economic Activities where the total number of economically active population is greater than 50,000?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
psa--7--464
|
./tables/csvs/psa--7--464.csv
|
./tables/images/psa--7--464.jpg
|
,0,1,2,3,4,5,6,7,8
0,Sector Economic Activity,Total,Domestic,Non profit,/ / Diplomatic/Inte rnational/Regio nal,Private,Mixed,/ Government Company / Corporation,Government Department
1,"Agriculture, forestry and fishing","18,162",0,0,0,"17,916",110,55,81
2,Mining and quarrying,"83,111",0,0,0,"58,431","9,699","14,981",0
3,Manufacturing,"102,806",0,0,0,"94,387","8,419",0,0
4,"Electricity, gas, steam and air conditioning supply","7,665",0,0,0,0,"4,398","3,267",0
5,"Water supply; sewerage, waste management and remediation activities","1,296",0,0,0,509,0,0,787
6,Construction,"499,264",0,0,0,"499,264",0,0,0
7,Wholesale and retail trade; repair of motor vehicles and motorcycles,"169,359",0,0,0,"166,305","3,054",0,0
8,Transportation and storage,"38,275",0,0,0,"22,413","6,242","8,544","1,076"
9,Accommodation and food service activities,"32,205",0,0,0,"29,015",115,"3,075",0
10,Information and communication,"11,458",0,0,0,"3,561","3,008","2,993","1,896"
11,Financial and insurance activities,"11,458",0,0,0,"6,629","3,925",769,135
12,Real estate activities,"9,334",0,0,0,"7,447",833,"1,054",0
13,"Professional, scientific and technical activities","25,533",0,0,0,"24,809",724,0,0
14,Administrative and support service activities,"41,447",0,0,0,"38,957",18,"2,472",0
15,Public administration and defence; compulsory social security,"81,540",0,0,0,0,0,0,"81,540"
16,Education,"30,409",0,56,0,"12,567",0,0,"17,786"
17,Human health and social work activities,"23,510",0,123,0,"5,669",0,"12,615","5,103"
18,"Arts, entertainment and recreation","7,764",0,399,0,"3,917",0,271,"3,177"
19,Other service activities,"5,013",0,317,0,"4,625",0,0,71
20,Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use,"139,904","139,904",0,0,0,0,0,0
21,Activities of extraterritorial organizations and bodies,"1,680",0,0,"1,680",0,0,0,0
22,Total,"1,341,193","139,904",895,"1,680","996,421","40,545","50,096","111,652"
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
psa--7--464--M0
|
Name all the economic activities that had more than 0 workers in the domestic sector?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": true, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "1", "Row Filter Retained Rows Single": true, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "1", "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": "1", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": "", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
{Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8\n0,Sector Economic Activity,Total,Domestic,Non profit,/ / Diplomatic/Inte rnational/Regio nal,Private,Mixed,/ Government Company / Corporation,Government Department\n1,\"Agriculture, forestry and fishing\",\"18,162\",0,0,0,\"17,916\",110,55,81\n2,Mining and quarrying,\"83,111\",0,0,0,\"58,431\",\"9,699\",\"14,981\",0\n3,Manufacturing,\"102,806\",0,0,0,\"94,387\",\"8,419\",0,0\n4,\"Electricity, gas, steam and air conditioning supply\",\"7,665\",0,0,0,0,\"4,398\",\"3,267\",0\n5,\"Water supply; sewerage, waste management and remediation activities\",\"1,296\",0,0,0,509,0,0,787\n6,Construction,\"499,264\",0,0,0,\"499,264\",0,0,0\n7,Wholesale and retail trade; repair of motor vehicles and motorcycles,\"169,359\",0,0,0,\"166,305\",\"3,054\",0,0\n8,Transportation and storage,\"38,275\",0,0,0,\"22,413\",\"6,242\",\"8,544\",\"1,076\"\n9,Accommodation and food service activities,\"32,205\",0,0,0,\"29,015\",115,\"3,075\",0\n10,Information and communication,\"11,458\",0,0,0,\"3,561\",\"3,008\",\"2,993\",\"1,896\"\n11,Financial and insurance activities,\"11,458\",0,0,0,\"6,629\",\"3,925\",769,135\n12,Real estate activities,\"9,334\",0,0,0,\"7,447\",833,\"1,054\",0\n13,\"Professional, scientific and technical activities\",\"25,533\",0,0,0,\"24,809\",724,0,0\n14,Administrative and support service activities,\"41,447\",0,0,0,\"38,957\",18,\"2,472\",0\n15,Public administration and defence; compulsory social security,\"81,540\",0,0,0,0,0,0,\"81,540\"\n16,Education,\"30,409\",0,56,0,\"12,567\",0,0,\"17,786\"\n17,Human health and social work activities,\"23,510\",0,123,0,\"5,669\",0,\"12,615\",\"5,103\"\n18,\"Arts, entertainment and recreation\",\"7,764\",0,399,0,\"3,917\",0,271,\"3,177\"\n19,Other service activities,\"5,013\",0,317,0,\"4,625\",0,0,71\n20,Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use,\"139,904\",\"139,904\",0,0,0,0,0,0\n21,Activities of extraterritorial organizations and bodies,\"1,680\",0,0,\"1,680\",0,0,0,0\n22,Total,\"1,341,193\",\"139,904\",895,\"1,680\",\"996,421\",\"40,545\",\"50,096\",\"111,652\"\n` \\n\\nQuestion: `Name all the economic activities that had more than 0 workers in the domestic sector?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8\n0,Sector Economic Activity,Total,Domestic,Non profit,/ / Diplomatic/Inte rnational/Regio nal,Private,Mixed,/ Government Company / Corporation,Government Department\n1,\"Agriculture, forestry and fishing\",\"18,162\",0,0,0,\"17,916\",110,55,81\n2,Mining and quarrying,\"83,111\",0,0,0,\"58,431\",\"9,699\",\"14,981\",0\n3,Manufacturing,\"102,806\",0,0,0,\"94,387\",\"8,419\",0,0\n4,\"Electricity, gas, steam and air conditioning supply\",\"7,665\",0,0,0,0,\"4,398\",\"3,267\",0\n5,\"Water supply; sewerage, waste management and remediation activities\",\"1,296\",0,0,0,509,0,0,787\n6,Construction,\"499,264\",0,0,0,\"499,264\",0,0,0\n7,Wholesale and retail trade; repair of motor vehicles and motorcycles,\"169,359\",0,0,0,\"166,305\",\"3,054\",0,0\n8,Transportation and storage,\"38,275\",0,0,0,\"22,413\",\"6,242\",\"8,544\",\"1,076\"\n9,Accommodation and food service activities,\"32,205\",0,0,0,\"29,015\",115,\"3,075\",0\n10,Information and communication,\"11,458\",0,0,0,\"3,561\",\"3,008\",\"2,993\",\"1,896\"\n11,Financial and insurance activities,\"11,458\",0,0,0,\"6,629\",\"3,925\",769,135\n12,Real estate activities,\"9,334\",0,0,0,\"7,447\",833,\"1,054\",0\n13,\"Professional, scientific and technical activities\",\"25,533\",0,0,0,\"24,809\",724,0,0\n14,Administrative and support service activities,\"41,447\",0,0,0,\"38,957\",18,\"2,472\",0\n15,Public administration and defence; compulsory social security,\"81,540\",0,0,0,0,0,0,\"81,540\"\n16,Education,\"30,409\",0,56,0,\"12,567\",0,0,\"17,786\"\n17,Human health and social work activities,\"23,510\",0,123,0,\"5,669\",0,\"12,615\",\"5,103\"\n18,\"Arts, entertainment and recreation\",\"7,764\",0,399,0,\"3,917\",0,271,\"3,177\"\n19,Other service activities,\"5,013\",0,317,0,\"4,625\",0,0,71\n20,Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use,\"139,904\",\"139,904\",0,0,0,0,0,0\n21,Activities of extraterritorial organizations and bodies,\"1,680\",0,0,\"1,680\",0,0,0,0\n22,Total,\"1,341,193\",\"139,904\",895,\"1,680\",\"996,421\",\"40,545\",\"50,096\",\"111,652\"\n` \\n\\nQuestion: `Name all the economic activities that had more than 0 workers in the domestic sector?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
psa--7--464
|
./tables/csvs/psa--7--464.csv
|
./tables/images/psa--7--464.jpg
|
,0,1,2,3,4,5,6,7,8
0,Sector Economic Activity,Total,Domestic,Non profit,/ / Diplomatic/Inte rnational/Regio nal,Private,Mixed,/ Government Company / Corporation,Government Department
1,"Agriculture, forestry and fishing","18,162",0,0,0,"17,916",110,55,81
2,Mining and quarrying,"83,111",0,0,0,"58,431","9,699","14,981",0
3,Manufacturing,"102,806",0,0,0,"94,387","8,419",0,0
4,"Electricity, gas, steam and air conditioning supply","7,665",0,0,0,0,"4,398","3,267",0
5,"Water supply; sewerage, waste management and remediation activities","1,296",0,0,0,509,0,0,787
6,Construction,"499,264",0,0,0,"499,264",0,0,0
7,Wholesale and retail trade; repair of motor vehicles and motorcycles,"169,359",0,0,0,"166,305","3,054",0,0
8,Transportation and storage,"38,275",0,0,0,"22,413","6,242","8,544","1,076"
9,Accommodation and food service activities,"32,205",0,0,0,"29,015",115,"3,075",0
10,Information and communication,"11,458",0,0,0,"3,561","3,008","2,993","1,896"
11,Financial and insurance activities,"11,458",0,0,0,"6,629","3,925",769,135
12,Real estate activities,"9,334",0,0,0,"7,447",833,"1,054",0
13,"Professional, scientific and technical activities","25,533",0,0,0,"24,809",724,0,0
14,Administrative and support service activities,"41,447",0,0,0,"38,957",18,"2,472",0
15,Public administration and defence; compulsory social security,"81,540",0,0,0,0,0,0,"81,540"
16,Education,"30,409",0,56,0,"12,567",0,0,"17,786"
17,Human health and social work activities,"23,510",0,123,0,"5,669",0,"12,615","5,103"
18,"Arts, entertainment and recreation","7,764",0,399,0,"3,917",0,271,"3,177"
19,Other service activities,"5,013",0,317,0,"4,625",0,0,71
20,Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use,"139,904","139,904",0,0,0,0,0,0
21,Activities of extraterritorial organizations and bodies,"1,680",0,0,"1,680",0,0,0,0
22,Total,"1,341,193","139,904",895,"1,680","996,421","40,545","50,096","111,652"
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
psa--7--464--A1
|
What is the difference between the total number of people in 'Agriculture, forestry and fishing' and 'Mining and quarrying' sectors?
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": false, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": false, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": 1, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{-64949}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8\n0,Sector Economic Activity,Total,Domestic,Non profit,/ / Diplomatic/Inte rnational/Regio nal,Private,Mixed,/ Government Company / Corporation,Government Department\n1,\"Agriculture, forestry and fishing\",\"18,162\",0,0,0,\"17,916\",110,55,81\n2,Mining and quarrying,\"83,111\",0,0,0,\"58,431\",\"9,699\",\"14,981\",0\n3,Manufacturing,\"102,806\",0,0,0,\"94,387\",\"8,419\",0,0\n4,\"Electricity, gas, steam and air conditioning supply\",\"7,665\",0,0,0,0,\"4,398\",\"3,267\",0\n5,\"Water supply; sewerage, waste management and remediation activities\",\"1,296\",0,0,0,509,0,0,787\n6,Construction,\"499,264\",0,0,0,\"499,264\",0,0,0\n7,Wholesale and retail trade; repair of motor vehicles and motorcycles,\"169,359\",0,0,0,\"166,305\",\"3,054\",0,0\n8,Transportation and storage,\"38,275\",0,0,0,\"22,413\",\"6,242\",\"8,544\",\"1,076\"\n9,Accommodation and food service activities,\"32,205\",0,0,0,\"29,015\",115,\"3,075\",0\n10,Information and communication,\"11,458\",0,0,0,\"3,561\",\"3,008\",\"2,993\",\"1,896\"\n11,Financial and insurance activities,\"11,458\",0,0,0,\"6,629\",\"3,925\",769,135\n12,Real estate activities,\"9,334\",0,0,0,\"7,447\",833,\"1,054\",0\n13,\"Professional, scientific and technical activities\",\"25,533\",0,0,0,\"24,809\",724,0,0\n14,Administrative and support service activities,\"41,447\",0,0,0,\"38,957\",18,\"2,472\",0\n15,Public administration and defence; compulsory social security,\"81,540\",0,0,0,0,0,0,\"81,540\"\n16,Education,\"30,409\",0,56,0,\"12,567\",0,0,\"17,786\"\n17,Human health and social work activities,\"23,510\",0,123,0,\"5,669\",0,\"12,615\",\"5,103\"\n18,\"Arts, entertainment and recreation\",\"7,764\",0,399,0,\"3,917\",0,271,\"3,177\"\n19,Other service activities,\"5,013\",0,317,0,\"4,625\",0,0,71\n20,Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use,\"139,904\",\"139,904\",0,0,0,0,0,0\n21,Activities of extraterritorial organizations and bodies,\"1,680\",0,0,\"1,680\",0,0,0,0\n22,Total,\"1,341,193\",\"139,904\",895,\"1,680\",\"996,421\",\"40,545\",\"50,096\",\"111,652\"\n` \\n\\nQuestion: `What is the difference between the total number of people in 'Agriculture, forestry and fishing' and 'Mining and quarrying' sectors?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8\n0,Sector Economic Activity,Total,Domestic,Non profit,/ / Diplomatic/Inte rnational/Regio nal,Private,Mixed,/ Government Company / Corporation,Government Department\n1,\"Agriculture, forestry and fishing\",\"18,162\",0,0,0,\"17,916\",110,55,81\n2,Mining and quarrying,\"83,111\",0,0,0,\"58,431\",\"9,699\",\"14,981\",0\n3,Manufacturing,\"102,806\",0,0,0,\"94,387\",\"8,419\",0,0\n4,\"Electricity, gas, steam and air conditioning supply\",\"7,665\",0,0,0,0,\"4,398\",\"3,267\",0\n5,\"Water supply; sewerage, waste management and remediation activities\",\"1,296\",0,0,0,509,0,0,787\n6,Construction,\"499,264\",0,0,0,\"499,264\",0,0,0\n7,Wholesale and retail trade; repair of motor vehicles and motorcycles,\"169,359\",0,0,0,\"166,305\",\"3,054\",0,0\n8,Transportation and storage,\"38,275\",0,0,0,\"22,413\",\"6,242\",\"8,544\",\"1,076\"\n9,Accommodation and food service activities,\"32,205\",0,0,0,\"29,015\",115,\"3,075\",0\n10,Information and communication,\"11,458\",0,0,0,\"3,561\",\"3,008\",\"2,993\",\"1,896\"\n11,Financial and insurance activities,\"11,458\",0,0,0,\"6,629\",\"3,925\",769,135\n12,Real estate activities,\"9,334\",0,0,0,\"7,447\",833,\"1,054\",0\n13,\"Professional, scientific and technical activities\",\"25,533\",0,0,0,\"24,809\",724,0,0\n14,Administrative and support service activities,\"41,447\",0,0,0,\"38,957\",18,\"2,472\",0\n15,Public administration and defence; compulsory social security,\"81,540\",0,0,0,0,0,0,\"81,540\"\n16,Education,\"30,409\",0,56,0,\"12,567\",0,0,\"17,786\"\n17,Human health and social work activities,\"23,510\",0,123,0,\"5,669\",0,\"12,615\",\"5,103\"\n18,\"Arts, entertainment and recreation\",\"7,764\",0,399,0,\"3,917\",0,271,\"3,177\"\n19,Other service activities,\"5,013\",0,317,0,\"4,625\",0,0,71\n20,Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use,\"139,904\",\"139,904\",0,0,0,0,0,0\n21,Activities of extraterritorial organizations and bodies,\"1,680\",0,0,\"1,680\",0,0,0,0\n22,Total,\"1,341,193\",\"139,904\",895,\"1,680\",\"996,421\",\"40,545\",\"50,096\",\"111,652\"\n` \\n\\nQuestion: `What is the difference between the total number of people in 'Agriculture, forestry and fishing' and 'Mining and quarrying' sectors?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
psa--7--464
|
./tables/csvs/psa--7--464.csv
|
./tables/images/psa--7--464.jpg
|
,0,1,2,3,4,5,6,7,8
0,Sector Economic Activity,Total,Domestic,Non profit,/ / Diplomatic/Inte rnational/Regio nal,Private,Mixed,/ Government Company / Corporation,Government Department
1,"Agriculture, forestry and fishing","18,162",0,0,0,"17,916",110,55,81
2,Mining and quarrying,"83,111",0,0,0,"58,431","9,699","14,981",0
3,Manufacturing,"102,806",0,0,0,"94,387","8,419",0,0
4,"Electricity, gas, steam and air conditioning supply","7,665",0,0,0,0,"4,398","3,267",0
5,"Water supply; sewerage, waste management and remediation activities","1,296",0,0,0,509,0,0,787
6,Construction,"499,264",0,0,0,"499,264",0,0,0
7,Wholesale and retail trade; repair of motor vehicles and motorcycles,"169,359",0,0,0,"166,305","3,054",0,0
8,Transportation and storage,"38,275",0,0,0,"22,413","6,242","8,544","1,076"
9,Accommodation and food service activities,"32,205",0,0,0,"29,015",115,"3,075",0
10,Information and communication,"11,458",0,0,0,"3,561","3,008","2,993","1,896"
11,Financial and insurance activities,"11,458",0,0,0,"6,629","3,925",769,135
12,Real estate activities,"9,334",0,0,0,"7,447",833,"1,054",0
13,"Professional, scientific and technical activities","25,533",0,0,0,"24,809",724,0,0
14,Administrative and support service activities,"41,447",0,0,0,"38,957",18,"2,472",0
15,Public administration and defence; compulsory social security,"81,540",0,0,0,0,0,0,"81,540"
16,Education,"30,409",0,56,0,"12,567",0,0,"17,786"
17,Human health and social work activities,"23,510",0,123,0,"5,669",0,"12,615","5,103"
18,"Arts, entertainment and recreation","7,764",0,399,0,"3,917",0,271,"3,177"
19,Other service activities,"5,013",0,317,0,"4,625",0,0,71
20,Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use,"139,904","139,904",0,0,0,0,0,0
21,Activities of extraterritorial organizations and bodies,"1,680",0,0,"1,680",0,0,0,0
22,Total,"1,341,193","139,904",895,"1,680","996,421","40,545","50,096","111,652"
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
psa--7--464--A2
|
What were the total number of people employed in 'Manufacturing' and 'Construction' sectors in the 'Private' and 'Government Company/Corporation' categories in 2012?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": false, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": 2, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{593651}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8\n0,Sector Economic Activity,Total,Domestic,Non profit,/ / Diplomatic/Inte rnational/Regio nal,Private,Mixed,/ Government Company / Corporation,Government Department\n1,\"Agriculture, forestry and fishing\",\"18,162\",0,0,0,\"17,916\",110,55,81\n2,Mining and quarrying,\"83,111\",0,0,0,\"58,431\",\"9,699\",\"14,981\",0\n3,Manufacturing,\"102,806\",0,0,0,\"94,387\",\"8,419\",0,0\n4,\"Electricity, gas, steam and air conditioning supply\",\"7,665\",0,0,0,0,\"4,398\",\"3,267\",0\n5,\"Water supply; sewerage, waste management and remediation activities\",\"1,296\",0,0,0,509,0,0,787\n6,Construction,\"499,264\",0,0,0,\"499,264\",0,0,0\n7,Wholesale and retail trade; repair of motor vehicles and motorcycles,\"169,359\",0,0,0,\"166,305\",\"3,054\",0,0\n8,Transportation and storage,\"38,275\",0,0,0,\"22,413\",\"6,242\",\"8,544\",\"1,076\"\n9,Accommodation and food service activities,\"32,205\",0,0,0,\"29,015\",115,\"3,075\",0\n10,Information and communication,\"11,458\",0,0,0,\"3,561\",\"3,008\",\"2,993\",\"1,896\"\n11,Financial and insurance activities,\"11,458\",0,0,0,\"6,629\",\"3,925\",769,135\n12,Real estate activities,\"9,334\",0,0,0,\"7,447\",833,\"1,054\",0\n13,\"Professional, scientific and technical activities\",\"25,533\",0,0,0,\"24,809\",724,0,0\n14,Administrative and support service activities,\"41,447\",0,0,0,\"38,957\",18,\"2,472\",0\n15,Public administration and defence; compulsory social security,\"81,540\",0,0,0,0,0,0,\"81,540\"\n16,Education,\"30,409\",0,56,0,\"12,567\",0,0,\"17,786\"\n17,Human health and social work activities,\"23,510\",0,123,0,\"5,669\",0,\"12,615\",\"5,103\"\n18,\"Arts, entertainment and recreation\",\"7,764\",0,399,0,\"3,917\",0,271,\"3,177\"\n19,Other service activities,\"5,013\",0,317,0,\"4,625\",0,0,71\n20,Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use,\"139,904\",\"139,904\",0,0,0,0,0,0\n21,Activities of extraterritorial organizations and bodies,\"1,680\",0,0,\"1,680\",0,0,0,0\n22,Total,\"1,341,193\",\"139,904\",895,\"1,680\",\"996,421\",\"40,545\",\"50,096\",\"111,652\"\n` \\n\\nQuestion: `What were the total number of people employed in 'Manufacturing' and 'Construction' sectors in the 'Private' and 'Government Company/Corporation' categories in 2012?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8\n0,Sector Economic Activity,Total,Domestic,Non profit,/ / Diplomatic/Inte rnational/Regio nal,Private,Mixed,/ Government Company / Corporation,Government Department\n1,\"Agriculture, forestry and fishing\",\"18,162\",0,0,0,\"17,916\",110,55,81\n2,Mining and quarrying,\"83,111\",0,0,0,\"58,431\",\"9,699\",\"14,981\",0\n3,Manufacturing,\"102,806\",0,0,0,\"94,387\",\"8,419\",0,0\n4,\"Electricity, gas, steam and air conditioning supply\",\"7,665\",0,0,0,0,\"4,398\",\"3,267\",0\n5,\"Water supply; sewerage, waste management and remediation activities\",\"1,296\",0,0,0,509,0,0,787\n6,Construction,\"499,264\",0,0,0,\"499,264\",0,0,0\n7,Wholesale and retail trade; repair of motor vehicles and motorcycles,\"169,359\",0,0,0,\"166,305\",\"3,054\",0,0\n8,Transportation and storage,\"38,275\",0,0,0,\"22,413\",\"6,242\",\"8,544\",\"1,076\"\n9,Accommodation and food service activities,\"32,205\",0,0,0,\"29,015\",115,\"3,075\",0\n10,Information and communication,\"11,458\",0,0,0,\"3,561\",\"3,008\",\"2,993\",\"1,896\"\n11,Financial and insurance activities,\"11,458\",0,0,0,\"6,629\",\"3,925\",769,135\n12,Real estate activities,\"9,334\",0,0,0,\"7,447\",833,\"1,054\",0\n13,\"Professional, scientific and technical activities\",\"25,533\",0,0,0,\"24,809\",724,0,0\n14,Administrative and support service activities,\"41,447\",0,0,0,\"38,957\",18,\"2,472\",0\n15,Public administration and defence; compulsory social security,\"81,540\",0,0,0,0,0,0,\"81,540\"\n16,Education,\"30,409\",0,56,0,\"12,567\",0,0,\"17,786\"\n17,Human health and social work activities,\"23,510\",0,123,0,\"5,669\",0,\"12,615\",\"5,103\"\n18,\"Arts, entertainment and recreation\",\"7,764\",0,399,0,\"3,917\",0,271,\"3,177\"\n19,Other service activities,\"5,013\",0,317,0,\"4,625\",0,0,71\n20,Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use,\"139,904\",\"139,904\",0,0,0,0,0,0\n21,Activities of extraterritorial organizations and bodies,\"1,680\",0,0,\"1,680\",0,0,0,0\n22,Total,\"1,341,193\",\"139,904\",895,\"1,680\",\"996,421\",\"40,545\",\"50,096\",\"111,652\"\n` \\n\\nQuestion: `What were the total number of people employed in 'Manufacturing' and 'Construction' sectors in the 'Private' and 'Government Company/Corporation' categories in 2012?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
psa--7--464
|
./tables/csvs/psa--7--464.csv
|
./tables/images/psa--7--464.jpg
|
,0,1,2,3,4,5,6,7,8
0,Sector Economic Activity,Total,Domestic,Non profit,/ / Diplomatic/Inte rnational/Regio nal,Private,Mixed,/ Government Company / Corporation,Government Department
1,"Agriculture, forestry and fishing","18,162",0,0,0,"17,916",110,55,81
2,Mining and quarrying,"83,111",0,0,0,"58,431","9,699","14,981",0
3,Manufacturing,"102,806",0,0,0,"94,387","8,419",0,0
4,"Electricity, gas, steam and air conditioning supply","7,665",0,0,0,0,"4,398","3,267",0
5,"Water supply; sewerage, waste management and remediation activities","1,296",0,0,0,509,0,0,787
6,Construction,"499,264",0,0,0,"499,264",0,0,0
7,Wholesale and retail trade; repair of motor vehicles and motorcycles,"169,359",0,0,0,"166,305","3,054",0,0
8,Transportation and storage,"38,275",0,0,0,"22,413","6,242","8,544","1,076"
9,Accommodation and food service activities,"32,205",0,0,0,"29,015",115,"3,075",0
10,Information and communication,"11,458",0,0,0,"3,561","3,008","2,993","1,896"
11,Financial and insurance activities,"11,458",0,0,0,"6,629","3,925",769,135
12,Real estate activities,"9,334",0,0,0,"7,447",833,"1,054",0
13,"Professional, scientific and technical activities","25,533",0,0,0,"24,809",724,0,0
14,Administrative and support service activities,"41,447",0,0,0,"38,957",18,"2,472",0
15,Public administration and defence; compulsory social security,"81,540",0,0,0,0,0,0,"81,540"
16,Education,"30,409",0,56,0,"12,567",0,0,"17,786"
17,Human health and social work activities,"23,510",0,123,0,"5,669",0,"12,615","5,103"
18,"Arts, entertainment and recreation","7,764",0,399,0,"3,917",0,271,"3,177"
19,Other service activities,"5,013",0,317,0,"4,625",0,0,71
20,Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use,"139,904","139,904",0,0,0,0,0,0
21,Activities of extraterritorial organizations and bodies,"1,680",0,0,"1,680",0,0,0,0
22,Total,"1,341,193","139,904",895,"1,680","996,421","40,545","50,096","111,652"
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
psa--7--464--M1
|
What was the number of people working in the private sector that had jobs of type 'manufacturing'?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": true, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "1", "Row Filter Retained Rows Single": true, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "1", "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": "1", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": "", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
{94387}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8\n0,Sector Economic Activity,Total,Domestic,Non profit,/ / Diplomatic/Inte rnational/Regio nal,Private,Mixed,/ Government Company / Corporation,Government Department\n1,\"Agriculture, forestry and fishing\",\"18,162\",0,0,0,\"17,916\",110,55,81\n2,Mining and quarrying,\"83,111\",0,0,0,\"58,431\",\"9,699\",\"14,981\",0\n3,Manufacturing,\"102,806\",0,0,0,\"94,387\",\"8,419\",0,0\n4,\"Electricity, gas, steam and air conditioning supply\",\"7,665\",0,0,0,0,\"4,398\",\"3,267\",0\n5,\"Water supply; sewerage, waste management and remediation activities\",\"1,296\",0,0,0,509,0,0,787\n6,Construction,\"499,264\",0,0,0,\"499,264\",0,0,0\n7,Wholesale and retail trade; repair of motor vehicles and motorcycles,\"169,359\",0,0,0,\"166,305\",\"3,054\",0,0\n8,Transportation and storage,\"38,275\",0,0,0,\"22,413\",\"6,242\",\"8,544\",\"1,076\"\n9,Accommodation and food service activities,\"32,205\",0,0,0,\"29,015\",115,\"3,075\",0\n10,Information and communication,\"11,458\",0,0,0,\"3,561\",\"3,008\",\"2,993\",\"1,896\"\n11,Financial and insurance activities,\"11,458\",0,0,0,\"6,629\",\"3,925\",769,135\n12,Real estate activities,\"9,334\",0,0,0,\"7,447\",833,\"1,054\",0\n13,\"Professional, scientific and technical activities\",\"25,533\",0,0,0,\"24,809\",724,0,0\n14,Administrative and support service activities,\"41,447\",0,0,0,\"38,957\",18,\"2,472\",0\n15,Public administration and defence; compulsory social security,\"81,540\",0,0,0,0,0,0,\"81,540\"\n16,Education,\"30,409\",0,56,0,\"12,567\",0,0,\"17,786\"\n17,Human health and social work activities,\"23,510\",0,123,0,\"5,669\",0,\"12,615\",\"5,103\"\n18,\"Arts, entertainment and recreation\",\"7,764\",0,399,0,\"3,917\",0,271,\"3,177\"\n19,Other service activities,\"5,013\",0,317,0,\"4,625\",0,0,71\n20,Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use,\"139,904\",\"139,904\",0,0,0,0,0,0\n21,Activities of extraterritorial organizations and bodies,\"1,680\",0,0,\"1,680\",0,0,0,0\n22,Total,\"1,341,193\",\"139,904\",895,\"1,680\",\"996,421\",\"40,545\",\"50,096\",\"111,652\"\n` \\n\\nQuestion: `What was the number of people working in the private sector that had jobs of type 'manufacturing'?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8\n0,Sector Economic Activity,Total,Domestic,Non profit,/ / Diplomatic/Inte rnational/Regio nal,Private,Mixed,/ Government Company / Corporation,Government Department\n1,\"Agriculture, forestry and fishing\",\"18,162\",0,0,0,\"17,916\",110,55,81\n2,Mining and quarrying,\"83,111\",0,0,0,\"58,431\",\"9,699\",\"14,981\",0\n3,Manufacturing,\"102,806\",0,0,0,\"94,387\",\"8,419\",0,0\n4,\"Electricity, gas, steam and air conditioning supply\",\"7,665\",0,0,0,0,\"4,398\",\"3,267\",0\n5,\"Water supply; sewerage, waste management and remediation activities\",\"1,296\",0,0,0,509,0,0,787\n6,Construction,\"499,264\",0,0,0,\"499,264\",0,0,0\n7,Wholesale and retail trade; repair of motor vehicles and motorcycles,\"169,359\",0,0,0,\"166,305\",\"3,054\",0,0\n8,Transportation and storage,\"38,275\",0,0,0,\"22,413\",\"6,242\",\"8,544\",\"1,076\"\n9,Accommodation and food service activities,\"32,205\",0,0,0,\"29,015\",115,\"3,075\",0\n10,Information and communication,\"11,458\",0,0,0,\"3,561\",\"3,008\",\"2,993\",\"1,896\"\n11,Financial and insurance activities,\"11,458\",0,0,0,\"6,629\",\"3,925\",769,135\n12,Real estate activities,\"9,334\",0,0,0,\"7,447\",833,\"1,054\",0\n13,\"Professional, scientific and technical activities\",\"25,533\",0,0,0,\"24,809\",724,0,0\n14,Administrative and support service activities,\"41,447\",0,0,0,\"38,957\",18,\"2,472\",0\n15,Public administration and defence; compulsory social security,\"81,540\",0,0,0,0,0,0,\"81,540\"\n16,Education,\"30,409\",0,56,0,\"12,567\",0,0,\"17,786\"\n17,Human health and social work activities,\"23,510\",0,123,0,\"5,669\",0,\"12,615\",\"5,103\"\n18,\"Arts, entertainment and recreation\",\"7,764\",0,399,0,\"3,917\",0,271,\"3,177\"\n19,Other service activities,\"5,013\",0,317,0,\"4,625\",0,0,71\n20,Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use,\"139,904\",\"139,904\",0,0,0,0,0,0\n21,Activities of extraterritorial organizations and bodies,\"1,680\",0,0,\"1,680\",0,0,0,0\n22,Total,\"1,341,193\",\"139,904\",895,\"1,680\",\"996,421\",\"40,545\",\"50,096\",\"111,652\"\n` \\n\\nQuestion: `What was the number of people working in the private sector that had jobs of type 'manufacturing'?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
psa--7--464
|
./tables/csvs/psa--7--464.csv
|
./tables/images/psa--7--464.jpg
|
,0,1,2,3,4,5,6,7,8
0,Sector Economic Activity,Total,Domestic,Non profit,/ / Diplomatic/Inte rnational/Regio nal,Private,Mixed,/ Government Company / Corporation,Government Department
1,"Agriculture, forestry and fishing","18,162",0,0,0,"17,916",110,55,81
2,Mining and quarrying,"83,111",0,0,0,"58,431","9,699","14,981",0
3,Manufacturing,"102,806",0,0,0,"94,387","8,419",0,0
4,"Electricity, gas, steam and air conditioning supply","7,665",0,0,0,0,"4,398","3,267",0
5,"Water supply; sewerage, waste management and remediation activities","1,296",0,0,0,509,0,0,787
6,Construction,"499,264",0,0,0,"499,264",0,0,0
7,Wholesale and retail trade; repair of motor vehicles and motorcycles,"169,359",0,0,0,"166,305","3,054",0,0
8,Transportation and storage,"38,275",0,0,0,"22,413","6,242","8,544","1,076"
9,Accommodation and food service activities,"32,205",0,0,0,"29,015",115,"3,075",0
10,Information and communication,"11,458",0,0,0,"3,561","3,008","2,993","1,896"
11,Financial and insurance activities,"11,458",0,0,0,"6,629","3,925",769,135
12,Real estate activities,"9,334",0,0,0,"7,447",833,"1,054",0
13,"Professional, scientific and technical activities","25,533",0,0,0,"24,809",724,0,0
14,Administrative and support service activities,"41,447",0,0,0,"38,957",18,"2,472",0
15,Public administration and defence; compulsory social security,"81,540",0,0,0,0,0,0,"81,540"
16,Education,"30,409",0,56,0,"12,567",0,0,"17,786"
17,Human health and social work activities,"23,510",0,123,0,"5,669",0,"12,615","5,103"
18,"Arts, entertainment and recreation","7,764",0,399,0,"3,917",0,271,"3,177"
19,Other service activities,"5,013",0,317,0,"4,625",0,0,71
20,Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use,"139,904","139,904",0,0,0,0,0,0
21,Activities of extraterritorial organizations and bodies,"1,680",0,0,"1,680",0,0,0,0
22,Total,"1,341,193","139,904",895,"1,680","996,421","40,545","50,096","111,652"
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
psa--7--464--A3
|
What are the total and domestic economically active population numbers for the sectors "Mining and quarrying" and "Manufacturing"?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": true, "Row Filter Num Of Conditions": 1, "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": 2, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{83,111 | 0} || {102,806 | 0}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8\n0,Sector Economic Activity,Total,Domestic,Non profit,/ / Diplomatic/Inte rnational/Regio nal,Private,Mixed,/ Government Company / Corporation,Government Department\n1,\"Agriculture, forestry and fishing\",\"18,162\",0,0,0,\"17,916\",110,55,81\n2,Mining and quarrying,\"83,111\",0,0,0,\"58,431\",\"9,699\",\"14,981\",0\n3,Manufacturing,\"102,806\",0,0,0,\"94,387\",\"8,419\",0,0\n4,\"Electricity, gas, steam and air conditioning supply\",\"7,665\",0,0,0,0,\"4,398\",\"3,267\",0\n5,\"Water supply; sewerage, waste management and remediation activities\",\"1,296\",0,0,0,509,0,0,787\n6,Construction,\"499,264\",0,0,0,\"499,264\",0,0,0\n7,Wholesale and retail trade; repair of motor vehicles and motorcycles,\"169,359\",0,0,0,\"166,305\",\"3,054\",0,0\n8,Transportation and storage,\"38,275\",0,0,0,\"22,413\",\"6,242\",\"8,544\",\"1,076\"\n9,Accommodation and food service activities,\"32,205\",0,0,0,\"29,015\",115,\"3,075\",0\n10,Information and communication,\"11,458\",0,0,0,\"3,561\",\"3,008\",\"2,993\",\"1,896\"\n11,Financial and insurance activities,\"11,458\",0,0,0,\"6,629\",\"3,925\",769,135\n12,Real estate activities,\"9,334\",0,0,0,\"7,447\",833,\"1,054\",0\n13,\"Professional, scientific and technical activities\",\"25,533\",0,0,0,\"24,809\",724,0,0\n14,Administrative and support service activities,\"41,447\",0,0,0,\"38,957\",18,\"2,472\",0\n15,Public administration and defence; compulsory social security,\"81,540\",0,0,0,0,0,0,\"81,540\"\n16,Education,\"30,409\",0,56,0,\"12,567\",0,0,\"17,786\"\n17,Human health and social work activities,\"23,510\",0,123,0,\"5,669\",0,\"12,615\",\"5,103\"\n18,\"Arts, entertainment and recreation\",\"7,764\",0,399,0,\"3,917\",0,271,\"3,177\"\n19,Other service activities,\"5,013\",0,317,0,\"4,625\",0,0,71\n20,Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use,\"139,904\",\"139,904\",0,0,0,0,0,0\n21,Activities of extraterritorial organizations and bodies,\"1,680\",0,0,\"1,680\",0,0,0,0\n22,Total,\"1,341,193\",\"139,904\",895,\"1,680\",\"996,421\",\"40,545\",\"50,096\",\"111,652\"\n` \\n\\nQuestion: `What are the total and domestic economically active population numbers for the sectors \"Mining and quarrying\" and \"Manufacturing\"?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8\n0,Sector Economic Activity,Total,Domestic,Non profit,/ / Diplomatic/Inte rnational/Regio nal,Private,Mixed,/ Government Company / Corporation,Government Department\n1,\"Agriculture, forestry and fishing\",\"18,162\",0,0,0,\"17,916\",110,55,81\n2,Mining and quarrying,\"83,111\",0,0,0,\"58,431\",\"9,699\",\"14,981\",0\n3,Manufacturing,\"102,806\",0,0,0,\"94,387\",\"8,419\",0,0\n4,\"Electricity, gas, steam and air conditioning supply\",\"7,665\",0,0,0,0,\"4,398\",\"3,267\",0\n5,\"Water supply; sewerage, waste management and remediation activities\",\"1,296\",0,0,0,509,0,0,787\n6,Construction,\"499,264\",0,0,0,\"499,264\",0,0,0\n7,Wholesale and retail trade; repair of motor vehicles and motorcycles,\"169,359\",0,0,0,\"166,305\",\"3,054\",0,0\n8,Transportation and storage,\"38,275\",0,0,0,\"22,413\",\"6,242\",\"8,544\",\"1,076\"\n9,Accommodation and food service activities,\"32,205\",0,0,0,\"29,015\",115,\"3,075\",0\n10,Information and communication,\"11,458\",0,0,0,\"3,561\",\"3,008\",\"2,993\",\"1,896\"\n11,Financial and insurance activities,\"11,458\",0,0,0,\"6,629\",\"3,925\",769,135\n12,Real estate activities,\"9,334\",0,0,0,\"7,447\",833,\"1,054\",0\n13,\"Professional, scientific and technical activities\",\"25,533\",0,0,0,\"24,809\",724,0,0\n14,Administrative and support service activities,\"41,447\",0,0,0,\"38,957\",18,\"2,472\",0\n15,Public administration and defence; compulsory social security,\"81,540\",0,0,0,0,0,0,\"81,540\"\n16,Education,\"30,409\",0,56,0,\"12,567\",0,0,\"17,786\"\n17,Human health and social work activities,\"23,510\",0,123,0,\"5,669\",0,\"12,615\",\"5,103\"\n18,\"Arts, entertainment and recreation\",\"7,764\",0,399,0,\"3,917\",0,271,\"3,177\"\n19,Other service activities,\"5,013\",0,317,0,\"4,625\",0,0,71\n20,Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use,\"139,904\",\"139,904\",0,0,0,0,0,0\n21,Activities of extraterritorial organizations and bodies,\"1,680\",0,0,\"1,680\",0,0,0,0\n22,Total,\"1,341,193\",\"139,904\",895,\"1,680\",\"996,421\",\"40,545\",\"50,096\",\"111,652\"\n` \\n\\nQuestion: `What are the total and domestic economically active population numbers for the sectors \"Mining and quarrying\" and \"Manufacturing\"?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
psa--7--464
|
./tables/csvs/psa--7--464.csv
|
./tables/images/psa--7--464.jpg
|
,0,1,2,3,4,5,6,7,8
0,Sector Economic Activity,Total,Domestic,Non profit,/ / Diplomatic/Inte rnational/Regio nal,Private,Mixed,/ Government Company / Corporation,Government Department
1,"Agriculture, forestry and fishing","18,162",0,0,0,"17,916",110,55,81
2,Mining and quarrying,"83,111",0,0,0,"58,431","9,699","14,981",0
3,Manufacturing,"102,806",0,0,0,"94,387","8,419",0,0
4,"Electricity, gas, steam and air conditioning supply","7,665",0,0,0,0,"4,398","3,267",0
5,"Water supply; sewerage, waste management and remediation activities","1,296",0,0,0,509,0,0,787
6,Construction,"499,264",0,0,0,"499,264",0,0,0
7,Wholesale and retail trade; repair of motor vehicles and motorcycles,"169,359",0,0,0,"166,305","3,054",0,0
8,Transportation and storage,"38,275",0,0,0,"22,413","6,242","8,544","1,076"
9,Accommodation and food service activities,"32,205",0,0,0,"29,015",115,"3,075",0
10,Information and communication,"11,458",0,0,0,"3,561","3,008","2,993","1,896"
11,Financial and insurance activities,"11,458",0,0,0,"6,629","3,925",769,135
12,Real estate activities,"9,334",0,0,0,"7,447",833,"1,054",0
13,"Professional, scientific and technical activities","25,533",0,0,0,"24,809",724,0,0
14,Administrative and support service activities,"41,447",0,0,0,"38,957",18,"2,472",0
15,Public administration and defence; compulsory social security,"81,540",0,0,0,0,0,0,"81,540"
16,Education,"30,409",0,56,0,"12,567",0,0,"17,786"
17,Human health and social work activities,"23,510",0,123,0,"5,669",0,"12,615","5,103"
18,"Arts, entertainment and recreation","7,764",0,399,0,"3,917",0,271,"3,177"
19,Other service activities,"5,013",0,317,0,"4,625",0,0,71
20,Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use,"139,904","139,904",0,0,0,0,0,0
21,Activities of extraterritorial organizations and bodies,"1,680",0,0,"1,680",0,0,0,0
22,Total,"1,341,193","139,904",895,"1,680","996,421","40,545","50,096","111,652"
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
psa--7--464--A0
|
What are the minimum and maximum numbers of economically active population in the 'Private' sector for the 'Manufacturing' and 'Construction' economic activities?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": true, "Row Filter Num Of Conditions": 1, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": 1, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": true, "Aggregation Aggregation On Plain": true, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": true, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": true, "Aggregation Num Of Aggregations": 2, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{94387} || {499264}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8\n0,Sector Economic Activity,Total,Domestic,Non profit,/ / Diplomatic/Inte rnational/Regio nal,Private,Mixed,/ Government Company / Corporation,Government Department\n1,\"Agriculture, forestry and fishing\",\"18,162\",0,0,0,\"17,916\",110,55,81\n2,Mining and quarrying,\"83,111\",0,0,0,\"58,431\",\"9,699\",\"14,981\",0\n3,Manufacturing,\"102,806\",0,0,0,\"94,387\",\"8,419\",0,0\n4,\"Electricity, gas, steam and air conditioning supply\",\"7,665\",0,0,0,0,\"4,398\",\"3,267\",0\n5,\"Water supply; sewerage, waste management and remediation activities\",\"1,296\",0,0,0,509,0,0,787\n6,Construction,\"499,264\",0,0,0,\"499,264\",0,0,0\n7,Wholesale and retail trade; repair of motor vehicles and motorcycles,\"169,359\",0,0,0,\"166,305\",\"3,054\",0,0\n8,Transportation and storage,\"38,275\",0,0,0,\"22,413\",\"6,242\",\"8,544\",\"1,076\"\n9,Accommodation and food service activities,\"32,205\",0,0,0,\"29,015\",115,\"3,075\",0\n10,Information and communication,\"11,458\",0,0,0,\"3,561\",\"3,008\",\"2,993\",\"1,896\"\n11,Financial and insurance activities,\"11,458\",0,0,0,\"6,629\",\"3,925\",769,135\n12,Real estate activities,\"9,334\",0,0,0,\"7,447\",833,\"1,054\",0\n13,\"Professional, scientific and technical activities\",\"25,533\",0,0,0,\"24,809\",724,0,0\n14,Administrative and support service activities,\"41,447\",0,0,0,\"38,957\",18,\"2,472\",0\n15,Public administration and defence; compulsory social security,\"81,540\",0,0,0,0,0,0,\"81,540\"\n16,Education,\"30,409\",0,56,0,\"12,567\",0,0,\"17,786\"\n17,Human health and social work activities,\"23,510\",0,123,0,\"5,669\",0,\"12,615\",\"5,103\"\n18,\"Arts, entertainment and recreation\",\"7,764\",0,399,0,\"3,917\",0,271,\"3,177\"\n19,Other service activities,\"5,013\",0,317,0,\"4,625\",0,0,71\n20,Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use,\"139,904\",\"139,904\",0,0,0,0,0,0\n21,Activities of extraterritorial organizations and bodies,\"1,680\",0,0,\"1,680\",0,0,0,0\n22,Total,\"1,341,193\",\"139,904\",895,\"1,680\",\"996,421\",\"40,545\",\"50,096\",\"111,652\"\n` \\n\\nQuestion: `What are the minimum and maximum numbers of economically active population in the 'Private' sector for the 'Manufacturing' and 'Construction' economic activities?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8\n0,Sector Economic Activity,Total,Domestic,Non profit,/ / Diplomatic/Inte rnational/Regio nal,Private,Mixed,/ Government Company / Corporation,Government Department\n1,\"Agriculture, forestry and fishing\",\"18,162\",0,0,0,\"17,916\",110,55,81\n2,Mining and quarrying,\"83,111\",0,0,0,\"58,431\",\"9,699\",\"14,981\",0\n3,Manufacturing,\"102,806\",0,0,0,\"94,387\",\"8,419\",0,0\n4,\"Electricity, gas, steam and air conditioning supply\",\"7,665\",0,0,0,0,\"4,398\",\"3,267\",0\n5,\"Water supply; sewerage, waste management and remediation activities\",\"1,296\",0,0,0,509,0,0,787\n6,Construction,\"499,264\",0,0,0,\"499,264\",0,0,0\n7,Wholesale and retail trade; repair of motor vehicles and motorcycles,\"169,359\",0,0,0,\"166,305\",\"3,054\",0,0\n8,Transportation and storage,\"38,275\",0,0,0,\"22,413\",\"6,242\",\"8,544\",\"1,076\"\n9,Accommodation and food service activities,\"32,205\",0,0,0,\"29,015\",115,\"3,075\",0\n10,Information and communication,\"11,458\",0,0,0,\"3,561\",\"3,008\",\"2,993\",\"1,896\"\n11,Financial and insurance activities,\"11,458\",0,0,0,\"6,629\",\"3,925\",769,135\n12,Real estate activities,\"9,334\",0,0,0,\"7,447\",833,\"1,054\",0\n13,\"Professional, scientific and technical activities\",\"25,533\",0,0,0,\"24,809\",724,0,0\n14,Administrative and support service activities,\"41,447\",0,0,0,\"38,957\",18,\"2,472\",0\n15,Public administration and defence; compulsory social security,\"81,540\",0,0,0,0,0,0,\"81,540\"\n16,Education,\"30,409\",0,56,0,\"12,567\",0,0,\"17,786\"\n17,Human health and social work activities,\"23,510\",0,123,0,\"5,669\",0,\"12,615\",\"5,103\"\n18,\"Arts, entertainment and recreation\",\"7,764\",0,399,0,\"3,917\",0,271,\"3,177\"\n19,Other service activities,\"5,013\",0,317,0,\"4,625\",0,0,71\n20,Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use,\"139,904\",\"139,904\",0,0,0,0,0,0\n21,Activities of extraterritorial organizations and bodies,\"1,680\",0,0,\"1,680\",0,0,0,0\n22,Total,\"1,341,193\",\"139,904\",895,\"1,680\",\"996,421\",\"40,545\",\"50,096\",\"111,652\"\n` \\n\\nQuestion: `What are the minimum and maximum numbers of economically active population in the 'Private' sector for the 'Manufacturing' and 'Construction' economic activities?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
psa--7--464
|
./tables/csvs/psa--7--464.csv
|
./tables/images/psa--7--464.jpg
|
,0,1,2,3,4,5,6,7,8
0,Sector Economic Activity,Total,Domestic,Non profit,/ / Diplomatic/Inte rnational/Regio nal,Private,Mixed,/ Government Company / Corporation,Government Department
1,"Agriculture, forestry and fishing","18,162",0,0,0,"17,916",110,55,81
2,Mining and quarrying,"83,111",0,0,0,"58,431","9,699","14,981",0
3,Manufacturing,"102,806",0,0,0,"94,387","8,419",0,0
4,"Electricity, gas, steam and air conditioning supply","7,665",0,0,0,0,"4,398","3,267",0
5,"Water supply; sewerage, waste management and remediation activities","1,296",0,0,0,509,0,0,787
6,Construction,"499,264",0,0,0,"499,264",0,0,0
7,Wholesale and retail trade; repair of motor vehicles and motorcycles,"169,359",0,0,0,"166,305","3,054",0,0
8,Transportation and storage,"38,275",0,0,0,"22,413","6,242","8,544","1,076"
9,Accommodation and food service activities,"32,205",0,0,0,"29,015",115,"3,075",0
10,Information and communication,"11,458",0,0,0,"3,561","3,008","2,993","1,896"
11,Financial and insurance activities,"11,458",0,0,0,"6,629","3,925",769,135
12,Real estate activities,"9,334",0,0,0,"7,447",833,"1,054",0
13,"Professional, scientific and technical activities","25,533",0,0,0,"24,809",724,0,0
14,Administrative and support service activities,"41,447",0,0,0,"38,957",18,"2,472",0
15,Public administration and defence; compulsory social security,"81,540",0,0,0,0,0,0,"81,540"
16,Education,"30,409",0,56,0,"12,567",0,0,"17,786"
17,Human health and social work activities,"23,510",0,123,0,"5,669",0,"12,615","5,103"
18,"Arts, entertainment and recreation","7,764",0,399,0,"3,917",0,271,"3,177"
19,Other service activities,"5,013",0,317,0,"4,625",0,0,71
20,Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use,"139,904","139,904",0,0,0,0,0,0
21,Activities of extraterritorial organizations and bodies,"1,680",0,0,"1,680",0,0,0,0
22,Total,"1,341,193","139,904",895,"1,680","996,421","40,545","50,096","111,652"
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
psa--7--464--A4
|
Is the total number of people involved in 'Agriculture, forestry and fishing' greater than the total number of people involved in 'Mining and quarrying' and 'Manufacturing' combined?
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": false, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": false, "Returned Columns": false, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": false, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": false, "Yes/No": true, "Yes/No Scope Single": false, "Yes/No Scope Multiple": true, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
No
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8\n0,Sector Economic Activity,Total,Domestic,Non profit,/ / Diplomatic/Inte rnational/Regio nal,Private,Mixed,/ Government Company / Corporation,Government Department\n1,\"Agriculture, forestry and fishing\",\"18,162\",0,0,0,\"17,916\",110,55,81\n2,Mining and quarrying,\"83,111\",0,0,0,\"58,431\",\"9,699\",\"14,981\",0\n3,Manufacturing,\"102,806\",0,0,0,\"94,387\",\"8,419\",0,0\n4,\"Electricity, gas, steam and air conditioning supply\",\"7,665\",0,0,0,0,\"4,398\",\"3,267\",0\n5,\"Water supply; sewerage, waste management and remediation activities\",\"1,296\",0,0,0,509,0,0,787\n6,Construction,\"499,264\",0,0,0,\"499,264\",0,0,0\n7,Wholesale and retail trade; repair of motor vehicles and motorcycles,\"169,359\",0,0,0,\"166,305\",\"3,054\",0,0\n8,Transportation and storage,\"38,275\",0,0,0,\"22,413\",\"6,242\",\"8,544\",\"1,076\"\n9,Accommodation and food service activities,\"32,205\",0,0,0,\"29,015\",115,\"3,075\",0\n10,Information and communication,\"11,458\",0,0,0,\"3,561\",\"3,008\",\"2,993\",\"1,896\"\n11,Financial and insurance activities,\"11,458\",0,0,0,\"6,629\",\"3,925\",769,135\n12,Real estate activities,\"9,334\",0,0,0,\"7,447\",833,\"1,054\",0\n13,\"Professional, scientific and technical activities\",\"25,533\",0,0,0,\"24,809\",724,0,0\n14,Administrative and support service activities,\"41,447\",0,0,0,\"38,957\",18,\"2,472\",0\n15,Public administration and defence; compulsory social security,\"81,540\",0,0,0,0,0,0,\"81,540\"\n16,Education,\"30,409\",0,56,0,\"12,567\",0,0,\"17,786\"\n17,Human health and social work activities,\"23,510\",0,123,0,\"5,669\",0,\"12,615\",\"5,103\"\n18,\"Arts, entertainment and recreation\",\"7,764\",0,399,0,\"3,917\",0,271,\"3,177\"\n19,Other service activities,\"5,013\",0,317,0,\"4,625\",0,0,71\n20,Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use,\"139,904\",\"139,904\",0,0,0,0,0,0\n21,Activities of extraterritorial organizations and bodies,\"1,680\",0,0,\"1,680\",0,0,0,0\n22,Total,\"1,341,193\",\"139,904\",895,\"1,680\",\"996,421\",\"40,545\",\"50,096\",\"111,652\"\n` \\n\\nQuestion: `Is the total number of people involved in 'Agriculture, forestry and fishing' greater than the total number of people involved in 'Mining and quarrying' and 'Manufacturing' combined?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8\n0,Sector Economic Activity,Total,Domestic,Non profit,/ / Diplomatic/Inte rnational/Regio nal,Private,Mixed,/ Government Company / Corporation,Government Department\n1,\"Agriculture, forestry and fishing\",\"18,162\",0,0,0,\"17,916\",110,55,81\n2,Mining and quarrying,\"83,111\",0,0,0,\"58,431\",\"9,699\",\"14,981\",0\n3,Manufacturing,\"102,806\",0,0,0,\"94,387\",\"8,419\",0,0\n4,\"Electricity, gas, steam and air conditioning supply\",\"7,665\",0,0,0,0,\"4,398\",\"3,267\",0\n5,\"Water supply; sewerage, waste management and remediation activities\",\"1,296\",0,0,0,509,0,0,787\n6,Construction,\"499,264\",0,0,0,\"499,264\",0,0,0\n7,Wholesale and retail trade; repair of motor vehicles and motorcycles,\"169,359\",0,0,0,\"166,305\",\"3,054\",0,0\n8,Transportation and storage,\"38,275\",0,0,0,\"22,413\",\"6,242\",\"8,544\",\"1,076\"\n9,Accommodation and food service activities,\"32,205\",0,0,0,\"29,015\",115,\"3,075\",0\n10,Information and communication,\"11,458\",0,0,0,\"3,561\",\"3,008\",\"2,993\",\"1,896\"\n11,Financial and insurance activities,\"11,458\",0,0,0,\"6,629\",\"3,925\",769,135\n12,Real estate activities,\"9,334\",0,0,0,\"7,447\",833,\"1,054\",0\n13,\"Professional, scientific and technical activities\",\"25,533\",0,0,0,\"24,809\",724,0,0\n14,Administrative and support service activities,\"41,447\",0,0,0,\"38,957\",18,\"2,472\",0\n15,Public administration and defence; compulsory social security,\"81,540\",0,0,0,0,0,0,\"81,540\"\n16,Education,\"30,409\",0,56,0,\"12,567\",0,0,\"17,786\"\n17,Human health and social work activities,\"23,510\",0,123,0,\"5,669\",0,\"12,615\",\"5,103\"\n18,\"Arts, entertainment and recreation\",\"7,764\",0,399,0,\"3,917\",0,271,\"3,177\"\n19,Other service activities,\"5,013\",0,317,0,\"4,625\",0,0,71\n20,Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use,\"139,904\",\"139,904\",0,0,0,0,0,0\n21,Activities of extraterritorial organizations and bodies,\"1,680\",0,0,\"1,680\",0,0,0,0\n22,Total,\"1,341,193\",\"139,904\",895,\"1,680\",\"996,421\",\"40,545\",\"50,096\",\"111,652\"\n` \\n\\nQuestion: `Is the total number of people involved in 'Agriculture, forestry and fishing' greater than the total number of people involved in 'Mining and quarrying' and 'Manufacturing' combined?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
pak--1--2320
|
./tables/csvs/pak--1--2320.csv
|
./tables/images/pak--1--2320.jpg
|
,0,1,2,3,4,5,6,7,8
0,Age Groups,1998 (*),__,__,__,2017,__,__,__
1,__,Both Sexes,Male,Female,Sex Ratio,Both Sexes,Male,Female,Sex Ratio
2,All Ages,129.18,67.22,61.95,109,207.68,106.34,101.34,105
3,00-04,19.12,9.96,9.36,106,29.17,14.94,14.22,105
4,05-09,20.22,10.57,9.64,110,30.03,15.64,14.38,109
5,10-14,16.73,8.91,7.82,114,24.52,12.95,11.58,112
6,15-19,13.40,6.91,6.49,106,21.37,11.10,10.27,108
7,20-24,11.59,5.81,5.77,101,18.50,9.25,9.25,100
8,25-29,9.52,4.88,4.64,105,16.40,7.94,8.46,94
9,30-34,8.04,4.23,3.81,111,14.15,6.95,7.20,96
10,35-39,6.17,3.25,2.91,112,12.05,6.09,5.96,102
11,40-44,5.75,2.93,2.81,104,9.63,4.85,4.78,102
12,45-49,4.56,2.36,2.20,107,7.93,4.06,3.87,105
13,50-54,4.15,2.20,1.95,113,6.95,3.64,3.30,110
14,55-59,2.78,1.51,1.27,119,4.97,2.65,2.33,114
15,60-64,2.64,1.42,1.22,116,4.31,2.25,2.06,109
16,65- 69,1.55,0.85,0.70,121,2.95,1.56,1.39,112
17,70-74,1.41,0.78,0.63,123,2.13,1.13,1.00,113
18,75 & Above,1.56,0.85,0.71,120,2.63,1.34,1.29,104
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": false, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
pak--1--2320--A1
|
What is the difference in population (in millions) between males and females in the age group 30-34 in the year 1998?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": true, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": 1, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": 1, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{0.42}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8\n0,Age Groups,1998 (*),__,__,__,2017,__,__,__\n1,__,Both Sexes,Male,Female,Sex Ratio,Both Sexes,Male,Female,Sex Ratio\n2,All Ages,129.18,67.22,61.95,109,207.68,106.34,101.34,105\n3,00-04,19.12,9.96,9.36,106,29.17,14.94,14.22,105\n4,05-09,20.22,10.57,9.64,110,30.03,15.64,14.38,109\n5,10-14,16.73,8.91,7.82,114,24.52,12.95,11.58,112\n6,15-19,13.40,6.91,6.49,106,21.37,11.10,10.27,108\n7,20-24,11.59,5.81,5.77,101,18.50,9.25,9.25,100\n8,25-29,9.52,4.88,4.64,105,16.40,7.94,8.46,94\n9,30-34,8.04,4.23,3.81,111,14.15,6.95,7.20,96\n10,35-39,6.17,3.25,2.91,112,12.05,6.09,5.96,102\n11,40-44,5.75,2.93,2.81,104,9.63,4.85,4.78,102\n12,45-49,4.56,2.36,2.20,107,7.93,4.06,3.87,105\n13,50-54,4.15,2.20,1.95,113,6.95,3.64,3.30,110\n14,55-59,2.78,1.51,1.27,119,4.97,2.65,2.33,114\n15,60-64,2.64,1.42,1.22,116,4.31,2.25,2.06,109\n16,65- 69,1.55,0.85,0.70,121,2.95,1.56,1.39,112\n17,70-74,1.41,0.78,0.63,123,2.13,1.13,1.00,113\n18,75 & Above,1.56,0.85,0.71,120,2.63,1.34,1.29,104\n` \\n\\nQuestion: `What is the difference in population (in millions) between males and females in the age group 30-34 in the year 1998?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8\n0,Age Groups,1998 (*),__,__,__,2017,__,__,__\n1,__,Both Sexes,Male,Female,Sex Ratio,Both Sexes,Male,Female,Sex Ratio\n2,All Ages,129.18,67.22,61.95,109,207.68,106.34,101.34,105\n3,00-04,19.12,9.96,9.36,106,29.17,14.94,14.22,105\n4,05-09,20.22,10.57,9.64,110,30.03,15.64,14.38,109\n5,10-14,16.73,8.91,7.82,114,24.52,12.95,11.58,112\n6,15-19,13.40,6.91,6.49,106,21.37,11.10,10.27,108\n7,20-24,11.59,5.81,5.77,101,18.50,9.25,9.25,100\n8,25-29,9.52,4.88,4.64,105,16.40,7.94,8.46,94\n9,30-34,8.04,4.23,3.81,111,14.15,6.95,7.20,96\n10,35-39,6.17,3.25,2.91,112,12.05,6.09,5.96,102\n11,40-44,5.75,2.93,2.81,104,9.63,4.85,4.78,102\n12,45-49,4.56,2.36,2.20,107,7.93,4.06,3.87,105\n13,50-54,4.15,2.20,1.95,113,6.95,3.64,3.30,110\n14,55-59,2.78,1.51,1.27,119,4.97,2.65,2.33,114\n15,60-64,2.64,1.42,1.22,116,4.31,2.25,2.06,109\n16,65- 69,1.55,0.85,0.70,121,2.95,1.56,1.39,112\n17,70-74,1.41,0.78,0.63,123,2.13,1.13,1.00,113\n18,75 & Above,1.56,0.85,0.71,120,2.63,1.34,1.29,104\n` \\n\\nQuestion: `What is the difference in population (in millions) between males and females in the age group 30-34 in the year 1998?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
pak--1--2320
|
./tables/csvs/pak--1--2320.csv
|
./tables/images/pak--1--2320.jpg
|
,0,1,2,3,4,5,6,7,8
0,Age Groups,1998 (*),__,__,__,2017,__,__,__
1,__,Both Sexes,Male,Female,Sex Ratio,Both Sexes,Male,Female,Sex Ratio
2,All Ages,129.18,67.22,61.95,109,207.68,106.34,101.34,105
3,00-04,19.12,9.96,9.36,106,29.17,14.94,14.22,105
4,05-09,20.22,10.57,9.64,110,30.03,15.64,14.38,109
5,10-14,16.73,8.91,7.82,114,24.52,12.95,11.58,112
6,15-19,13.40,6.91,6.49,106,21.37,11.10,10.27,108
7,20-24,11.59,5.81,5.77,101,18.50,9.25,9.25,100
8,25-29,9.52,4.88,4.64,105,16.40,7.94,8.46,94
9,30-34,8.04,4.23,3.81,111,14.15,6.95,7.20,96
10,35-39,6.17,3.25,2.91,112,12.05,6.09,5.96,102
11,40-44,5.75,2.93,2.81,104,9.63,4.85,4.78,102
12,45-49,4.56,2.36,2.20,107,7.93,4.06,3.87,105
13,50-54,4.15,2.20,1.95,113,6.95,3.64,3.30,110
14,55-59,2.78,1.51,1.27,119,4.97,2.65,2.33,114
15,60-64,2.64,1.42,1.22,116,4.31,2.25,2.06,109
16,65- 69,1.55,0.85,0.70,121,2.95,1.56,1.39,112
17,70-74,1.41,0.78,0.63,123,2.13,1.13,1.00,113
18,75 & Above,1.56,0.85,0.71,120,2.63,1.34,1.29,104
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": false, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
pak--1--2320--A6
|
What is the maximum population of both sexes in 1998 and the minimum sex ratio in 2017?
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": false, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": false, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": 2, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": true, "Aggregation Aggregation On Plain": true, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": true, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": true, "Aggregation Num Of Aggregations": 2, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{20.22} || {94}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8\n0,Age Groups,1998 (*),__,__,__,2017,__,__,__\n1,__,Both Sexes,Male,Female,Sex Ratio,Both Sexes,Male,Female,Sex Ratio\n2,All Ages,129.18,67.22,61.95,109,207.68,106.34,101.34,105\n3,00-04,19.12,9.96,9.36,106,29.17,14.94,14.22,105\n4,05-09,20.22,10.57,9.64,110,30.03,15.64,14.38,109\n5,10-14,16.73,8.91,7.82,114,24.52,12.95,11.58,112\n6,15-19,13.40,6.91,6.49,106,21.37,11.10,10.27,108\n7,20-24,11.59,5.81,5.77,101,18.50,9.25,9.25,100\n8,25-29,9.52,4.88,4.64,105,16.40,7.94,8.46,94\n9,30-34,8.04,4.23,3.81,111,14.15,6.95,7.20,96\n10,35-39,6.17,3.25,2.91,112,12.05,6.09,5.96,102\n11,40-44,5.75,2.93,2.81,104,9.63,4.85,4.78,102\n12,45-49,4.56,2.36,2.20,107,7.93,4.06,3.87,105\n13,50-54,4.15,2.20,1.95,113,6.95,3.64,3.30,110\n14,55-59,2.78,1.51,1.27,119,4.97,2.65,2.33,114\n15,60-64,2.64,1.42,1.22,116,4.31,2.25,2.06,109\n16,65- 69,1.55,0.85,0.70,121,2.95,1.56,1.39,112\n17,70-74,1.41,0.78,0.63,123,2.13,1.13,1.00,113\n18,75 & Above,1.56,0.85,0.71,120,2.63,1.34,1.29,104\n` \\n\\nQuestion: `What is the maximum population of both sexes in 1998 and the minimum sex ratio in 2017?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8\n0,Age Groups,1998 (*),__,__,__,2017,__,__,__\n1,__,Both Sexes,Male,Female,Sex Ratio,Both Sexes,Male,Female,Sex Ratio\n2,All Ages,129.18,67.22,61.95,109,207.68,106.34,101.34,105\n3,00-04,19.12,9.96,9.36,106,29.17,14.94,14.22,105\n4,05-09,20.22,10.57,9.64,110,30.03,15.64,14.38,109\n5,10-14,16.73,8.91,7.82,114,24.52,12.95,11.58,112\n6,15-19,13.40,6.91,6.49,106,21.37,11.10,10.27,108\n7,20-24,11.59,5.81,5.77,101,18.50,9.25,9.25,100\n8,25-29,9.52,4.88,4.64,105,16.40,7.94,8.46,94\n9,30-34,8.04,4.23,3.81,111,14.15,6.95,7.20,96\n10,35-39,6.17,3.25,2.91,112,12.05,6.09,5.96,102\n11,40-44,5.75,2.93,2.81,104,9.63,4.85,4.78,102\n12,45-49,4.56,2.36,2.20,107,7.93,4.06,3.87,105\n13,50-54,4.15,2.20,1.95,113,6.95,3.64,3.30,110\n14,55-59,2.78,1.51,1.27,119,4.97,2.65,2.33,114\n15,60-64,2.64,1.42,1.22,116,4.31,2.25,2.06,109\n16,65- 69,1.55,0.85,0.70,121,2.95,1.56,1.39,112\n17,70-74,1.41,0.78,0.63,123,2.13,1.13,1.00,113\n18,75 & Above,1.56,0.85,0.71,120,2.63,1.34,1.29,104\n` \\n\\nQuestion: `What is the maximum population of both sexes in 1998 and the minimum sex ratio in 2017?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
pak--1--2320
|
./tables/csvs/pak--1--2320.csv
|
./tables/images/pak--1--2320.jpg
|
,0,1,2,3,4,5,6,7,8
0,Age Groups,1998 (*),__,__,__,2017,__,__,__
1,__,Both Sexes,Male,Female,Sex Ratio,Both Sexes,Male,Female,Sex Ratio
2,All Ages,129.18,67.22,61.95,109,207.68,106.34,101.34,105
3,00-04,19.12,9.96,9.36,106,29.17,14.94,14.22,105
4,05-09,20.22,10.57,9.64,110,30.03,15.64,14.38,109
5,10-14,16.73,8.91,7.82,114,24.52,12.95,11.58,112
6,15-19,13.40,6.91,6.49,106,21.37,11.10,10.27,108
7,20-24,11.59,5.81,5.77,101,18.50,9.25,9.25,100
8,25-29,9.52,4.88,4.64,105,16.40,7.94,8.46,94
9,30-34,8.04,4.23,3.81,111,14.15,6.95,7.20,96
10,35-39,6.17,3.25,2.91,112,12.05,6.09,5.96,102
11,40-44,5.75,2.93,2.81,104,9.63,4.85,4.78,102
12,45-49,4.56,2.36,2.20,107,7.93,4.06,3.87,105
13,50-54,4.15,2.20,1.95,113,6.95,3.64,3.30,110
14,55-59,2.78,1.51,1.27,119,4.97,2.65,2.33,114
15,60-64,2.64,1.42,1.22,116,4.31,2.25,2.06,109
16,65- 69,1.55,0.85,0.70,121,2.95,1.56,1.39,112
17,70-74,1.41,0.78,0.63,123,2.13,1.13,1.00,113
18,75 & Above,1.56,0.85,0.71,120,2.63,1.34,1.29,104
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": false, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
pak--1--2320--M0
|
What age groups have a value of between 5 and 10 for Males in 2017?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": true, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "2", "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": true, "Row Filter Num Of Conditions": "1", "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": "1", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": "", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
{20-24} || {25-29} || {30-34} || {35-39}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8\n0,Age Groups,1998 (*),__,__,__,2017,__,__,__\n1,__,Both Sexes,Male,Female,Sex Ratio,Both Sexes,Male,Female,Sex Ratio\n2,All Ages,129.18,67.22,61.95,109,207.68,106.34,101.34,105\n3,00-04,19.12,9.96,9.36,106,29.17,14.94,14.22,105\n4,05-09,20.22,10.57,9.64,110,30.03,15.64,14.38,109\n5,10-14,16.73,8.91,7.82,114,24.52,12.95,11.58,112\n6,15-19,13.40,6.91,6.49,106,21.37,11.10,10.27,108\n7,20-24,11.59,5.81,5.77,101,18.50,9.25,9.25,100\n8,25-29,9.52,4.88,4.64,105,16.40,7.94,8.46,94\n9,30-34,8.04,4.23,3.81,111,14.15,6.95,7.20,96\n10,35-39,6.17,3.25,2.91,112,12.05,6.09,5.96,102\n11,40-44,5.75,2.93,2.81,104,9.63,4.85,4.78,102\n12,45-49,4.56,2.36,2.20,107,7.93,4.06,3.87,105\n13,50-54,4.15,2.20,1.95,113,6.95,3.64,3.30,110\n14,55-59,2.78,1.51,1.27,119,4.97,2.65,2.33,114\n15,60-64,2.64,1.42,1.22,116,4.31,2.25,2.06,109\n16,65- 69,1.55,0.85,0.70,121,2.95,1.56,1.39,112\n17,70-74,1.41,0.78,0.63,123,2.13,1.13,1.00,113\n18,75 & Above,1.56,0.85,0.71,120,2.63,1.34,1.29,104\n` \\n\\nQuestion: `What age groups have a value of between 5 and 10 for Males in 2017?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8\n0,Age Groups,1998 (*),__,__,__,2017,__,__,__\n1,__,Both Sexes,Male,Female,Sex Ratio,Both Sexes,Male,Female,Sex Ratio\n2,All Ages,129.18,67.22,61.95,109,207.68,106.34,101.34,105\n3,00-04,19.12,9.96,9.36,106,29.17,14.94,14.22,105\n4,05-09,20.22,10.57,9.64,110,30.03,15.64,14.38,109\n5,10-14,16.73,8.91,7.82,114,24.52,12.95,11.58,112\n6,15-19,13.40,6.91,6.49,106,21.37,11.10,10.27,108\n7,20-24,11.59,5.81,5.77,101,18.50,9.25,9.25,100\n8,25-29,9.52,4.88,4.64,105,16.40,7.94,8.46,94\n9,30-34,8.04,4.23,3.81,111,14.15,6.95,7.20,96\n10,35-39,6.17,3.25,2.91,112,12.05,6.09,5.96,102\n11,40-44,5.75,2.93,2.81,104,9.63,4.85,4.78,102\n12,45-49,4.56,2.36,2.20,107,7.93,4.06,3.87,105\n13,50-54,4.15,2.20,1.95,113,6.95,3.64,3.30,110\n14,55-59,2.78,1.51,1.27,119,4.97,2.65,2.33,114\n15,60-64,2.64,1.42,1.22,116,4.31,2.25,2.06,109\n16,65- 69,1.55,0.85,0.70,121,2.95,1.56,1.39,112\n17,70-74,1.41,0.78,0.63,123,2.13,1.13,1.00,113\n18,75 & Above,1.56,0.85,0.71,120,2.63,1.34,1.29,104\n` \\n\\nQuestion: `What age groups have a value of between 5 and 10 for Males in 2017?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
pak--1--2320
|
./tables/csvs/pak--1--2320.csv
|
./tables/images/pak--1--2320.jpg
|
,0,1,2,3,4,5,6,7,8
0,Age Groups,1998 (*),__,__,__,2017,__,__,__
1,__,Both Sexes,Male,Female,Sex Ratio,Both Sexes,Male,Female,Sex Ratio
2,All Ages,129.18,67.22,61.95,109,207.68,106.34,101.34,105
3,00-04,19.12,9.96,9.36,106,29.17,14.94,14.22,105
4,05-09,20.22,10.57,9.64,110,30.03,15.64,14.38,109
5,10-14,16.73,8.91,7.82,114,24.52,12.95,11.58,112
6,15-19,13.40,6.91,6.49,106,21.37,11.10,10.27,108
7,20-24,11.59,5.81,5.77,101,18.50,9.25,9.25,100
8,25-29,9.52,4.88,4.64,105,16.40,7.94,8.46,94
9,30-34,8.04,4.23,3.81,111,14.15,6.95,7.20,96
10,35-39,6.17,3.25,2.91,112,12.05,6.09,5.96,102
11,40-44,5.75,2.93,2.81,104,9.63,4.85,4.78,102
12,45-49,4.56,2.36,2.20,107,7.93,4.06,3.87,105
13,50-54,4.15,2.20,1.95,113,6.95,3.64,3.30,110
14,55-59,2.78,1.51,1.27,119,4.97,2.65,2.33,114
15,60-64,2.64,1.42,1.22,116,4.31,2.25,2.06,109
16,65- 69,1.55,0.85,0.70,121,2.95,1.56,1.39,112
17,70-74,1.41,0.78,0.63,123,2.13,1.13,1.00,113
18,75 & Above,1.56,0.85,0.71,120,2.63,1.34,1.29,104
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": false, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
pak--1--2320--A2
|
What were the population figures for both sexes in the age groups where the sex ratio in 1998 was greater than 110?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": true, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": true, "Row Filter Num Of Conditions": 1, "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": 2, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{16.73} || {8.04} || {6.17} || {4.15} || {2.78} || {2.64} || {1.55} || {1.41} || {1.56}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8\n0,Age Groups,1998 (*),__,__,__,2017,__,__,__\n1,__,Both Sexes,Male,Female,Sex Ratio,Both Sexes,Male,Female,Sex Ratio\n2,All Ages,129.18,67.22,61.95,109,207.68,106.34,101.34,105\n3,00-04,19.12,9.96,9.36,106,29.17,14.94,14.22,105\n4,05-09,20.22,10.57,9.64,110,30.03,15.64,14.38,109\n5,10-14,16.73,8.91,7.82,114,24.52,12.95,11.58,112\n6,15-19,13.40,6.91,6.49,106,21.37,11.10,10.27,108\n7,20-24,11.59,5.81,5.77,101,18.50,9.25,9.25,100\n8,25-29,9.52,4.88,4.64,105,16.40,7.94,8.46,94\n9,30-34,8.04,4.23,3.81,111,14.15,6.95,7.20,96\n10,35-39,6.17,3.25,2.91,112,12.05,6.09,5.96,102\n11,40-44,5.75,2.93,2.81,104,9.63,4.85,4.78,102\n12,45-49,4.56,2.36,2.20,107,7.93,4.06,3.87,105\n13,50-54,4.15,2.20,1.95,113,6.95,3.64,3.30,110\n14,55-59,2.78,1.51,1.27,119,4.97,2.65,2.33,114\n15,60-64,2.64,1.42,1.22,116,4.31,2.25,2.06,109\n16,65- 69,1.55,0.85,0.70,121,2.95,1.56,1.39,112\n17,70-74,1.41,0.78,0.63,123,2.13,1.13,1.00,113\n18,75 & Above,1.56,0.85,0.71,120,2.63,1.34,1.29,104\n` \\n\\nQuestion: `What were the population figures for both sexes in the age groups where the sex ratio in 1998 was greater than 110?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8\n0,Age Groups,1998 (*),__,__,__,2017,__,__,__\n1,__,Both Sexes,Male,Female,Sex Ratio,Both Sexes,Male,Female,Sex Ratio\n2,All Ages,129.18,67.22,61.95,109,207.68,106.34,101.34,105\n3,00-04,19.12,9.96,9.36,106,29.17,14.94,14.22,105\n4,05-09,20.22,10.57,9.64,110,30.03,15.64,14.38,109\n5,10-14,16.73,8.91,7.82,114,24.52,12.95,11.58,112\n6,15-19,13.40,6.91,6.49,106,21.37,11.10,10.27,108\n7,20-24,11.59,5.81,5.77,101,18.50,9.25,9.25,100\n8,25-29,9.52,4.88,4.64,105,16.40,7.94,8.46,94\n9,30-34,8.04,4.23,3.81,111,14.15,6.95,7.20,96\n10,35-39,6.17,3.25,2.91,112,12.05,6.09,5.96,102\n11,40-44,5.75,2.93,2.81,104,9.63,4.85,4.78,102\n12,45-49,4.56,2.36,2.20,107,7.93,4.06,3.87,105\n13,50-54,4.15,2.20,1.95,113,6.95,3.64,3.30,110\n14,55-59,2.78,1.51,1.27,119,4.97,2.65,2.33,114\n15,60-64,2.64,1.42,1.22,116,4.31,2.25,2.06,109\n16,65- 69,1.55,0.85,0.70,121,2.95,1.56,1.39,112\n17,70-74,1.41,0.78,0.63,123,2.13,1.13,1.00,113\n18,75 & Above,1.56,0.85,0.71,120,2.63,1.34,1.29,104\n` \\n\\nQuestion: `What were the population figures for both sexes in the age groups where the sex ratio in 1998 was greater than 110?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
pak--1--2320
|
./tables/csvs/pak--1--2320.csv
|
./tables/images/pak--1--2320.jpg
|
,0,1,2,3,4,5,6,7,8
0,Age Groups,1998 (*),__,__,__,2017,__,__,__
1,__,Both Sexes,Male,Female,Sex Ratio,Both Sexes,Male,Female,Sex Ratio
2,All Ages,129.18,67.22,61.95,109,207.68,106.34,101.34,105
3,00-04,19.12,9.96,9.36,106,29.17,14.94,14.22,105
4,05-09,20.22,10.57,9.64,110,30.03,15.64,14.38,109
5,10-14,16.73,8.91,7.82,114,24.52,12.95,11.58,112
6,15-19,13.40,6.91,6.49,106,21.37,11.10,10.27,108
7,20-24,11.59,5.81,5.77,101,18.50,9.25,9.25,100
8,25-29,9.52,4.88,4.64,105,16.40,7.94,8.46,94
9,30-34,8.04,4.23,3.81,111,14.15,6.95,7.20,96
10,35-39,6.17,3.25,2.91,112,12.05,6.09,5.96,102
11,40-44,5.75,2.93,2.81,104,9.63,4.85,4.78,102
12,45-49,4.56,2.36,2.20,107,7.93,4.06,3.87,105
13,50-54,4.15,2.20,1.95,113,6.95,3.64,3.30,110
14,55-59,2.78,1.51,1.27,119,4.97,2.65,2.33,114
15,60-64,2.64,1.42,1.22,116,4.31,2.25,2.06,109
16,65- 69,1.55,0.85,0.70,121,2.95,1.56,1.39,112
17,70-74,1.41,0.78,0.63,123,2.13,1.13,1.00,113
18,75 & Above,1.56,0.85,0.71,120,2.63,1.34,1.29,104
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": false, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
pak--1--2320--A4
|
For the age group 35-39 in the year 1998, was the population of males greater than that of females?
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": false, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": false, "Returned Columns": false, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": false, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": false, "Yes/No": true, "Yes/No Scope Single": false, "Yes/No Scope Multiple": true, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
Yes
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8\n0,Age Groups,1998 (*),__,__,__,2017,__,__,__\n1,__,Both Sexes,Male,Female,Sex Ratio,Both Sexes,Male,Female,Sex Ratio\n2,All Ages,129.18,67.22,61.95,109,207.68,106.34,101.34,105\n3,00-04,19.12,9.96,9.36,106,29.17,14.94,14.22,105\n4,05-09,20.22,10.57,9.64,110,30.03,15.64,14.38,109\n5,10-14,16.73,8.91,7.82,114,24.52,12.95,11.58,112\n6,15-19,13.40,6.91,6.49,106,21.37,11.10,10.27,108\n7,20-24,11.59,5.81,5.77,101,18.50,9.25,9.25,100\n8,25-29,9.52,4.88,4.64,105,16.40,7.94,8.46,94\n9,30-34,8.04,4.23,3.81,111,14.15,6.95,7.20,96\n10,35-39,6.17,3.25,2.91,112,12.05,6.09,5.96,102\n11,40-44,5.75,2.93,2.81,104,9.63,4.85,4.78,102\n12,45-49,4.56,2.36,2.20,107,7.93,4.06,3.87,105\n13,50-54,4.15,2.20,1.95,113,6.95,3.64,3.30,110\n14,55-59,2.78,1.51,1.27,119,4.97,2.65,2.33,114\n15,60-64,2.64,1.42,1.22,116,4.31,2.25,2.06,109\n16,65- 69,1.55,0.85,0.70,121,2.95,1.56,1.39,112\n17,70-74,1.41,0.78,0.63,123,2.13,1.13,1.00,113\n18,75 & Above,1.56,0.85,0.71,120,2.63,1.34,1.29,104\n` \\n\\nQuestion: `For the age group 35-39 in the year 1998, was the population of males greater than that of females?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8\n0,Age Groups,1998 (*),__,__,__,2017,__,__,__\n1,__,Both Sexes,Male,Female,Sex Ratio,Both Sexes,Male,Female,Sex Ratio\n2,All Ages,129.18,67.22,61.95,109,207.68,106.34,101.34,105\n3,00-04,19.12,9.96,9.36,106,29.17,14.94,14.22,105\n4,05-09,20.22,10.57,9.64,110,30.03,15.64,14.38,109\n5,10-14,16.73,8.91,7.82,114,24.52,12.95,11.58,112\n6,15-19,13.40,6.91,6.49,106,21.37,11.10,10.27,108\n7,20-24,11.59,5.81,5.77,101,18.50,9.25,9.25,100\n8,25-29,9.52,4.88,4.64,105,16.40,7.94,8.46,94\n9,30-34,8.04,4.23,3.81,111,14.15,6.95,7.20,96\n10,35-39,6.17,3.25,2.91,112,12.05,6.09,5.96,102\n11,40-44,5.75,2.93,2.81,104,9.63,4.85,4.78,102\n12,45-49,4.56,2.36,2.20,107,7.93,4.06,3.87,105\n13,50-54,4.15,2.20,1.95,113,6.95,3.64,3.30,110\n14,55-59,2.78,1.51,1.27,119,4.97,2.65,2.33,114\n15,60-64,2.64,1.42,1.22,116,4.31,2.25,2.06,109\n16,65- 69,1.55,0.85,0.70,121,2.95,1.56,1.39,112\n17,70-74,1.41,0.78,0.63,123,2.13,1.13,1.00,113\n18,75 & Above,1.56,0.85,0.71,120,2.63,1.34,1.29,104\n` \\n\\nQuestion: `For the age group 35-39 in the year 1998, was the population of males greater than that of females?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
pak--1--2320
|
./tables/csvs/pak--1--2320.csv
|
./tables/images/pak--1--2320.jpg
|
,0,1,2,3,4,5,6,7,8
0,Age Groups,1998 (*),__,__,__,2017,__,__,__
1,__,Both Sexes,Male,Female,Sex Ratio,Both Sexes,Male,Female,Sex Ratio
2,All Ages,129.18,67.22,61.95,109,207.68,106.34,101.34,105
3,00-04,19.12,9.96,9.36,106,29.17,14.94,14.22,105
4,05-09,20.22,10.57,9.64,110,30.03,15.64,14.38,109
5,10-14,16.73,8.91,7.82,114,24.52,12.95,11.58,112
6,15-19,13.40,6.91,6.49,106,21.37,11.10,10.27,108
7,20-24,11.59,5.81,5.77,101,18.50,9.25,9.25,100
8,25-29,9.52,4.88,4.64,105,16.40,7.94,8.46,94
9,30-34,8.04,4.23,3.81,111,14.15,6.95,7.20,96
10,35-39,6.17,3.25,2.91,112,12.05,6.09,5.96,102
11,40-44,5.75,2.93,2.81,104,9.63,4.85,4.78,102
12,45-49,4.56,2.36,2.20,107,7.93,4.06,3.87,105
13,50-54,4.15,2.20,1.95,113,6.95,3.64,3.30,110
14,55-59,2.78,1.51,1.27,119,4.97,2.65,2.33,114
15,60-64,2.64,1.42,1.22,116,4.31,2.25,2.06,109
16,65- 69,1.55,0.85,0.70,121,2.95,1.56,1.39,112
17,70-74,1.41,0.78,0.63,123,2.13,1.13,1.00,113
18,75 & Above,1.56,0.85,0.71,120,2.63,1.34,1.29,104
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": false, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
pak--1--2320--A0
|
What was the population of both sexes in the age groups 00-04 and 10-14 in the year 1998?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": false, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": 1, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{19.12} || {16.73}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8\n0,Age Groups,1998 (*),__,__,__,2017,__,__,__\n1,__,Both Sexes,Male,Female,Sex Ratio,Both Sexes,Male,Female,Sex Ratio\n2,All Ages,129.18,67.22,61.95,109,207.68,106.34,101.34,105\n3,00-04,19.12,9.96,9.36,106,29.17,14.94,14.22,105\n4,05-09,20.22,10.57,9.64,110,30.03,15.64,14.38,109\n5,10-14,16.73,8.91,7.82,114,24.52,12.95,11.58,112\n6,15-19,13.40,6.91,6.49,106,21.37,11.10,10.27,108\n7,20-24,11.59,5.81,5.77,101,18.50,9.25,9.25,100\n8,25-29,9.52,4.88,4.64,105,16.40,7.94,8.46,94\n9,30-34,8.04,4.23,3.81,111,14.15,6.95,7.20,96\n10,35-39,6.17,3.25,2.91,112,12.05,6.09,5.96,102\n11,40-44,5.75,2.93,2.81,104,9.63,4.85,4.78,102\n12,45-49,4.56,2.36,2.20,107,7.93,4.06,3.87,105\n13,50-54,4.15,2.20,1.95,113,6.95,3.64,3.30,110\n14,55-59,2.78,1.51,1.27,119,4.97,2.65,2.33,114\n15,60-64,2.64,1.42,1.22,116,4.31,2.25,2.06,109\n16,65- 69,1.55,0.85,0.70,121,2.95,1.56,1.39,112\n17,70-74,1.41,0.78,0.63,123,2.13,1.13,1.00,113\n18,75 & Above,1.56,0.85,0.71,120,2.63,1.34,1.29,104\n` \\n\\nQuestion: `What was the population of both sexes in the age groups 00-04 and 10-14 in the year 1998?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8\n0,Age Groups,1998 (*),__,__,__,2017,__,__,__\n1,__,Both Sexes,Male,Female,Sex Ratio,Both Sexes,Male,Female,Sex Ratio\n2,All Ages,129.18,67.22,61.95,109,207.68,106.34,101.34,105\n3,00-04,19.12,9.96,9.36,106,29.17,14.94,14.22,105\n4,05-09,20.22,10.57,9.64,110,30.03,15.64,14.38,109\n5,10-14,16.73,8.91,7.82,114,24.52,12.95,11.58,112\n6,15-19,13.40,6.91,6.49,106,21.37,11.10,10.27,108\n7,20-24,11.59,5.81,5.77,101,18.50,9.25,9.25,100\n8,25-29,9.52,4.88,4.64,105,16.40,7.94,8.46,94\n9,30-34,8.04,4.23,3.81,111,14.15,6.95,7.20,96\n10,35-39,6.17,3.25,2.91,112,12.05,6.09,5.96,102\n11,40-44,5.75,2.93,2.81,104,9.63,4.85,4.78,102\n12,45-49,4.56,2.36,2.20,107,7.93,4.06,3.87,105\n13,50-54,4.15,2.20,1.95,113,6.95,3.64,3.30,110\n14,55-59,2.78,1.51,1.27,119,4.97,2.65,2.33,114\n15,60-64,2.64,1.42,1.22,116,4.31,2.25,2.06,109\n16,65- 69,1.55,0.85,0.70,121,2.95,1.56,1.39,112\n17,70-74,1.41,0.78,0.63,123,2.13,1.13,1.00,113\n18,75 & Above,1.56,0.85,0.71,120,2.63,1.34,1.29,104\n` \\n\\nQuestion: `What was the population of both sexes in the age groups 00-04 and 10-14 in the year 1998?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
pak--1--2320
|
./tables/csvs/pak--1--2320.csv
|
./tables/images/pak--1--2320.jpg
|
,0,1,2,3,4,5,6,7,8
0,Age Groups,1998 (*),__,__,__,2017,__,__,__
1,__,Both Sexes,Male,Female,Sex Ratio,Both Sexes,Male,Female,Sex Ratio
2,All Ages,129.18,67.22,61.95,109,207.68,106.34,101.34,105
3,00-04,19.12,9.96,9.36,106,29.17,14.94,14.22,105
4,05-09,20.22,10.57,9.64,110,30.03,15.64,14.38,109
5,10-14,16.73,8.91,7.82,114,24.52,12.95,11.58,112
6,15-19,13.40,6.91,6.49,106,21.37,11.10,10.27,108
7,20-24,11.59,5.81,5.77,101,18.50,9.25,9.25,100
8,25-29,9.52,4.88,4.64,105,16.40,7.94,8.46,94
9,30-34,8.04,4.23,3.81,111,14.15,6.95,7.20,96
10,35-39,6.17,3.25,2.91,112,12.05,6.09,5.96,102
11,40-44,5.75,2.93,2.81,104,9.63,4.85,4.78,102
12,45-49,4.56,2.36,2.20,107,7.93,4.06,3.87,105
13,50-54,4.15,2.20,1.95,113,6.95,3.64,3.30,110
14,55-59,2.78,1.51,1.27,119,4.97,2.65,2.33,114
15,60-64,2.64,1.42,1.22,116,4.31,2.25,2.06,109
16,65- 69,1.55,0.85,0.70,121,2.95,1.56,1.39,112
17,70-74,1.41,0.78,0.63,123,2.13,1.13,1.00,113
18,75 & Above,1.56,0.85,0.71,120,2.63,1.34,1.29,104
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": false, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
pak--1--2320--A3
|
What are the top 3 age groups with the highest population for both sexes in 2017 and what are those population values?
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": false, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": false, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": 2, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": true, "Rank Rank On Plain": true, "Rank Rank On Expression": false, "Rank Report Top": 3}
|
{05-09 | 30.03} || {00-04 | 29.17} || {10-14 | 24.52}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8\n0,Age Groups,1998 (*),__,__,__,2017,__,__,__\n1,__,Both Sexes,Male,Female,Sex Ratio,Both Sexes,Male,Female,Sex Ratio\n2,All Ages,129.18,67.22,61.95,109,207.68,106.34,101.34,105\n3,00-04,19.12,9.96,9.36,106,29.17,14.94,14.22,105\n4,05-09,20.22,10.57,9.64,110,30.03,15.64,14.38,109\n5,10-14,16.73,8.91,7.82,114,24.52,12.95,11.58,112\n6,15-19,13.40,6.91,6.49,106,21.37,11.10,10.27,108\n7,20-24,11.59,5.81,5.77,101,18.50,9.25,9.25,100\n8,25-29,9.52,4.88,4.64,105,16.40,7.94,8.46,94\n9,30-34,8.04,4.23,3.81,111,14.15,6.95,7.20,96\n10,35-39,6.17,3.25,2.91,112,12.05,6.09,5.96,102\n11,40-44,5.75,2.93,2.81,104,9.63,4.85,4.78,102\n12,45-49,4.56,2.36,2.20,107,7.93,4.06,3.87,105\n13,50-54,4.15,2.20,1.95,113,6.95,3.64,3.30,110\n14,55-59,2.78,1.51,1.27,119,4.97,2.65,2.33,114\n15,60-64,2.64,1.42,1.22,116,4.31,2.25,2.06,109\n16,65- 69,1.55,0.85,0.70,121,2.95,1.56,1.39,112\n17,70-74,1.41,0.78,0.63,123,2.13,1.13,1.00,113\n18,75 & Above,1.56,0.85,0.71,120,2.63,1.34,1.29,104\n` \\n\\nQuestion: `What are the top 3 age groups with the highest population for both sexes in 2017 and what are those population values?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8\n0,Age Groups,1998 (*),__,__,__,2017,__,__,__\n1,__,Both Sexes,Male,Female,Sex Ratio,Both Sexes,Male,Female,Sex Ratio\n2,All Ages,129.18,67.22,61.95,109,207.68,106.34,101.34,105\n3,00-04,19.12,9.96,9.36,106,29.17,14.94,14.22,105\n4,05-09,20.22,10.57,9.64,110,30.03,15.64,14.38,109\n5,10-14,16.73,8.91,7.82,114,24.52,12.95,11.58,112\n6,15-19,13.40,6.91,6.49,106,21.37,11.10,10.27,108\n7,20-24,11.59,5.81,5.77,101,18.50,9.25,9.25,100\n8,25-29,9.52,4.88,4.64,105,16.40,7.94,8.46,94\n9,30-34,8.04,4.23,3.81,111,14.15,6.95,7.20,96\n10,35-39,6.17,3.25,2.91,112,12.05,6.09,5.96,102\n11,40-44,5.75,2.93,2.81,104,9.63,4.85,4.78,102\n12,45-49,4.56,2.36,2.20,107,7.93,4.06,3.87,105\n13,50-54,4.15,2.20,1.95,113,6.95,3.64,3.30,110\n14,55-59,2.78,1.51,1.27,119,4.97,2.65,2.33,114\n15,60-64,2.64,1.42,1.22,116,4.31,2.25,2.06,109\n16,65- 69,1.55,0.85,0.70,121,2.95,1.56,1.39,112\n17,70-74,1.41,0.78,0.63,123,2.13,1.13,1.00,113\n18,75 & Above,1.56,0.85,0.71,120,2.63,1.34,1.29,104\n` \\n\\nQuestion: `What are the top 3 age groups with the highest population for both sexes in 2017 and what are those population values?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
pak--1--2320
|
./tables/csvs/pak--1--2320.csv
|
./tables/images/pak--1--2320.jpg
|
,0,1,2,3,4,5,6,7,8
0,Age Groups,1998 (*),__,__,__,2017,__,__,__
1,__,Both Sexes,Male,Female,Sex Ratio,Both Sexes,Male,Female,Sex Ratio
2,All Ages,129.18,67.22,61.95,109,207.68,106.34,101.34,105
3,00-04,19.12,9.96,9.36,106,29.17,14.94,14.22,105
4,05-09,20.22,10.57,9.64,110,30.03,15.64,14.38,109
5,10-14,16.73,8.91,7.82,114,24.52,12.95,11.58,112
6,15-19,13.40,6.91,6.49,106,21.37,11.10,10.27,108
7,20-24,11.59,5.81,5.77,101,18.50,9.25,9.25,100
8,25-29,9.52,4.88,4.64,105,16.40,7.94,8.46,94
9,30-34,8.04,4.23,3.81,111,14.15,6.95,7.20,96
10,35-39,6.17,3.25,2.91,112,12.05,6.09,5.96,102
11,40-44,5.75,2.93,2.81,104,9.63,4.85,4.78,102
12,45-49,4.56,2.36,2.20,107,7.93,4.06,3.87,105
13,50-54,4.15,2.20,1.95,113,6.95,3.64,3.30,110
14,55-59,2.78,1.51,1.27,119,4.97,2.65,2.33,114
15,60-64,2.64,1.42,1.22,116,4.31,2.25,2.06,109
16,65- 69,1.55,0.85,0.70,121,2.95,1.56,1.39,112
17,70-74,1.41,0.78,0.63,123,2.13,1.13,1.00,113
18,75 & Above,1.56,0.85,0.71,120,2.63,1.34,1.29,104
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": false, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
pak--1--2320--A5
|
For the age groups where the Sex Ratio in 1998 was greater than 110, what is the difference in population between males and females in 2017?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": true, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": true, "Row Filter Num Of Conditions": 1, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": 1, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{1.37} || {-0.25} || {0.13} || {0.34} || {0.32} || {0.19} || {0.17} || {0.13} || {0.05}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8\n0,Age Groups,1998 (*),__,__,__,2017,__,__,__\n1,__,Both Sexes,Male,Female,Sex Ratio,Both Sexes,Male,Female,Sex Ratio\n2,All Ages,129.18,67.22,61.95,109,207.68,106.34,101.34,105\n3,00-04,19.12,9.96,9.36,106,29.17,14.94,14.22,105\n4,05-09,20.22,10.57,9.64,110,30.03,15.64,14.38,109\n5,10-14,16.73,8.91,7.82,114,24.52,12.95,11.58,112\n6,15-19,13.40,6.91,6.49,106,21.37,11.10,10.27,108\n7,20-24,11.59,5.81,5.77,101,18.50,9.25,9.25,100\n8,25-29,9.52,4.88,4.64,105,16.40,7.94,8.46,94\n9,30-34,8.04,4.23,3.81,111,14.15,6.95,7.20,96\n10,35-39,6.17,3.25,2.91,112,12.05,6.09,5.96,102\n11,40-44,5.75,2.93,2.81,104,9.63,4.85,4.78,102\n12,45-49,4.56,2.36,2.20,107,7.93,4.06,3.87,105\n13,50-54,4.15,2.20,1.95,113,6.95,3.64,3.30,110\n14,55-59,2.78,1.51,1.27,119,4.97,2.65,2.33,114\n15,60-64,2.64,1.42,1.22,116,4.31,2.25,2.06,109\n16,65- 69,1.55,0.85,0.70,121,2.95,1.56,1.39,112\n17,70-74,1.41,0.78,0.63,123,2.13,1.13,1.00,113\n18,75 & Above,1.56,0.85,0.71,120,2.63,1.34,1.29,104\n` \\n\\nQuestion: `For the age groups where the Sex Ratio in 1998 was greater than 110, what is the difference in population between males and females in 2017?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8\n0,Age Groups,1998 (*),__,__,__,2017,__,__,__\n1,__,Both Sexes,Male,Female,Sex Ratio,Both Sexes,Male,Female,Sex Ratio\n2,All Ages,129.18,67.22,61.95,109,207.68,106.34,101.34,105\n3,00-04,19.12,9.96,9.36,106,29.17,14.94,14.22,105\n4,05-09,20.22,10.57,9.64,110,30.03,15.64,14.38,109\n5,10-14,16.73,8.91,7.82,114,24.52,12.95,11.58,112\n6,15-19,13.40,6.91,6.49,106,21.37,11.10,10.27,108\n7,20-24,11.59,5.81,5.77,101,18.50,9.25,9.25,100\n8,25-29,9.52,4.88,4.64,105,16.40,7.94,8.46,94\n9,30-34,8.04,4.23,3.81,111,14.15,6.95,7.20,96\n10,35-39,6.17,3.25,2.91,112,12.05,6.09,5.96,102\n11,40-44,5.75,2.93,2.81,104,9.63,4.85,4.78,102\n12,45-49,4.56,2.36,2.20,107,7.93,4.06,3.87,105\n13,50-54,4.15,2.20,1.95,113,6.95,3.64,3.30,110\n14,55-59,2.78,1.51,1.27,119,4.97,2.65,2.33,114\n15,60-64,2.64,1.42,1.22,116,4.31,2.25,2.06,109\n16,65- 69,1.55,0.85,0.70,121,2.95,1.56,1.39,112\n17,70-74,1.41,0.78,0.63,123,2.13,1.13,1.00,113\n18,75 & Above,1.56,0.85,0.71,120,2.63,1.34,1.29,104\n` \\n\\nQuestion: `For the age groups where the Sex Ratio in 1998 was greater than 110, what is the difference in population between males and females in 2017?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
psa--1--945
|
./tables/csvs/psa--1--945.csv
|
./tables/images/psa--1--945.jpg
|
,0,1,2,3,4,5,6,7,8,9,10,11,12,13
0,Age Group of Wife (in Years) Age Group of Husband (in Years),Total,N.S,60,59-55,54-50,49-45,44-40,39-35,34-30,29-25,24-20,-20,() ()
1,-20,40,0,0,0,0,0,0,0,0,3,13,24,-
2,20 - 24,888,0,0,0,0,0,0,4,13,70,542,259,-
3,25 - 29,"1,370",0,0,0,0,1,7,27,89,451,641,154,-
4,30 - 34,703,0,0,0,1,5,9,41,166,299,159,23,-
5,35 - 39,314,0,0,0,3,7,20,68,103,90,23,0,-
6,40 - 44,158,0,0,0,3,7,20,42,52,29,4,1,-
7,45 - 49,105,0,0,1,2,10,23,18,35,16,0,0,-
8,50 - 54,74,0,0,2,6,15,16,16,11,7,0,1,-
9,55 - 59,29,0,0,3,3,3,4,7,4,4,1,0,-
10,60 - 64,20,0,1,2,2,1,5,2,3,2,2,0,-
11,65 - 69,7,0,0,1,0,4,1,1,0,0,0,0,-
12,70 - 74,7,0,0,0,2,0,3,0,1,0,1,0,-
13,75 +,2,0,0,0,0,1,1,0,0,0,0,0,+ Vo
14,Not Stated,1,0,0,0,0,0,0,0,0,0,1,0,
15,Total,"3,718",0,1,9,22,54,109,226,477,971,"1,387",462,
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
psa--1--945--A1
|
How many marriages were there where the age group of the wife was greater than 30 years?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": true, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": true, "Row Filter Num Of Conditions": 1, "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": 1, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{898}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10,11,12,13\n0,Age Group of Wife (in Years) Age Group of Husband (in Years),Total,N.S,60,59-55,54-50,49-45,44-40,39-35,34-30,29-25,24-20,-20,() ()\n1,-20,40,0,0,0,0,0,0,0,0,3,13,24,-\n2,20 - 24,888,0,0,0,0,0,0,4,13,70,542,259,-\n3,25 - 29,\"1,370\",0,0,0,0,1,7,27,89,451,641,154,-\n4,30 - 34,703,0,0,0,1,5,9,41,166,299,159,23,-\n5,35 - 39,314,0,0,0,3,7,20,68,103,90,23,0,-\n6,40 - 44,158,0,0,0,3,7,20,42,52,29,4,1,-\n7,45 - 49,105,0,0,1,2,10,23,18,35,16,0,0,-\n8,50 - 54,74,0,0,2,6,15,16,16,11,7,0,1,-\n9,55 - 59,29,0,0,3,3,3,4,7,4,4,1,0,-\n10,60 - 64,20,0,1,2,2,1,5,2,3,2,2,0,-\n11,65 - 69,7,0,0,1,0,4,1,1,0,0,0,0,-\n12,70 - 74,7,0,0,0,2,0,3,0,1,0,1,0,-\n13,75 +,2,0,0,0,0,1,1,0,0,0,0,0,+ Vo\n14,Not Stated,1,0,0,0,0,0,0,0,0,0,1,0,\n15,Total,\"3,718\",0,1,9,22,54,109,226,477,971,\"1,387\",462,\n` \\n\\nQuestion: `How many marriages were there where the age group of the wife was greater than 30 years?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10,11,12,13\n0,Age Group of Wife (in Years) Age Group of Husband (in Years),Total,N.S,60,59-55,54-50,49-45,44-40,39-35,34-30,29-25,24-20,-20,() ()\n1,-20,40,0,0,0,0,0,0,0,0,3,13,24,-\n2,20 - 24,888,0,0,0,0,0,0,4,13,70,542,259,-\n3,25 - 29,\"1,370\",0,0,0,0,1,7,27,89,451,641,154,-\n4,30 - 34,703,0,0,0,1,5,9,41,166,299,159,23,-\n5,35 - 39,314,0,0,0,3,7,20,68,103,90,23,0,-\n6,40 - 44,158,0,0,0,3,7,20,42,52,29,4,1,-\n7,45 - 49,105,0,0,1,2,10,23,18,35,16,0,0,-\n8,50 - 54,74,0,0,2,6,15,16,16,11,7,0,1,-\n9,55 - 59,29,0,0,3,3,3,4,7,4,4,1,0,-\n10,60 - 64,20,0,1,2,2,1,5,2,3,2,2,0,-\n11,65 - 69,7,0,0,1,0,4,1,1,0,0,0,0,-\n12,70 - 74,7,0,0,0,2,0,3,0,1,0,1,0,-\n13,75 +,2,0,0,0,0,1,1,0,0,0,0,0,+ Vo\n14,Not Stated,1,0,0,0,0,0,0,0,0,0,1,0,\n15,Total,\"3,718\",0,1,9,22,54,109,226,477,971,\"1,387\",462,\n` \\n\\nQuestion: `How many marriages were there where the age group of the wife was greater than 30 years?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
psa--1--945
|
./tables/csvs/psa--1--945.csv
|
./tables/images/psa--1--945.jpg
|
,0,1,2,3,4,5,6,7,8,9,10,11,12,13
0,Age Group of Wife (in Years) Age Group of Husband (in Years),Total,N.S,60,59-55,54-50,49-45,44-40,39-35,34-30,29-25,24-20,-20,() ()
1,-20,40,0,0,0,0,0,0,0,0,3,13,24,-
2,20 - 24,888,0,0,0,0,0,0,4,13,70,542,259,-
3,25 - 29,"1,370",0,0,0,0,1,7,27,89,451,641,154,-
4,30 - 34,703,0,0,0,1,5,9,41,166,299,159,23,-
5,35 - 39,314,0,0,0,3,7,20,68,103,90,23,0,-
6,40 - 44,158,0,0,0,3,7,20,42,52,29,4,1,-
7,45 - 49,105,0,0,1,2,10,23,18,35,16,0,0,-
8,50 - 54,74,0,0,2,6,15,16,16,11,7,0,1,-
9,55 - 59,29,0,0,3,3,3,4,7,4,4,1,0,-
10,60 - 64,20,0,1,2,2,1,5,2,3,2,2,0,-
11,65 - 69,7,0,0,1,0,4,1,1,0,0,0,0,-
12,70 - 74,7,0,0,0,2,0,3,0,1,0,1,0,-
13,75 +,2,0,0,0,0,1,1,0,0,0,0,0,+ Vo
14,Not Stated,1,0,0,0,0,0,0,0,0,0,1,0,
15,Total,"3,718",0,1,9,22,54,109,226,477,971,"1,387",462,
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
psa--1--945--A3
|
What were the number of marriages for the age groups of husbands 25-29, 30-34, and 35-39 when the age group of wives was 20-24 for the columns '29-25' and '34-30'?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": false, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": 2, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{641 | 451 | 89} || {159 | 299 | 166} || {23 | 90 | 103}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10,11,12,13\n0,Age Group of Wife (in Years) Age Group of Husband (in Years),Total,N.S,60,59-55,54-50,49-45,44-40,39-35,34-30,29-25,24-20,-20,() ()\n1,-20,40,0,0,0,0,0,0,0,0,3,13,24,-\n2,20 - 24,888,0,0,0,0,0,0,4,13,70,542,259,-\n3,25 - 29,\"1,370\",0,0,0,0,1,7,27,89,451,641,154,-\n4,30 - 34,703,0,0,0,1,5,9,41,166,299,159,23,-\n5,35 - 39,314,0,0,0,3,7,20,68,103,90,23,0,-\n6,40 - 44,158,0,0,0,3,7,20,42,52,29,4,1,-\n7,45 - 49,105,0,0,1,2,10,23,18,35,16,0,0,-\n8,50 - 54,74,0,0,2,6,15,16,16,11,7,0,1,-\n9,55 - 59,29,0,0,3,3,3,4,7,4,4,1,0,-\n10,60 - 64,20,0,1,2,2,1,5,2,3,2,2,0,-\n11,65 - 69,7,0,0,1,0,4,1,1,0,0,0,0,-\n12,70 - 74,7,0,0,0,2,0,3,0,1,0,1,0,-\n13,75 +,2,0,0,0,0,1,1,0,0,0,0,0,+ Vo\n14,Not Stated,1,0,0,0,0,0,0,0,0,0,1,0,\n15,Total,\"3,718\",0,1,9,22,54,109,226,477,971,\"1,387\",462,\n` \\n\\nQuestion: `What were the number of marriages for the age groups of husbands 25-29, 30-34, and 35-39 when the age group of wives was 20-24 for the columns '29-25' and '34-30'?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10,11,12,13\n0,Age Group of Wife (in Years) Age Group of Husband (in Years),Total,N.S,60,59-55,54-50,49-45,44-40,39-35,34-30,29-25,24-20,-20,() ()\n1,-20,40,0,0,0,0,0,0,0,0,3,13,24,-\n2,20 - 24,888,0,0,0,0,0,0,4,13,70,542,259,-\n3,25 - 29,\"1,370\",0,0,0,0,1,7,27,89,451,641,154,-\n4,30 - 34,703,0,0,0,1,5,9,41,166,299,159,23,-\n5,35 - 39,314,0,0,0,3,7,20,68,103,90,23,0,-\n6,40 - 44,158,0,0,0,3,7,20,42,52,29,4,1,-\n7,45 - 49,105,0,0,1,2,10,23,18,35,16,0,0,-\n8,50 - 54,74,0,0,2,6,15,16,16,11,7,0,1,-\n9,55 - 59,29,0,0,3,3,3,4,7,4,4,1,0,-\n10,60 - 64,20,0,1,2,2,1,5,2,3,2,2,0,-\n11,65 - 69,7,0,0,1,0,4,1,1,0,0,0,0,-\n12,70 - 74,7,0,0,0,2,0,3,0,1,0,1,0,-\n13,75 +,2,0,0,0,0,1,1,0,0,0,0,0,+ Vo\n14,Not Stated,1,0,0,0,0,0,0,0,0,0,1,0,\n15,Total,\"3,718\",0,1,9,22,54,109,226,477,971,\"1,387\",462,\n` \\n\\nQuestion: `What were the number of marriages for the age groups of husbands 25-29, 30-34, and 35-39 when the age group of wives was 20-24 for the columns '29-25' and '34-30'?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
psa--1--945
|
./tables/csvs/psa--1--945.csv
|
./tables/images/psa--1--945.jpg
|
,0,1,2,3,4,5,6,7,8,9,10,11,12,13
0,Age Group of Wife (in Years) Age Group of Husband (in Years),Total,N.S,60,59-55,54-50,49-45,44-40,39-35,34-30,29-25,24-20,-20,() ()
1,-20,40,0,0,0,0,0,0,0,0,3,13,24,-
2,20 - 24,888,0,0,0,0,0,0,4,13,70,542,259,-
3,25 - 29,"1,370",0,0,0,0,1,7,27,89,451,641,154,-
4,30 - 34,703,0,0,0,1,5,9,41,166,299,159,23,-
5,35 - 39,314,0,0,0,3,7,20,68,103,90,23,0,-
6,40 - 44,158,0,0,0,3,7,20,42,52,29,4,1,-
7,45 - 49,105,0,0,1,2,10,23,18,35,16,0,0,-
8,50 - 54,74,0,0,2,6,15,16,16,11,7,0,1,-
9,55 - 59,29,0,0,3,3,3,4,7,4,4,1,0,-
10,60 - 64,20,0,1,2,2,1,5,2,3,2,2,0,-
11,65 - 69,7,0,0,1,0,4,1,1,0,0,0,0,-
12,70 - 74,7,0,0,0,2,0,3,0,1,0,1,0,-
13,75 +,2,0,0,0,0,1,1,0,0,0,0,0,+ Vo
14,Not Stated,1,0,0,0,0,0,0,0,0,0,1,0,
15,Total,"3,718",0,1,9,22,54,109,226,477,971,"1,387",462,
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
psa--1--945--A4
|
What is the average number of marriages where the age group of the wife is between 20-24 years?
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": false, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": false, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": 1, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": true, "Aggregation Aggregation On Plain": true, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": true, "Aggregation Grouping Local": false, "Aggregation Grouping Global": true, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": true, "Aggregation Num Of Aggregations": 1, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{99.07}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10,11,12,13\n0,Age Group of Wife (in Years) Age Group of Husband (in Years),Total,N.S,60,59-55,54-50,49-45,44-40,39-35,34-30,29-25,24-20,-20,() ()\n1,-20,40,0,0,0,0,0,0,0,0,3,13,24,-\n2,20 - 24,888,0,0,0,0,0,0,4,13,70,542,259,-\n3,25 - 29,\"1,370\",0,0,0,0,1,7,27,89,451,641,154,-\n4,30 - 34,703,0,0,0,1,5,9,41,166,299,159,23,-\n5,35 - 39,314,0,0,0,3,7,20,68,103,90,23,0,-\n6,40 - 44,158,0,0,0,3,7,20,42,52,29,4,1,-\n7,45 - 49,105,0,0,1,2,10,23,18,35,16,0,0,-\n8,50 - 54,74,0,0,2,6,15,16,16,11,7,0,1,-\n9,55 - 59,29,0,0,3,3,3,4,7,4,4,1,0,-\n10,60 - 64,20,0,1,2,2,1,5,2,3,2,2,0,-\n11,65 - 69,7,0,0,1,0,4,1,1,0,0,0,0,-\n12,70 - 74,7,0,0,0,2,0,3,0,1,0,1,0,-\n13,75 +,2,0,0,0,0,1,1,0,0,0,0,0,+ Vo\n14,Not Stated,1,0,0,0,0,0,0,0,0,0,1,0,\n15,Total,\"3,718\",0,1,9,22,54,109,226,477,971,\"1,387\",462,\n` \\n\\nQuestion: `What is the average number of marriages where the age group of the wife is between 20-24 years?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10,11,12,13\n0,Age Group of Wife (in Years) Age Group of Husband (in Years),Total,N.S,60,59-55,54-50,49-45,44-40,39-35,34-30,29-25,24-20,-20,() ()\n1,-20,40,0,0,0,0,0,0,0,0,3,13,24,-\n2,20 - 24,888,0,0,0,0,0,0,4,13,70,542,259,-\n3,25 - 29,\"1,370\",0,0,0,0,1,7,27,89,451,641,154,-\n4,30 - 34,703,0,0,0,1,5,9,41,166,299,159,23,-\n5,35 - 39,314,0,0,0,3,7,20,68,103,90,23,0,-\n6,40 - 44,158,0,0,0,3,7,20,42,52,29,4,1,-\n7,45 - 49,105,0,0,1,2,10,23,18,35,16,0,0,-\n8,50 - 54,74,0,0,2,6,15,16,16,11,7,0,1,-\n9,55 - 59,29,0,0,3,3,3,4,7,4,4,1,0,-\n10,60 - 64,20,0,1,2,2,1,5,2,3,2,2,0,-\n11,65 - 69,7,0,0,1,0,4,1,1,0,0,0,0,-\n12,70 - 74,7,0,0,0,2,0,3,0,1,0,1,0,-\n13,75 +,2,0,0,0,0,1,1,0,0,0,0,0,+ Vo\n14,Not Stated,1,0,0,0,0,0,0,0,0,0,1,0,\n15,Total,\"3,718\",0,1,9,22,54,109,226,477,971,\"1,387\",462,\n` \\n\\nQuestion: `What is the average number of marriages where the age group of the wife is between 20-24 years?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
psa--1--945
|
./tables/csvs/psa--1--945.csv
|
./tables/images/psa--1--945.jpg
|
,0,1,2,3,4,5,6,7,8,9,10,11,12,13
0,Age Group of Wife (in Years) Age Group of Husband (in Years),Total,N.S,60,59-55,54-50,49-45,44-40,39-35,34-30,29-25,24-20,-20,() ()
1,-20,40,0,0,0,0,0,0,0,0,3,13,24,-
2,20 - 24,888,0,0,0,0,0,0,4,13,70,542,259,-
3,25 - 29,"1,370",0,0,0,0,1,7,27,89,451,641,154,-
4,30 - 34,703,0,0,0,1,5,9,41,166,299,159,23,-
5,35 - 39,314,0,0,0,3,7,20,68,103,90,23,0,-
6,40 - 44,158,0,0,0,3,7,20,42,52,29,4,1,-
7,45 - 49,105,0,0,1,2,10,23,18,35,16,0,0,-
8,50 - 54,74,0,0,2,6,15,16,16,11,7,0,1,-
9,55 - 59,29,0,0,3,3,3,4,7,4,4,1,0,-
10,60 - 64,20,0,1,2,2,1,5,2,3,2,2,0,-
11,65 - 69,7,0,0,1,0,4,1,1,0,0,0,0,-
12,70 - 74,7,0,0,0,2,0,3,0,1,0,1,0,-
13,75 +,2,0,0,0,0,1,1,0,0,0,0,0,+ Vo
14,Not Stated,1,0,0,0,0,0,0,0,0,0,1,0,
15,Total,"3,718",0,1,9,22,54,109,226,477,971,"1,387",462,
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
psa--1--945--A2
|
What are the age groups of husbands who married wives aged 25-29 years with the number of marriages greater than 100?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": true, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": true, "Row Filter Num Of Conditions": 1, "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": 1, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{25-29} || {30-34}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10,11,12,13\n0,Age Group of Wife (in Years) Age Group of Husband (in Years),Total,N.S,60,59-55,54-50,49-45,44-40,39-35,34-30,29-25,24-20,-20,() ()\n1,-20,40,0,0,0,0,0,0,0,0,3,13,24,-\n2,20 - 24,888,0,0,0,0,0,0,4,13,70,542,259,-\n3,25 - 29,\"1,370\",0,0,0,0,1,7,27,89,451,641,154,-\n4,30 - 34,703,0,0,0,1,5,9,41,166,299,159,23,-\n5,35 - 39,314,0,0,0,3,7,20,68,103,90,23,0,-\n6,40 - 44,158,0,0,0,3,7,20,42,52,29,4,1,-\n7,45 - 49,105,0,0,1,2,10,23,18,35,16,0,0,-\n8,50 - 54,74,0,0,2,6,15,16,16,11,7,0,1,-\n9,55 - 59,29,0,0,3,3,3,4,7,4,4,1,0,-\n10,60 - 64,20,0,1,2,2,1,5,2,3,2,2,0,-\n11,65 - 69,7,0,0,1,0,4,1,1,0,0,0,0,-\n12,70 - 74,7,0,0,0,2,0,3,0,1,0,1,0,-\n13,75 +,2,0,0,0,0,1,1,0,0,0,0,0,+ Vo\n14,Not Stated,1,0,0,0,0,0,0,0,0,0,1,0,\n15,Total,\"3,718\",0,1,9,22,54,109,226,477,971,\"1,387\",462,\n` \\n\\nQuestion: `What are the age groups of husbands who married wives aged 25-29 years with the number of marriages greater than 100?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10,11,12,13\n0,Age Group of Wife (in Years) Age Group of Husband (in Years),Total,N.S,60,59-55,54-50,49-45,44-40,39-35,34-30,29-25,24-20,-20,() ()\n1,-20,40,0,0,0,0,0,0,0,0,3,13,24,-\n2,20 - 24,888,0,0,0,0,0,0,4,13,70,542,259,-\n3,25 - 29,\"1,370\",0,0,0,0,1,7,27,89,451,641,154,-\n4,30 - 34,703,0,0,0,1,5,9,41,166,299,159,23,-\n5,35 - 39,314,0,0,0,3,7,20,68,103,90,23,0,-\n6,40 - 44,158,0,0,0,3,7,20,42,52,29,4,1,-\n7,45 - 49,105,0,0,1,2,10,23,18,35,16,0,0,-\n8,50 - 54,74,0,0,2,6,15,16,16,11,7,0,1,-\n9,55 - 59,29,0,0,3,3,3,4,7,4,4,1,0,-\n10,60 - 64,20,0,1,2,2,1,5,2,3,2,2,0,-\n11,65 - 69,7,0,0,1,0,4,1,1,0,0,0,0,-\n12,70 - 74,7,0,0,0,2,0,3,0,1,0,1,0,-\n13,75 +,2,0,0,0,0,1,1,0,0,0,0,0,+ Vo\n14,Not Stated,1,0,0,0,0,0,0,0,0,0,1,0,\n15,Total,\"3,718\",0,1,9,22,54,109,226,477,971,\"1,387\",462,\n` \\n\\nQuestion: `What are the age groups of husbands who married wives aged 25-29 years with the number of marriages greater than 100?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
psa--1--945
|
./tables/csvs/psa--1--945.csv
|
./tables/images/psa--1--945.jpg
|
,0,1,2,3,4,5,6,7,8,9,10,11,12,13
0,Age Group of Wife (in Years) Age Group of Husband (in Years),Total,N.S,60,59-55,54-50,49-45,44-40,39-35,34-30,29-25,24-20,-20,() ()
1,-20,40,0,0,0,0,0,0,0,0,3,13,24,-
2,20 - 24,888,0,0,0,0,0,0,4,13,70,542,259,-
3,25 - 29,"1,370",0,0,0,0,1,7,27,89,451,641,154,-
4,30 - 34,703,0,0,0,1,5,9,41,166,299,159,23,-
5,35 - 39,314,0,0,0,3,7,20,68,103,90,23,0,-
6,40 - 44,158,0,0,0,3,7,20,42,52,29,4,1,-
7,45 - 49,105,0,0,1,2,10,23,18,35,16,0,0,-
8,50 - 54,74,0,0,2,6,15,16,16,11,7,0,1,-
9,55 - 59,29,0,0,3,3,3,4,7,4,4,1,0,-
10,60 - 64,20,0,1,2,2,1,5,2,3,2,2,0,-
11,65 - 69,7,0,0,1,0,4,1,1,0,0,0,0,-
12,70 - 74,7,0,0,0,2,0,3,0,1,0,1,0,-
13,75 +,2,0,0,0,0,1,1,0,0,0,0,0,+ Vo
14,Not Stated,1,0,0,0,0,0,0,0,0,0,1,0,
15,Total,"3,718",0,1,9,22,54,109,226,477,971,"1,387",462,
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
psa--1--945--M1
|
Report the three largest values Wife Age Group 24-20
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "", "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "", "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": "1", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": "", "Rank": true, "Rank Rank On Plain": true, "Rank Rank On Expression": false, "Rank Report Top": "3"}
|
{641} || {542} || {159}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10,11,12,13\n0,Age Group of Wife (in Years) Age Group of Husband (in Years),Total,N.S,60,59-55,54-50,49-45,44-40,39-35,34-30,29-25,24-20,-20,() ()\n1,-20,40,0,0,0,0,0,0,0,0,3,13,24,-\n2,20 - 24,888,0,0,0,0,0,0,4,13,70,542,259,-\n3,25 - 29,\"1,370\",0,0,0,0,1,7,27,89,451,641,154,-\n4,30 - 34,703,0,0,0,1,5,9,41,166,299,159,23,-\n5,35 - 39,314,0,0,0,3,7,20,68,103,90,23,0,-\n6,40 - 44,158,0,0,0,3,7,20,42,52,29,4,1,-\n7,45 - 49,105,0,0,1,2,10,23,18,35,16,0,0,-\n8,50 - 54,74,0,0,2,6,15,16,16,11,7,0,1,-\n9,55 - 59,29,0,0,3,3,3,4,7,4,4,1,0,-\n10,60 - 64,20,0,1,2,2,1,5,2,3,2,2,0,-\n11,65 - 69,7,0,0,1,0,4,1,1,0,0,0,0,-\n12,70 - 74,7,0,0,0,2,0,3,0,1,0,1,0,-\n13,75 +,2,0,0,0,0,1,1,0,0,0,0,0,+ Vo\n14,Not Stated,1,0,0,0,0,0,0,0,0,0,1,0,\n15,Total,\"3,718\",0,1,9,22,54,109,226,477,971,\"1,387\",462,\n` \\n\\nQuestion: `Report the three largest values Wife Age Group 24-20`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10,11,12,13\n0,Age Group of Wife (in Years) Age Group of Husband (in Years),Total,N.S,60,59-55,54-50,49-45,44-40,39-35,34-30,29-25,24-20,-20,() ()\n1,-20,40,0,0,0,0,0,0,0,0,3,13,24,-\n2,20 - 24,888,0,0,0,0,0,0,4,13,70,542,259,-\n3,25 - 29,\"1,370\",0,0,0,0,1,7,27,89,451,641,154,-\n4,30 - 34,703,0,0,0,1,5,9,41,166,299,159,23,-\n5,35 - 39,314,0,0,0,3,7,20,68,103,90,23,0,-\n6,40 - 44,158,0,0,0,3,7,20,42,52,29,4,1,-\n7,45 - 49,105,0,0,1,2,10,23,18,35,16,0,0,-\n8,50 - 54,74,0,0,2,6,15,16,16,11,7,0,1,-\n9,55 - 59,29,0,0,3,3,3,4,7,4,4,1,0,-\n10,60 - 64,20,0,1,2,2,1,5,2,3,2,2,0,-\n11,65 - 69,7,0,0,1,0,4,1,1,0,0,0,0,-\n12,70 - 74,7,0,0,0,2,0,3,0,1,0,1,0,-\n13,75 +,2,0,0,0,0,1,1,0,0,0,0,0,+ Vo\n14,Not Stated,1,0,0,0,0,0,0,0,0,0,1,0,\n15,Total,\"3,718\",0,1,9,22,54,109,226,477,971,\"1,387\",462,\n` \\n\\nQuestion: `Report the three largest values Wife Age Group 24-20`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
psa--1--945
|
./tables/csvs/psa--1--945.csv
|
./tables/images/psa--1--945.jpg
|
,0,1,2,3,4,5,6,7,8,9,10,11,12,13
0,Age Group of Wife (in Years) Age Group of Husband (in Years),Total,N.S,60,59-55,54-50,49-45,44-40,39-35,34-30,29-25,24-20,-20,() ()
1,-20,40,0,0,0,0,0,0,0,0,3,13,24,-
2,20 - 24,888,0,0,0,0,0,0,4,13,70,542,259,-
3,25 - 29,"1,370",0,0,0,0,1,7,27,89,451,641,154,-
4,30 - 34,703,0,0,0,1,5,9,41,166,299,159,23,-
5,35 - 39,314,0,0,0,3,7,20,68,103,90,23,0,-
6,40 - 44,158,0,0,0,3,7,20,42,52,29,4,1,-
7,45 - 49,105,0,0,1,2,10,23,18,35,16,0,0,-
8,50 - 54,74,0,0,2,6,15,16,16,11,7,0,1,-
9,55 - 59,29,0,0,3,3,3,4,7,4,4,1,0,-
10,60 - 64,20,0,1,2,2,1,5,2,3,2,2,0,-
11,65 - 69,7,0,0,1,0,4,1,1,0,0,0,0,-
12,70 - 74,7,0,0,0,2,0,3,0,1,0,1,0,-
13,75 +,2,0,0,0,0,1,1,0,0,0,0,0,+ Vo
14,Not Stated,1,0,0,0,0,0,0,0,0,0,1,0,
15,Total,"3,718",0,1,9,22,54,109,226,477,971,"1,387",462,
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
psa--1--945--M0
|
For the Husband Age Groups of 20 - 24, 25 - 29, 60 - 64, and 65 - 69, report the sum of wife in each of the age groups 44-40 and 39-35
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": true, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "1", "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": true, "Row Filter Num Of Conditions": "1", "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": "1", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": "2", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": true, "Aggregation Aggregation On Plain": true, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": true, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": true, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": true, "Aggregation Num Of Aggregations": "2", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
{13} || {34}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10,11,12,13\n0,Age Group of Wife (in Years) Age Group of Husband (in Years),Total,N.S,60,59-55,54-50,49-45,44-40,39-35,34-30,29-25,24-20,-20,() ()\n1,-20,40,0,0,0,0,0,0,0,0,3,13,24,-\n2,20 - 24,888,0,0,0,0,0,0,4,13,70,542,259,-\n3,25 - 29,\"1,370\",0,0,0,0,1,7,27,89,451,641,154,-\n4,30 - 34,703,0,0,0,1,5,9,41,166,299,159,23,-\n5,35 - 39,314,0,0,0,3,7,20,68,103,90,23,0,-\n6,40 - 44,158,0,0,0,3,7,20,42,52,29,4,1,-\n7,45 - 49,105,0,0,1,2,10,23,18,35,16,0,0,-\n8,50 - 54,74,0,0,2,6,15,16,16,11,7,0,1,-\n9,55 - 59,29,0,0,3,3,3,4,7,4,4,1,0,-\n10,60 - 64,20,0,1,2,2,1,5,2,3,2,2,0,-\n11,65 - 69,7,0,0,1,0,4,1,1,0,0,0,0,-\n12,70 - 74,7,0,0,0,2,0,3,0,1,0,1,0,-\n13,75 +,2,0,0,0,0,1,1,0,0,0,0,0,+ Vo\n14,Not Stated,1,0,0,0,0,0,0,0,0,0,1,0,\n15,Total,\"3,718\",0,1,9,22,54,109,226,477,971,\"1,387\",462,\n` \\n\\nQuestion: `For the Husband Age Groups of 20 - 24, 25 - 29, 60 - 64, and 65 - 69, report the sum of wife in each of the age groups 44-40 and 39-35`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10,11,12,13\n0,Age Group of Wife (in Years) Age Group of Husband (in Years),Total,N.S,60,59-55,54-50,49-45,44-40,39-35,34-30,29-25,24-20,-20,() ()\n1,-20,40,0,0,0,0,0,0,0,0,3,13,24,-\n2,20 - 24,888,0,0,0,0,0,0,4,13,70,542,259,-\n3,25 - 29,\"1,370\",0,0,0,0,1,7,27,89,451,641,154,-\n4,30 - 34,703,0,0,0,1,5,9,41,166,299,159,23,-\n5,35 - 39,314,0,0,0,3,7,20,68,103,90,23,0,-\n6,40 - 44,158,0,0,0,3,7,20,42,52,29,4,1,-\n7,45 - 49,105,0,0,1,2,10,23,18,35,16,0,0,-\n8,50 - 54,74,0,0,2,6,15,16,16,11,7,0,1,-\n9,55 - 59,29,0,0,3,3,3,4,7,4,4,1,0,-\n10,60 - 64,20,0,1,2,2,1,5,2,3,2,2,0,-\n11,65 - 69,7,0,0,1,0,4,1,1,0,0,0,0,-\n12,70 - 74,7,0,0,0,2,0,3,0,1,0,1,0,-\n13,75 +,2,0,0,0,0,1,1,0,0,0,0,0,+ Vo\n14,Not Stated,1,0,0,0,0,0,0,0,0,0,1,0,\n15,Total,\"3,718\",0,1,9,22,54,109,226,477,971,\"1,387\",462,\n` \\n\\nQuestion: `For the Husband Age Groups of 20 - 24, 25 - 29, 60 - 64, and 65 - 69, report the sum of wife in each of the age groups 44-40 and 39-35`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
psa--1--945
|
./tables/csvs/psa--1--945.csv
|
./tables/images/psa--1--945.jpg
|
,0,1,2,3,4,5,6,7,8,9,10,11,12,13
0,Age Group of Wife (in Years) Age Group of Husband (in Years),Total,N.S,60,59-55,54-50,49-45,44-40,39-35,34-30,29-25,24-20,-20,() ()
1,-20,40,0,0,0,0,0,0,0,0,3,13,24,-
2,20 - 24,888,0,0,0,0,0,0,4,13,70,542,259,-
3,25 - 29,"1,370",0,0,0,0,1,7,27,89,451,641,154,-
4,30 - 34,703,0,0,0,1,5,9,41,166,299,159,23,-
5,35 - 39,314,0,0,0,3,7,20,68,103,90,23,0,-
6,40 - 44,158,0,0,0,3,7,20,42,52,29,4,1,-
7,45 - 49,105,0,0,1,2,10,23,18,35,16,0,0,-
8,50 - 54,74,0,0,2,6,15,16,16,11,7,0,1,-
9,55 - 59,29,0,0,3,3,3,4,7,4,4,1,0,-
10,60 - 64,20,0,1,2,2,1,5,2,3,2,2,0,-
11,65 - 69,7,0,0,1,0,4,1,1,0,0,0,0,-
12,70 - 74,7,0,0,0,2,0,3,0,1,0,1,0,-
13,75 +,2,0,0,0,0,1,1,0,0,0,0,0,+ Vo
14,Not Stated,1,0,0,0,0,0,0,0,0,0,1,0,
15,Total,"3,718",0,1,9,22,54,109,226,477,971,"1,387",462,
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
psa--1--945--A0
|
What are the minimum and maximum number of marriages for the age groups of husbands between 30-34 and 50-54 years?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": true, "Row Filter Num Of Conditions": 1, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": 1, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": true, "Aggregation Aggregation On Plain": true, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": true, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": true, "Aggregation Num Of Aggregations": 2, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{0} || {299}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10,11,12,13\n0,Age Group of Wife (in Years) Age Group of Husband (in Years),Total,N.S,60,59-55,54-50,49-45,44-40,39-35,34-30,29-25,24-20,-20,() ()\n1,-20,40,0,0,0,0,0,0,0,0,3,13,24,-\n2,20 - 24,888,0,0,0,0,0,0,4,13,70,542,259,-\n3,25 - 29,\"1,370\",0,0,0,0,1,7,27,89,451,641,154,-\n4,30 - 34,703,0,0,0,1,5,9,41,166,299,159,23,-\n5,35 - 39,314,0,0,0,3,7,20,68,103,90,23,0,-\n6,40 - 44,158,0,0,0,3,7,20,42,52,29,4,1,-\n7,45 - 49,105,0,0,1,2,10,23,18,35,16,0,0,-\n8,50 - 54,74,0,0,2,6,15,16,16,11,7,0,1,-\n9,55 - 59,29,0,0,3,3,3,4,7,4,4,1,0,-\n10,60 - 64,20,0,1,2,2,1,5,2,3,2,2,0,-\n11,65 - 69,7,0,0,1,0,4,1,1,0,0,0,0,-\n12,70 - 74,7,0,0,0,2,0,3,0,1,0,1,0,-\n13,75 +,2,0,0,0,0,1,1,0,0,0,0,0,+ Vo\n14,Not Stated,1,0,0,0,0,0,0,0,0,0,1,0,\n15,Total,\"3,718\",0,1,9,22,54,109,226,477,971,\"1,387\",462,\n` \\n\\nQuestion: `What are the minimum and maximum number of marriages for the age groups of husbands between 30-34 and 50-54 years?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10,11,12,13\n0,Age Group of Wife (in Years) Age Group of Husband (in Years),Total,N.S,60,59-55,54-50,49-45,44-40,39-35,34-30,29-25,24-20,-20,() ()\n1,-20,40,0,0,0,0,0,0,0,0,3,13,24,-\n2,20 - 24,888,0,0,0,0,0,0,4,13,70,542,259,-\n3,25 - 29,\"1,370\",0,0,0,0,1,7,27,89,451,641,154,-\n4,30 - 34,703,0,0,0,1,5,9,41,166,299,159,23,-\n5,35 - 39,314,0,0,0,3,7,20,68,103,90,23,0,-\n6,40 - 44,158,0,0,0,3,7,20,42,52,29,4,1,-\n7,45 - 49,105,0,0,1,2,10,23,18,35,16,0,0,-\n8,50 - 54,74,0,0,2,6,15,16,16,11,7,0,1,-\n9,55 - 59,29,0,0,3,3,3,4,7,4,4,1,0,-\n10,60 - 64,20,0,1,2,2,1,5,2,3,2,2,0,-\n11,65 - 69,7,0,0,1,0,4,1,1,0,0,0,0,-\n12,70 - 74,7,0,0,0,2,0,3,0,1,0,1,0,-\n13,75 +,2,0,0,0,0,1,1,0,0,0,0,0,+ Vo\n14,Not Stated,1,0,0,0,0,0,0,0,0,0,1,0,\n15,Total,\"3,718\",0,1,9,22,54,109,226,477,971,\"1,387\",462,\n` \\n\\nQuestion: `What are the minimum and maximum number of marriages for the age groups of husbands between 30-34 and 50-54 years?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
census--2--2470
|
./tables/csvs/census--2--2470.csv
|
./tables/images/census--2--2470.jpg
|
,0,1,2,3,4
0,Country,Total,Bank,Public,All other
1,Germany,"26,819","12,115","9,385","5,319"
2,Italy.,"20,502","3,992","14,759","1,751"
3,Japan,"20,734","3,418","8,769","8,547"
4,"Korea, South","4,868","2,077","1,118","1,673"
5,Mexico.,"12,539",324,"5,055","7,160"
6,Netherlands,"19,248","8,053","2,750","8,445"
7,Netherlands Antilles,"4,243",24,,"4,219"
8,Spain,"4,607","1,735","1,223","1,649"
9,Sweden .,"3,911","1,176","1,889",846
10,Switzerland.,"7,113","2,792",459,"3,862"
11,United Kingdom.,"45,052","15,076",645,"29,331"
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
census--2--2470--M1
|
Report the top two Countries having the highest number of Banks
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "", "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "", "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": "1", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": "", "Rank": true, "Rank Rank On Plain": true, "Rank Rank On Expression": false, "Rank Report Top": "2"}
|
{United Kingdom | 15076} || {Germany | 12115}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4\n0,Country,Total,Bank,Public,All other\n1,Germany,\"26,819\",\"12,115\",\"9,385\",\"5,319\"\n2,Italy.,\"20,502\",\"3,992\",\"14,759\",\"1,751\"\n3,Japan,\"20,734\",\"3,418\",\"8,769\",\"8,547\"\n4,\"Korea, South\",\"4,868\",\"2,077\",\"1,118\",\"1,673\"\n5,Mexico.,\"12,539\",324,\"5,055\",\"7,160\"\n6,Netherlands,\"19,248\",\"8,053\",\"2,750\",\"8,445\"\n7,Netherlands Antilles,\"4,243\",24,,\"4,219\"\n8,Spain,\"4,607\",\"1,735\",\"1,223\",\"1,649\"\n9,Sweden .,\"3,911\",\"1,176\",\"1,889\",846\n10,Switzerland.,\"7,113\",\"2,792\",459,\"3,862\"\n11,United Kingdom.,\"45,052\",\"15,076\",645,\"29,331\"\n` \\n\\nQuestion: `Report the top two Countries having the highest number of Banks`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4\n0,Country,Total,Bank,Public,All other\n1,Germany,\"26,819\",\"12,115\",\"9,385\",\"5,319\"\n2,Italy.,\"20,502\",\"3,992\",\"14,759\",\"1,751\"\n3,Japan,\"20,734\",\"3,418\",\"8,769\",\"8,547\"\n4,\"Korea, South\",\"4,868\",\"2,077\",\"1,118\",\"1,673\"\n5,Mexico.,\"12,539\",324,\"5,055\",\"7,160\"\n6,Netherlands,\"19,248\",\"8,053\",\"2,750\",\"8,445\"\n7,Netherlands Antilles,\"4,243\",24,,\"4,219\"\n8,Spain,\"4,607\",\"1,735\",\"1,223\",\"1,649\"\n9,Sweden .,\"3,911\",\"1,176\",\"1,889\",846\n10,Switzerland.,\"7,113\",\"2,792\",459,\"3,862\"\n11,United Kingdom.,\"45,052\",\"15,076\",645,\"29,331\"\n` \\n\\nQuestion: `Report the top two Countries having the highest number of Banks`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
census--2--2470
|
./tables/csvs/census--2--2470.csv
|
./tables/images/census--2--2470.jpg
|
,0,1,2,3,4
0,Country,Total,Bank,Public,All other
1,Germany,"26,819","12,115","9,385","5,319"
2,Italy.,"20,502","3,992","14,759","1,751"
3,Japan,"20,734","3,418","8,769","8,547"
4,"Korea, South","4,868","2,077","1,118","1,673"
5,Mexico.,"12,539",324,"5,055","7,160"
6,Netherlands,"19,248","8,053","2,750","8,445"
7,Netherlands Antilles,"4,243",24,,"4,219"
8,Spain,"4,607","1,735","1,223","1,649"
9,Sweden .,"3,911","1,176","1,889",846
10,Switzerland.,"7,113","2,792",459,"3,862"
11,United Kingdom.,"45,052","15,076",645,"29,331"
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
census--2--2470--M0
|
For the Country of Japan, what is the sum of values under Bank and Public organizations
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": true, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "1", "Row Filter Retained Rows Single": true, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "1", "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": "1", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": "", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
{12187}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4\n0,Country,Total,Bank,Public,All other\n1,Germany,\"26,819\",\"12,115\",\"9,385\",\"5,319\"\n2,Italy.,\"20,502\",\"3,992\",\"14,759\",\"1,751\"\n3,Japan,\"20,734\",\"3,418\",\"8,769\",\"8,547\"\n4,\"Korea, South\",\"4,868\",\"2,077\",\"1,118\",\"1,673\"\n5,Mexico.,\"12,539\",324,\"5,055\",\"7,160\"\n6,Netherlands,\"19,248\",\"8,053\",\"2,750\",\"8,445\"\n7,Netherlands Antilles,\"4,243\",24,,\"4,219\"\n8,Spain,\"4,607\",\"1,735\",\"1,223\",\"1,649\"\n9,Sweden .,\"3,911\",\"1,176\",\"1,889\",846\n10,Switzerland.,\"7,113\",\"2,792\",459,\"3,862\"\n11,United Kingdom.,\"45,052\",\"15,076\",645,\"29,331\"\n` \\n\\nQuestion: `For the Country of Japan, what is the sum of values under Bank and Public organizations`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4\n0,Country,Total,Bank,Public,All other\n1,Germany,\"26,819\",\"12,115\",\"9,385\",\"5,319\"\n2,Italy.,\"20,502\",\"3,992\",\"14,759\",\"1,751\"\n3,Japan,\"20,734\",\"3,418\",\"8,769\",\"8,547\"\n4,\"Korea, South\",\"4,868\",\"2,077\",\"1,118\",\"1,673\"\n5,Mexico.,\"12,539\",324,\"5,055\",\"7,160\"\n6,Netherlands,\"19,248\",\"8,053\",\"2,750\",\"8,445\"\n7,Netherlands Antilles,\"4,243\",24,,\"4,219\"\n8,Spain,\"4,607\",\"1,735\",\"1,223\",\"1,649\"\n9,Sweden .,\"3,911\",\"1,176\",\"1,889\",846\n10,Switzerland.,\"7,113\",\"2,792\",459,\"3,862\"\n11,United Kingdom.,\"45,052\",\"15,076\",645,\"29,331\"\n` \\n\\nQuestion: `For the Country of Japan, what is the sum of values under Bank and Public organizations`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
psa--4--422
|
./tables/csvs/psa--4--422.csv
|
./tables/images/psa--4--422.jpg
|
,0,1,2,3,4,5,6,7,8,9,10,11,12
0,Blocks of Countries Sitc R-3 Sections,Total,& Other Countries (Except Arab Countries),Oceania,__,Other American Countries,United States of America,Asia (Except Arab Countries),Other European countries,Countries of the European Union,Other Arab Countries,G.C.C.,()
1,__,__,Africa,__,__,__,__,__,__,__,__,__,__
2,(0) Food and live animals,89.6,0.2,0.7,__,0.3,0.3,19.1,0.0,16.0,1.6,51.4,()
3,(1) Beverages and tobacco,0.6,0.0,0.0,__,0.0,0.0,0.4,-,0.0,0.0,0.1,()
4,"(2) Crude materials, inedible except fuels",116.8,0.0,0.0,__,0.0,0.4,93.5,0.5,9.0,2.8,10.4,()
5,"Mineral fuels, Lubricants and related (3) materials",18.5,0.4,0.1,__,0.0,0.0,10.1,-,0.6,0.1,7.2,()
6,"(4) Animal and vegetable oils, fats and waxes",30.2,0.0,-,__,-,0.0,6.8,-,23.2,0.0,0.2,()
7,(5) Chemicals and related products,363.0,11.0,0.9,__,0.4,1.4,65.7,1.9,226.6,1.3,53.8,()
8,Manufactured goods classified chiefly by (6) materials,302.2,1.6,1.7,__,7.1,7.1,49.1,4.4,88.3,14.3,128.6,()
9,(7) Machinery and transport equipment,"8,230.7",44.3,,32.5,85.0,"1,172.5","1,559.4",79.4,"1,473.2",464.4,"3,320.0",(V)
10,(8) Miscellaneous manufactured goods,964.3,1.5,0.8,__,5.6,89.7,139.2,123.5,233.7,53.5,316.7,()
11,Commodities and transactions not (9) classified in the SITC,128.3,7.4,,1.6,2.6,2.8,79.6,0.6,9.5,13.7,10.6,(1)
12,Total,"10,244",66,,38,101,"1,274","2,023",210,"2,080",552,"3,899",
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
psa--4--422--A3
|
For the SITC R-3 section "Crude materials, inedible except fuels", what is the sum of re-exports to "United States of America" and "Countries of the European Union" in 2021?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": true, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": 1, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": 1, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{9.4}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10,11,12\n0,Blocks of Countries Sitc R-3 Sections,Total,& Other Countries (Except Arab Countries),Oceania,__,Other American Countries,United States of America,Asia (Except Arab Countries),Other European countries,Countries of the European Union,Other Arab Countries,G.C.C.,()\n1,__,__,Africa,__,__,__,__,__,__,__,__,__,__\n2,(0) Food and live animals,89.6,0.2,0.7,__,0.3,0.3,19.1,0.0,16.0,1.6,51.4,()\n3,(1) Beverages and tobacco,0.6,0.0,0.0,__,0.0,0.0,0.4,-,0.0,0.0,0.1,()\n4,\"(2) Crude materials, inedible except fuels\",116.8,0.0,0.0,__,0.0,0.4,93.5,0.5,9.0,2.8,10.4,()\n5,\"Mineral fuels, Lubricants and related (3) materials\",18.5,0.4,0.1,__,0.0,0.0,10.1,-,0.6,0.1,7.2,()\n6,\"(4) Animal and vegetable oils, fats and waxes\",30.2,0.0,-,__,-,0.0,6.8,-,23.2,0.0,0.2,()\n7,(5) Chemicals and related products,363.0,11.0,0.9,__,0.4,1.4,65.7,1.9,226.6,1.3,53.8,()\n8,Manufactured goods classified chiefly by (6) materials,302.2,1.6,1.7,__,7.1,7.1,49.1,4.4,88.3,14.3,128.6,()\n9,(7) Machinery and transport equipment,\"8,230.7\",44.3,,32.5,85.0,\"1,172.5\",\"1,559.4\",79.4,\"1,473.2\",464.4,\"3,320.0\",(V)\n10,(8) Miscellaneous manufactured goods,964.3,1.5,0.8,__,5.6,89.7,139.2,123.5,233.7,53.5,316.7,()\n11,Commodities and transactions not (9) classified in the SITC,128.3,7.4,,1.6,2.6,2.8,79.6,0.6,9.5,13.7,10.6,(1)\n12,Total,\"10,244\",66,,38,101,\"1,274\",\"2,023\",210,\"2,080\",552,\"3,899\",\n` \\n\\nQuestion: `For the SITC R-3 section \"Crude materials, inedible except fuels\", what is the sum of re-exports to \"United States of America\" and \"Countries of the European Union\" in 2021?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10,11,12\n0,Blocks of Countries Sitc R-3 Sections,Total,& Other Countries (Except Arab Countries),Oceania,__,Other American Countries,United States of America,Asia (Except Arab Countries),Other European countries,Countries of the European Union,Other Arab Countries,G.C.C.,()\n1,__,__,Africa,__,__,__,__,__,__,__,__,__,__\n2,(0) Food and live animals,89.6,0.2,0.7,__,0.3,0.3,19.1,0.0,16.0,1.6,51.4,()\n3,(1) Beverages and tobacco,0.6,0.0,0.0,__,0.0,0.0,0.4,-,0.0,0.0,0.1,()\n4,\"(2) Crude materials, inedible except fuels\",116.8,0.0,0.0,__,0.0,0.4,93.5,0.5,9.0,2.8,10.4,()\n5,\"Mineral fuels, Lubricants and related (3) materials\",18.5,0.4,0.1,__,0.0,0.0,10.1,-,0.6,0.1,7.2,()\n6,\"(4) Animal and vegetable oils, fats and waxes\",30.2,0.0,-,__,-,0.0,6.8,-,23.2,0.0,0.2,()\n7,(5) Chemicals and related products,363.0,11.0,0.9,__,0.4,1.4,65.7,1.9,226.6,1.3,53.8,()\n8,Manufactured goods classified chiefly by (6) materials,302.2,1.6,1.7,__,7.1,7.1,49.1,4.4,88.3,14.3,128.6,()\n9,(7) Machinery and transport equipment,\"8,230.7\",44.3,,32.5,85.0,\"1,172.5\",\"1,559.4\",79.4,\"1,473.2\",464.4,\"3,320.0\",(V)\n10,(8) Miscellaneous manufactured goods,964.3,1.5,0.8,__,5.6,89.7,139.2,123.5,233.7,53.5,316.7,()\n11,Commodities and transactions not (9) classified in the SITC,128.3,7.4,,1.6,2.6,2.8,79.6,0.6,9.5,13.7,10.6,(1)\n12,Total,\"10,244\",66,,38,101,\"1,274\",\"2,023\",210,\"2,080\",552,\"3,899\",\n` \\n\\nQuestion: `For the SITC R-3 section \"Crude materials, inedible except fuels\", what is the sum of re-exports to \"United States of America\" and \"Countries of the European Union\" in 2021?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
psa--4--422
|
./tables/csvs/psa--4--422.csv
|
./tables/images/psa--4--422.jpg
|
,0,1,2,3,4,5,6,7,8,9,10,11,12
0,Blocks of Countries Sitc R-3 Sections,Total,& Other Countries (Except Arab Countries),Oceania,__,Other American Countries,United States of America,Asia (Except Arab Countries),Other European countries,Countries of the European Union,Other Arab Countries,G.C.C.,()
1,__,__,Africa,__,__,__,__,__,__,__,__,__,__
2,(0) Food and live animals,89.6,0.2,0.7,__,0.3,0.3,19.1,0.0,16.0,1.6,51.4,()
3,(1) Beverages and tobacco,0.6,0.0,0.0,__,0.0,0.0,0.4,-,0.0,0.0,0.1,()
4,"(2) Crude materials, inedible except fuels",116.8,0.0,0.0,__,0.0,0.4,93.5,0.5,9.0,2.8,10.4,()
5,"Mineral fuels, Lubricants and related (3) materials",18.5,0.4,0.1,__,0.0,0.0,10.1,-,0.6,0.1,7.2,()
6,"(4) Animal and vegetable oils, fats and waxes",30.2,0.0,-,__,-,0.0,6.8,-,23.2,0.0,0.2,()
7,(5) Chemicals and related products,363.0,11.0,0.9,__,0.4,1.4,65.7,1.9,226.6,1.3,53.8,()
8,Manufactured goods classified chiefly by (6) materials,302.2,1.6,1.7,__,7.1,7.1,49.1,4.4,88.3,14.3,128.6,()
9,(7) Machinery and transport equipment,"8,230.7",44.3,,32.5,85.0,"1,172.5","1,559.4",79.4,"1,473.2",464.4,"3,320.0",(V)
10,(8) Miscellaneous manufactured goods,964.3,1.5,0.8,__,5.6,89.7,139.2,123.5,233.7,53.5,316.7,()
11,Commodities and transactions not (9) classified in the SITC,128.3,7.4,,1.6,2.6,2.8,79.6,0.6,9.5,13.7,10.6,(1)
12,Total,"10,244",66,,38,101,"1,274","2,023",210,"2,080",552,"3,899",
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
psa--4--422--A2
|
What is the total value of "Food and live animals" re-exported to "United States of America" and "Other European Union Countries" combined in 2021?
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": false, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": false, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": 1, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{0.3}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10,11,12\n0,Blocks of Countries Sitc R-3 Sections,Total,& Other Countries (Except Arab Countries),Oceania,__,Other American Countries,United States of America,Asia (Except Arab Countries),Other European countries,Countries of the European Union,Other Arab Countries,G.C.C.,()\n1,__,__,Africa,__,__,__,__,__,__,__,__,__,__\n2,(0) Food and live animals,89.6,0.2,0.7,__,0.3,0.3,19.1,0.0,16.0,1.6,51.4,()\n3,(1) Beverages and tobacco,0.6,0.0,0.0,__,0.0,0.0,0.4,-,0.0,0.0,0.1,()\n4,\"(2) Crude materials, inedible except fuels\",116.8,0.0,0.0,__,0.0,0.4,93.5,0.5,9.0,2.8,10.4,()\n5,\"Mineral fuels, Lubricants and related (3) materials\",18.5,0.4,0.1,__,0.0,0.0,10.1,-,0.6,0.1,7.2,()\n6,\"(4) Animal and vegetable oils, fats and waxes\",30.2,0.0,-,__,-,0.0,6.8,-,23.2,0.0,0.2,()\n7,(5) Chemicals and related products,363.0,11.0,0.9,__,0.4,1.4,65.7,1.9,226.6,1.3,53.8,()\n8,Manufactured goods classified chiefly by (6) materials,302.2,1.6,1.7,__,7.1,7.1,49.1,4.4,88.3,14.3,128.6,()\n9,(7) Machinery and transport equipment,\"8,230.7\",44.3,,32.5,85.0,\"1,172.5\",\"1,559.4\",79.4,\"1,473.2\",464.4,\"3,320.0\",(V)\n10,(8) Miscellaneous manufactured goods,964.3,1.5,0.8,__,5.6,89.7,139.2,123.5,233.7,53.5,316.7,()\n11,Commodities and transactions not (9) classified in the SITC,128.3,7.4,,1.6,2.6,2.8,79.6,0.6,9.5,13.7,10.6,(1)\n12,Total,\"10,244\",66,,38,101,\"1,274\",\"2,023\",210,\"2,080\",552,\"3,899\",\n` \\n\\nQuestion: `What is the total value of \"Food and live animals\" re-exported to \"United States of America\" and \"Other European Union Countries\" combined in 2021?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10,11,12\n0,Blocks of Countries Sitc R-3 Sections,Total,& Other Countries (Except Arab Countries),Oceania,__,Other American Countries,United States of America,Asia (Except Arab Countries),Other European countries,Countries of the European Union,Other Arab Countries,G.C.C.,()\n1,__,__,Africa,__,__,__,__,__,__,__,__,__,__\n2,(0) Food and live animals,89.6,0.2,0.7,__,0.3,0.3,19.1,0.0,16.0,1.6,51.4,()\n3,(1) Beverages and tobacco,0.6,0.0,0.0,__,0.0,0.0,0.4,-,0.0,0.0,0.1,()\n4,\"(2) Crude materials, inedible except fuels\",116.8,0.0,0.0,__,0.0,0.4,93.5,0.5,9.0,2.8,10.4,()\n5,\"Mineral fuels, Lubricants and related (3) materials\",18.5,0.4,0.1,__,0.0,0.0,10.1,-,0.6,0.1,7.2,()\n6,\"(4) Animal and vegetable oils, fats and waxes\",30.2,0.0,-,__,-,0.0,6.8,-,23.2,0.0,0.2,()\n7,(5) Chemicals and related products,363.0,11.0,0.9,__,0.4,1.4,65.7,1.9,226.6,1.3,53.8,()\n8,Manufactured goods classified chiefly by (6) materials,302.2,1.6,1.7,__,7.1,7.1,49.1,4.4,88.3,14.3,128.6,()\n9,(7) Machinery and transport equipment,\"8,230.7\",44.3,,32.5,85.0,\"1,172.5\",\"1,559.4\",79.4,\"1,473.2\",464.4,\"3,320.0\",(V)\n10,(8) Miscellaneous manufactured goods,964.3,1.5,0.8,__,5.6,89.7,139.2,123.5,233.7,53.5,316.7,()\n11,Commodities and transactions not (9) classified in the SITC,128.3,7.4,,1.6,2.6,2.8,79.6,0.6,9.5,13.7,10.6,(1)\n12,Total,\"10,244\",66,,38,101,\"1,274\",\"2,023\",210,\"2,080\",552,\"3,899\",\n` \\n\\nQuestion: `What is the total value of \"Food and live animals\" re-exported to \"United States of America\" and \"Other European Union Countries\" combined in 2021?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
census--2--491
|
./tables/csvs/census--2--491.csv
|
./tables/images/census--2--491.jpg
|
,0,1,2,3,4,5,6,7,8,9,10
0,Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county,2000,__,__,__,Persons below poverty level in 1999,__,Housing units,__,__,__
1,__,"Educational attainment, percent with bachelor's degree or higher1",Percent foreign born,Workers 16 years and over Percent of workers,__,Total persons,Percent of persons below poverty level in 1999,2004 (July 1),20002 (estimates base),Change 2000-20043,__
2,__,__,__,Total workers,who drove alone to work,__,__,__,__,Number,Percent
3,"Atlanta-Sandy Springs-Marietta, GA-Con.",,,,,,,,,,
4,"Fayette County, GA.",36.2,5.0,"47,090",81.2,"2,386",2.6,"36,583","32,726","3,857",11.8
5,"Forsyth County, GA",34.6,6.0,"52,904",79.0,"5,382",5.5,"48,580","36,505","12,075",33.1
6,"Fulton County, GA",41.4,9.6,"431,553",63.8,"124,241",15.2,"389,799","348,634","41,165",11.8
7,"Gwinnett County, GA.",34.1,16.9,"325,379",75.9,"33,067",5.6,"255,265","209,682","45,583",21.7
8,"Haralson County, GA.",9.0,0.9,"11,751",71.2,"3,914",15.2,"11,484","10,719",765,7.1
9,"Heard County, GA.",7.3,0.7,"4,902",66.6,"1,480",13.4,"4,789","4,512",277,6.1
10,"Henry County, GA.",19.5,3.4,"63,081",79.4,"5,821",4.9,"60,841","43,166","17,675",40.9
11,"Jasper County, GA",11.5,2.1,"5,517",69.2,"1,604",14.0,"5,516","4,806",710,14.8
12,"Lamar County, GA",11.3,1.0,"7,667",71.9,"1,682",10.6,"6,752","6,145",607,9.9
13,"Meriwether County, GA",10.8,0.7,"9,845",69.1,"3,931",17.4,"10,016","9,211",805,8.7
14,"Newton County, GA.",14.5,2.5,"30,745",75.6,"6,079",9.8,"31,526","23,033","8,493",36.9
15,"Paulding County, GA",15.2,2.1,"42,755",79.8,"4,454",5.5,"40,815","29,241","11,574",39.6
16,"Pickens County, GA",15.6,2.0,"11,542",75.8,"2,080",9.1,"12,638","10,687","1,951",18.3
17,"Pike County, GA.",14.0,1.0,"6,544",75.0,"1,275",9.3,5.978,"5,068",910,18.0
18,"Rockdale County, GA",23.4,7.6,"35,166",74.7,"5,673",8.1,"28,634","25,082",3.552,14.2
19,"Spalding County, GA",12.5,2.2,"27,148",69.9,"8,856",15.2,"24,916","23,001","1,915",8.3
20,"Walton County, GA",13.0,2.0,"30,409",75.5,"5,829",9.6,"27,801","22,500","5,301",23.6
21,"Atlantic City, NJ.",18.7,11.8,"125,696",65.5,"25,906",10.3,"121,192","114,090","7,102",6.2
22,"Atlantic County, NJ .",18.7,11.8,"125,696",65.5,"25,906",10.3,"121,192","114,090","7,102",6.2
23,"Auburn-Opelika, AL",27.9,2.7,"56,547",77.6,"24,119",21.0,"55,546","50,329","5,217",10.4
24,"Lee County, AL.",27.9,2.7,"56,547",77.6,"24,119",21.0,"55,546","50,329","5,217",10.4
25,"Augusta-Richmond County, GA-SC .",20.4,3.0,"237,567",73.5,"74,945",15.0,"216,791","204,600","12,191",6.0
26,"Burke County, GA.",9.5,0.8,"9,108",70.3,"6,348",28.5,"9,106","8,842",264,3.0
27,"Columbia County, GA",32.0,4.8,"45,831",81.8,"4,540",5.1,"38,363","33,321","5,042",15.1
28,"McDuffie County, GA",11.7,0.6,"9,712",72.1,"3,882",18.3,"9,200","8,916",284,3.2
29,"Richmond County, GA",18.7,3.4,"94,690",68.5,"37,313",18.7,"85,111","82,312","2,799",3.4
30,"Aiken County, SC .",19.9,2.3,"67,969",75.4,"19,455",13.6,"65,372","61,987","3,385",5.5
31,"Edgefield County, SC",12.5,1.3,"10,257",74.1,"3,407",13.9,"9,639","9,222",417,4.5
32,"Austin-Round Rock, TX.",36.7,12.2,"689,602",72.0,"134,589",10.8,"573,921","496,004","77,917",15.7
33,"Bastrop County, TX.",17.0,8.1,"27,642",70.5,"6,456",11.2,"23,929","22,254",1.675,7.5
34,"Caldwell County, TX",13.3,5.1,"14,206",69.7,"3,971",12.3,"12,838","11,901",937,7.9
35,"Hays County, TX",31.3,5.6,"53,942",70.3,"13,039
:selected:",13.4,"42,338","35,643","6,695",18.8
36,"Travis County, TX .",40.6,15.1,"460,525",70.5,"99,388",12.2,"381,542","335,881","45,661",13.6
37,"Williamson County, TX.",33.6,7.4,"133,287",78.7,"11,735",4.7,"113,274","90,325","22,949",25.4
38,"Bakersfield, CA",13.5,16.9,"267,603",63.4,"130,949",19.8,"247,426","231,567","15,859",6.8
39,"Kern County, CA.",13.5,16.9,"267,603",63.4,"130,949",19.8,"247,426
:selected:","231,567","15,859",6.8
40,"Baltimore-Towson, MD",29.2,5.7,"1,313,310",70.4,"243,792",9.5,"1,082,523","1,048,046","34,477",3.3
41,"Anne Arundel County, MD",30.6,4.7,"269,772",76.1,"24,335",5.0,"197,331","186,937","10,394",5.6
42,"Baltimore County, MD",30.6,7.1,"396,897",75.0,"47,603",6.3,"323,070","313,734","9,336",3.0
43,"Carroll County, MD",24.8,2.0,"80,767",79.8,"5,617",3.7,"59,496","54,260","5,236",9.6
44,"Harford County, MD",27.3,3.4,"116,981",79.6,"10,695",4.9,"90,415","83,146","7,269",8.7
45,"Howard County, MD",52.9,11.3,"139,885",79.0,"9,491",3.8,"99,415","92,818","6,597",7.1
46,"Queen Anne's County, MD",25.4,2.4,"21,849",75.6,"2,537",6.3,"18,454","16,674","1,780",10.7
47,"Baltimore city, MD.",19.1,4.6,"287,159",47.5,"143,514",22.0,"294,342","300,477","-6,135",-2.0
48,"Bangor, ME",20.3,2.5,"74,297",73.2,"18,956",13.1,"68,727","66,847","1,880",2.8
49,"Penobscot County, ME",20.3,2.5,"74,297",73.2,"18,956",13.1,"68,727","66,847","1,880",2.8
50,"Barnstable Town, MA",33.6,4.9,"107,184",75.3,"15,021",6.8,"152,583","147,083","5,500",3.7
51,"Barnstable County, MA",33.6,4.9,"107,184",75.3,"15,021",6.8,"152,583","147,083","5,500",3.7
52,"Baton Rouge, LA.",22.8,2.6,"335,375",75.3,"116,199",16.5,"300,066","282,511","17,555",6.2
53,"Ascension Parish, LA",14.5,1.8,"37,203",79.1,"9,808",12.8,"33,424","29,172","4,252",14.6
54,"East Baton Rouge Parish, LA",30.8,3.7,"205,905",74.6,"71,276",17.3,"176,463","169,073","7,390",4.4
55,"East Feliciana Parish, LA",11.3,0.6,"8,557",70.4,"4,352",20.4,"8,139","7,915",224,2.8
56,"Iberville Parish, LA",9.6,0.7,"12,364",73.1,"6,909",20.7,"12,328","11,953",375,3.1
57,"Livingston Parish, LA.",11.4,0.8,"42,978",77.8,"10,339",11.3,"40,312","36,212","4,100",11.3
58,"Pointe Coupee Parish, LA",12.8,0.9,"9,626",72.4,"5,172",22.7,"10,724","10,297",427,4.1
59,"St. Helena Parish, LA",11.2,0.3,"4,135",69.2,"2,804",26.6,"5,145","5,034",111,2.2
60,"West Baton Rouge Parish, LA.",11.1,0.9,"9,976",76.0,"3,564",16.5,"8,776","8,370",406,4.9
61,"West Feliciana Parish, LA",10.6,0.5,"4,631",77.2,"1,975",13.1,"4,755","4,485",270,6.0
62,"Battle Creek, MI",16.0,2.4,"66,943",75.7,"15,094",10.9,"60,208","58,691","1,517",2.6
63,"Calhoun County, MI.",16.0,2.4,"66,943",75.7,"15,094",10.9,"60,208","58,691","1,517",2.6
64,"Bay City, MI",14.2,1.4,"54,312",80.5,"10,605",9.6,"47,617","46,423","1,194",2.6
65,"Bay County, MI.",14.2,1.4,"54,312",80.5,"10,605",9.6,"47,617","46,423","1,194",2.6
66,"Beaumont-Port Arthur, TX",14.7,4.7,"169,288",74.9,"57,974",15.1,"161,294","156,697","4,597",2.9
67,"Hardin County, TX",13.0,1.3,"21,877",78.5,"5,314",11.1,"20,646","19,836",810,4.1
68,"Jefferson County, TX",16.3,6.2,"108,633",73.8,"41,142",16.3,"104,826","102,080","2,746",2.7
69,"Orange County, TX .",11.0,2.1,"38,778",75.7,"11,518",13.6,"35,822","34,781","1,041",3.0
70,"Bellingham, WA.",27.2,9.8,"87,365",68.8,"23,003",13.8,"80,637","73,897","6,740",9.1
71,"Whatcom County, WA",27.2,9.8,"87,365",68.8,"23,003",13.8,"80,637","73,897","6,740",9.1
72,"Bend, OR.",25.0,2.8,"58,836",69.9,"10,613",9.2,"64,861","54,583","10,278",18.8
73,"Deschutes County, OR",25.0,2.8,"58,836",69.9,"10,613",9.2,"64,861","54,583","10,278",18.8
74,"Billings, MT.",26.2,1.4,"73,490",75.6,"15,121",10.9,"62,462","60,057","2,405",4.0
75,"Carbon County, MT.",23.3,1.6,"4,792",61.6,"1,089",11.4,"5,571","5,494",77,1.4
76,"Yellowstone County, MT",26.4,1.4,"68,698",76.6,"14,032",10.8,"56,891","54,563","2,328",4.3
77,"Binghamton, NY",22.0,4.5,"122,581",74.0,"28,854",11.4,"110,575","110,227",348,0.3
78,"Broome County, NY",22.7,5.3,"96,563",73.8,"24,559",12.2,"88,931","88,817",114,0.1
79,"Tioga County, NY .",19.7,1.7,"26,018",75.0,"4,295",8.3,"21,644","21,410",234,1.1
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": true, "Asymmetric Multi Level Column": true, "Column Aggregation": true, "Global Column Aggregation": false, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": true, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": false, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": true, "Split Header Cell": false, "Row Group Label": true}
|
census--2--491--M1
|
Is the "Number" of "Housing units" for Gwinnett County, GA. higher than 20,000
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": true, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "1", "Row Filter Retained Rows Single": true, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "1", "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": "4", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": "1", "Yes/No": true, "Yes/No Scope Single": true, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": "", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
Yes
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10\n0,Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county,2000,__,__,__,Persons below poverty level in 1999,__,Housing units,__,__,__\n1,__,\"Educational attainment, percent with bachelor's degree or higher1\",Percent foreign born,Workers 16 years and over Percent of workers,__,Total persons,Percent of persons below poverty level in 1999,2004 (July 1),20002 (estimates base),Change 2000-20043,__\n2,__,__,__,Total workers,who drove alone to work,__,__,__,__,Number,Percent\n3,\"Atlanta-Sandy Springs-Marietta, GA-Con.\",,,,,,,,,,\n4,\"Fayette County, GA.\",36.2,5.0,\"47,090\",81.2,\"2,386\",2.6,\"36,583\",\"32,726\",\"3,857\",11.8\n5,\"Forsyth County, GA\",34.6,6.0,\"52,904\",79.0,\"5,382\",5.5,\"48,580\",\"36,505\",\"12,075\",33.1\n6,\"Fulton County, GA\",41.4,9.6,\"431,553\",63.8,\"124,241\",15.2,\"389,799\",\"348,634\",\"41,165\",11.8\n7,\"Gwinnett County, GA.\",34.1,16.9,\"325,379\",75.9,\"33,067\",5.6,\"255,265\",\"209,682\",\"45,583\",21.7\n8,\"Haralson County, GA.\",9.0,0.9,\"11,751\",71.2,\"3,914\",15.2,\"11,484\",\"10,719\",765,7.1\n9,\"Heard County, GA.\",7.3,0.7,\"4,902\",66.6,\"1,480\",13.4,\"4,789\",\"4,512\",277,6.1\n10,\"Henry County, GA.\",19.5,3.4,\"63,081\",79.4,\"5,821\",4.9,\"60,841\",\"43,166\",\"17,675\",40.9\n11,\"Jasper County, GA\",11.5,2.1,\"5,517\",69.2,\"1,604\",14.0,\"5,516\",\"4,806\",710,14.8\n12,\"Lamar County, GA\",11.3,1.0,\"7,667\",71.9,\"1,682\",10.6,\"6,752\",\"6,145\",607,9.9\n13,\"Meriwether County, GA\",10.8,0.7,\"9,845\",69.1,\"3,931\",17.4,\"10,016\",\"9,211\",805,8.7\n14,\"Newton County, GA.\",14.5,2.5,\"30,745\",75.6,\"6,079\",9.8,\"31,526\",\"23,033\",\"8,493\",36.9\n15,\"Paulding County, GA\",15.2,2.1,\"42,755\",79.8,\"4,454\",5.5,\"40,815\",\"29,241\",\"11,574\",39.6\n16,\"Pickens County, GA\",15.6,2.0,\"11,542\",75.8,\"2,080\",9.1,\"12,638\",\"10,687\",\"1,951\",18.3\n17,\"Pike County, GA.\",14.0,1.0,\"6,544\",75.0,\"1,275\",9.3,5.978,\"5,068\",910,18.0\n18,\"Rockdale County, GA\",23.4,7.6,\"35,166\",74.7,\"5,673\",8.1,\"28,634\",\"25,082\",3.552,14.2\n19,\"Spalding County, GA\",12.5,2.2,\"27,148\",69.9,\"8,856\",15.2,\"24,916\",\"23,001\",\"1,915\",8.3\n20,\"Walton County, GA\",13.0,2.0,\"30,409\",75.5,\"5,829\",9.6,\"27,801\",\"22,500\",\"5,301\",23.6\n21,\"Atlantic City, NJ.\",18.7,11.8,\"125,696\",65.5,\"25,906\",10.3,\"121,192\",\"114,090\",\"7,102\",6.2\n22,\"Atlantic County, NJ .\",18.7,11.8,\"125,696\",65.5,\"25,906\",10.3,\"121,192\",\"114,090\",\"7,102\",6.2\n23,\"Auburn-Opelika, AL\",27.9,2.7,\"56,547\",77.6,\"24,119\",21.0,\"55,546\",\"50,329\",\"5,217\",10.4\n24,\"Lee County, AL.\",27.9,2.7,\"56,547\",77.6,\"24,119\",21.0,\"55,546\",\"50,329\",\"5,217\",10.4\n25,\"Augusta-Richmond County, GA-SC .\",20.4,3.0,\"237,567\",73.5,\"74,945\",15.0,\"216,791\",\"204,600\",\"12,191\",6.0\n26,\"Burke County, GA.\",9.5,0.8,\"9,108\",70.3,\"6,348\",28.5,\"9,106\",\"8,842\",264,3.0\n27,\"Columbia County, GA\",32.0,4.8,\"45,831\",81.8,\"4,540\",5.1,\"38,363\",\"33,321\",\"5,042\",15.1\n28,\"McDuffie County, GA\",11.7,0.6,\"9,712\",72.1,\"3,882\",18.3,\"9,200\",\"8,916\",284,3.2\n29,\"Richmond County, GA\",18.7,3.4,\"94,690\",68.5,\"37,313\",18.7,\"85,111\",\"82,312\",\"2,799\",3.4\n30,\"Aiken County, SC .\",19.9,2.3,\"67,969\",75.4,\"19,455\",13.6,\"65,372\",\"61,987\",\"3,385\",5.5\n31,\"Edgefield County, SC\",12.5,1.3,\"10,257\",74.1,\"3,407\",13.9,\"9,639\",\"9,222\",417,4.5\n32,\"Austin-Round Rock, TX.\",36.7,12.2,\"689,602\",72.0,\"134,589\",10.8,\"573,921\",\"496,004\",\"77,917\",15.7\n33,\"Bastrop County, TX.\",17.0,8.1,\"27,642\",70.5,\"6,456\",11.2,\"23,929\",\"22,254\",1.675,7.5\n34,\"Caldwell County, TX\",13.3,5.1,\"14,206\",69.7,\"3,971\",12.3,\"12,838\",\"11,901\",937,7.9\n35,\"Hays County, TX\",31.3,5.6,\"53,942\",70.3,\"13,039\n:selected:\",13.4,\"42,338\",\"35,643\",\"6,695\",18.8\n36,\"Travis County, TX .\",40.6,15.1,\"460,525\",70.5,\"99,388\",12.2,\"381,542\",\"335,881\",\"45,661\",13.6\n37,\"Williamson County, TX.\",33.6,7.4,\"133,287\",78.7,\"11,735\",4.7,\"113,274\",\"90,325\",\"22,949\",25.4\n38,\"Bakersfield, CA\",13.5,16.9,\"267,603\",63.4,\"130,949\",19.8,\"247,426\",\"231,567\",\"15,859\",6.8\n39,\"Kern County, CA.\",13.5,16.9,\"267,603\",63.4,\"130,949\",19.8,\"247,426\n:selected:\",\"231,567\",\"15,859\",6.8\n40,\"Baltimore-Towson, MD\",29.2,5.7,\"1,313,310\",70.4,\"243,792\",9.5,\"1,082,523\",\"1,048,046\",\"34,477\",3.3\n41,\"Anne Arundel County, MD\",30.6,4.7,\"269,772\",76.1,\"24,335\",5.0,\"197,331\",\"186,937\",\"10,394\",5.6\n42,\"Baltimore County, MD\",30.6,7.1,\"396,897\",75.0,\"47,603\",6.3,\"323,070\",\"313,734\",\"9,336\",3.0\n43,\"Carroll County, MD\",24.8,2.0,\"80,767\",79.8,\"5,617\",3.7,\"59,496\",\"54,260\",\"5,236\",9.6\n44,\"Harford County, MD\",27.3,3.4,\"116,981\",79.6,\"10,695\",4.9,\"90,415\",\"83,146\",\"7,269\",8.7\n45,\"Howard County, MD\",52.9,11.3,\"139,885\",79.0,\"9,491\",3.8,\"99,415\",\"92,818\",\"6,597\",7.1\n46,\"Queen Anne's County, MD\",25.4,2.4,\"21,849\",75.6,\"2,537\",6.3,\"18,454\",\"16,674\",\"1,780\",10.7\n47,\"Baltimore city, MD.\",19.1,4.6,\"287,159\",47.5,\"143,514\",22.0,\"294,342\",\"300,477\",\"-6,135\",-2.0\n48,\"Bangor, ME\",20.3,2.5,\"74,297\",73.2,\"18,956\",13.1,\"68,727\",\"66,847\",\"1,880\",2.8\n49,\"Penobscot County, ME\",20.3,2.5,\"74,297\",73.2,\"18,956\",13.1,\"68,727\",\"66,847\",\"1,880\",2.8\n50,\"Barnstable Town, MA\",33.6,4.9,\"107,184\",75.3,\"15,021\",6.8,\"152,583\",\"147,083\",\"5,500\",3.7\n51,\"Barnstable County, MA\",33.6,4.9,\"107,184\",75.3,\"15,021\",6.8,\"152,583\",\"147,083\",\"5,500\",3.7\n52,\"Baton Rouge, LA.\",22.8,2.6,\"335,375\",75.3,\"116,199\",16.5,\"300,066\",\"282,511\",\"17,555\",6.2\n53,\"Ascension Parish, LA\",14.5,1.8,\"37,203\",79.1,\"9,808\",12.8,\"33,424\",\"29,172\",\"4,252\",14.6\n54,\"East Baton Rouge Parish, LA\",30.8,3.7,\"205,905\",74.6,\"71,276\",17.3,\"176,463\",\"169,073\",\"7,390\",4.4\n55,\"East Feliciana Parish, LA\",11.3,0.6,\"8,557\",70.4,\"4,352\",20.4,\"8,139\",\"7,915\",224,2.8\n56,\"Iberville Parish, LA\",9.6,0.7,\"12,364\",73.1,\"6,909\",20.7,\"12,328\",\"11,953\",375,3.1\n57,\"Livingston Parish, LA.\",11.4,0.8,\"42,978\",77.8,\"10,339\",11.3,\"40,312\",\"36,212\",\"4,100\",11.3\n58,\"Pointe Coupee Parish, LA\",12.8,0.9,\"9,626\",72.4,\"5,172\",22.7,\"10,724\",\"10,297\",427,4.1\n59,\"St. Helena Parish, LA\",11.2,0.3,\"4,135\",69.2,\"2,804\",26.6,\"5,145\",\"5,034\",111,2.2\n60,\"West Baton Rouge Parish, LA.\",11.1,0.9,\"9,976\",76.0,\"3,564\",16.5,\"8,776\",\"8,370\",406,4.9\n61,\"West Feliciana Parish, LA\",10.6,0.5,\"4,631\",77.2,\"1,975\",13.1,\"4,755\",\"4,485\",270,6.0\n62,\"Battle Creek, MI\",16.0,2.4,\"66,943\",75.7,\"15,094\",10.9,\"60,208\",\"58,691\",\"1,517\",2.6\n63,\"Calhoun County, MI.\",16.0,2.4,\"66,943\",75.7,\"15,094\",10.9,\"60,208\",\"58,691\",\"1,517\",2.6\n64,\"Bay City, MI\",14.2,1.4,\"54,312\",80.5,\"10,605\",9.6,\"47,617\",\"46,423\",\"1,194\",2.6\n65,\"Bay County, MI.\",14.2,1.4,\"54,312\",80.5,\"10,605\",9.6,\"47,617\",\"46,423\",\"1,194\",2.6\n66,\"Beaumont-Port Arthur, TX\",14.7,4.7,\"169,288\",74.9,\"57,974\",15.1,\"161,294\",\"156,697\",\"4,597\",2.9\n67,\"Hardin County, TX\",13.0,1.3,\"21,877\",78.5,\"5,314\",11.1,\"20,646\",\"19,836\",810,4.1\n68,\"Jefferson County, TX\",16.3,6.2,\"108,633\",73.8,\"41,142\",16.3,\"104,826\",\"102,080\",\"2,746\",2.7\n69,\"Orange County, TX .\",11.0,2.1,\"38,778\",75.7,\"11,518\",13.6,\"35,822\",\"34,781\",\"1,041\",3.0\n70,\"Bellingham, WA.\",27.2,9.8,\"87,365\",68.8,\"23,003\",13.8,\"80,637\",\"73,897\",\"6,740\",9.1\n71,\"Whatcom County, WA\",27.2,9.8,\"87,365\",68.8,\"23,003\",13.8,\"80,637\",\"73,897\",\"6,740\",9.1\n72,\"Bend, OR.\",25.0,2.8,\"58,836\",69.9,\"10,613\",9.2,\"64,861\",\"54,583\",\"10,278\",18.8\n73,\"Deschutes County, OR\",25.0,2.8,\"58,836\",69.9,\"10,613\",9.2,\"64,861\",\"54,583\",\"10,278\",18.8\n74,\"Billings, MT.\",26.2,1.4,\"73,490\",75.6,\"15,121\",10.9,\"62,462\",\"60,057\",\"2,405\",4.0\n75,\"Carbon County, MT.\",23.3,1.6,\"4,792\",61.6,\"1,089\",11.4,\"5,571\",\"5,494\",77,1.4\n76,\"Yellowstone County, MT\",26.4,1.4,\"68,698\",76.6,\"14,032\",10.8,\"56,891\",\"54,563\",\"2,328\",4.3\n77,\"Binghamton, NY\",22.0,4.5,\"122,581\",74.0,\"28,854\",11.4,\"110,575\",\"110,227\",348,0.3\n78,\"Broome County, NY\",22.7,5.3,\"96,563\",73.8,\"24,559\",12.2,\"88,931\",\"88,817\",114,0.1\n79,\"Tioga County, NY .\",19.7,1.7,\"26,018\",75.0,\"4,295\",8.3,\"21,644\",\"21,410\",234,1.1\n` \\n\\nQuestion: `Is the \"Number\" of \"Housing units\" for Gwinnett County, GA. higher than 20,000`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10\n0,Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county,2000,__,__,__,Persons below poverty level in 1999,__,Housing units,__,__,__\n1,__,\"Educational attainment, percent with bachelor's degree or higher1\",Percent foreign born,Workers 16 years and over Percent of workers,__,Total persons,Percent of persons below poverty level in 1999,2004 (July 1),20002 (estimates base),Change 2000-20043,__\n2,__,__,__,Total workers,who drove alone to work,__,__,__,__,Number,Percent\n3,\"Atlanta-Sandy Springs-Marietta, GA-Con.\",,,,,,,,,,\n4,\"Fayette County, GA.\",36.2,5.0,\"47,090\",81.2,\"2,386\",2.6,\"36,583\",\"32,726\",\"3,857\",11.8\n5,\"Forsyth County, GA\",34.6,6.0,\"52,904\",79.0,\"5,382\",5.5,\"48,580\",\"36,505\",\"12,075\",33.1\n6,\"Fulton County, GA\",41.4,9.6,\"431,553\",63.8,\"124,241\",15.2,\"389,799\",\"348,634\",\"41,165\",11.8\n7,\"Gwinnett County, GA.\",34.1,16.9,\"325,379\",75.9,\"33,067\",5.6,\"255,265\",\"209,682\",\"45,583\",21.7\n8,\"Haralson County, GA.\",9.0,0.9,\"11,751\",71.2,\"3,914\",15.2,\"11,484\",\"10,719\",765,7.1\n9,\"Heard County, GA.\",7.3,0.7,\"4,902\",66.6,\"1,480\",13.4,\"4,789\",\"4,512\",277,6.1\n10,\"Henry County, GA.\",19.5,3.4,\"63,081\",79.4,\"5,821\",4.9,\"60,841\",\"43,166\",\"17,675\",40.9\n11,\"Jasper County, GA\",11.5,2.1,\"5,517\",69.2,\"1,604\",14.0,\"5,516\",\"4,806\",710,14.8\n12,\"Lamar County, GA\",11.3,1.0,\"7,667\",71.9,\"1,682\",10.6,\"6,752\",\"6,145\",607,9.9\n13,\"Meriwether County, GA\",10.8,0.7,\"9,845\",69.1,\"3,931\",17.4,\"10,016\",\"9,211\",805,8.7\n14,\"Newton County, GA.\",14.5,2.5,\"30,745\",75.6,\"6,079\",9.8,\"31,526\",\"23,033\",\"8,493\",36.9\n15,\"Paulding County, GA\",15.2,2.1,\"42,755\",79.8,\"4,454\",5.5,\"40,815\",\"29,241\",\"11,574\",39.6\n16,\"Pickens County, GA\",15.6,2.0,\"11,542\",75.8,\"2,080\",9.1,\"12,638\",\"10,687\",\"1,951\",18.3\n17,\"Pike County, GA.\",14.0,1.0,\"6,544\",75.0,\"1,275\",9.3,5.978,\"5,068\",910,18.0\n18,\"Rockdale County, GA\",23.4,7.6,\"35,166\",74.7,\"5,673\",8.1,\"28,634\",\"25,082\",3.552,14.2\n19,\"Spalding County, GA\",12.5,2.2,\"27,148\",69.9,\"8,856\",15.2,\"24,916\",\"23,001\",\"1,915\",8.3\n20,\"Walton County, GA\",13.0,2.0,\"30,409\",75.5,\"5,829\",9.6,\"27,801\",\"22,500\",\"5,301\",23.6\n21,\"Atlantic City, NJ.\",18.7,11.8,\"125,696\",65.5,\"25,906\",10.3,\"121,192\",\"114,090\",\"7,102\",6.2\n22,\"Atlantic County, NJ .\",18.7,11.8,\"125,696\",65.5,\"25,906\",10.3,\"121,192\",\"114,090\",\"7,102\",6.2\n23,\"Auburn-Opelika, AL\",27.9,2.7,\"56,547\",77.6,\"24,119\",21.0,\"55,546\",\"50,329\",\"5,217\",10.4\n24,\"Lee County, AL.\",27.9,2.7,\"56,547\",77.6,\"24,119\",21.0,\"55,546\",\"50,329\",\"5,217\",10.4\n25,\"Augusta-Richmond County, GA-SC .\",20.4,3.0,\"237,567\",73.5,\"74,945\",15.0,\"216,791\",\"204,600\",\"12,191\",6.0\n26,\"Burke County, GA.\",9.5,0.8,\"9,108\",70.3,\"6,348\",28.5,\"9,106\",\"8,842\",264,3.0\n27,\"Columbia County, GA\",32.0,4.8,\"45,831\",81.8,\"4,540\",5.1,\"38,363\",\"33,321\",\"5,042\",15.1\n28,\"McDuffie County, GA\",11.7,0.6,\"9,712\",72.1,\"3,882\",18.3,\"9,200\",\"8,916\",284,3.2\n29,\"Richmond County, GA\",18.7,3.4,\"94,690\",68.5,\"37,313\",18.7,\"85,111\",\"82,312\",\"2,799\",3.4\n30,\"Aiken County, SC .\",19.9,2.3,\"67,969\",75.4,\"19,455\",13.6,\"65,372\",\"61,987\",\"3,385\",5.5\n31,\"Edgefield County, SC\",12.5,1.3,\"10,257\",74.1,\"3,407\",13.9,\"9,639\",\"9,222\",417,4.5\n32,\"Austin-Round Rock, TX.\",36.7,12.2,\"689,602\",72.0,\"134,589\",10.8,\"573,921\",\"496,004\",\"77,917\",15.7\n33,\"Bastrop County, TX.\",17.0,8.1,\"27,642\",70.5,\"6,456\",11.2,\"23,929\",\"22,254\",1.675,7.5\n34,\"Caldwell County, TX\",13.3,5.1,\"14,206\",69.7,\"3,971\",12.3,\"12,838\",\"11,901\",937,7.9\n35,\"Hays County, TX\",31.3,5.6,\"53,942\",70.3,\"13,039\n:selected:\",13.4,\"42,338\",\"35,643\",\"6,695\",18.8\n36,\"Travis County, TX .\",40.6,15.1,\"460,525\",70.5,\"99,388\",12.2,\"381,542\",\"335,881\",\"45,661\",13.6\n37,\"Williamson County, TX.\",33.6,7.4,\"133,287\",78.7,\"11,735\",4.7,\"113,274\",\"90,325\",\"22,949\",25.4\n38,\"Bakersfield, CA\",13.5,16.9,\"267,603\",63.4,\"130,949\",19.8,\"247,426\",\"231,567\",\"15,859\",6.8\n39,\"Kern County, CA.\",13.5,16.9,\"267,603\",63.4,\"130,949\",19.8,\"247,426\n:selected:\",\"231,567\",\"15,859\",6.8\n40,\"Baltimore-Towson, MD\",29.2,5.7,\"1,313,310\",70.4,\"243,792\",9.5,\"1,082,523\",\"1,048,046\",\"34,477\",3.3\n41,\"Anne Arundel County, MD\",30.6,4.7,\"269,772\",76.1,\"24,335\",5.0,\"197,331\",\"186,937\",\"10,394\",5.6\n42,\"Baltimore County, MD\",30.6,7.1,\"396,897\",75.0,\"47,603\",6.3,\"323,070\",\"313,734\",\"9,336\",3.0\n43,\"Carroll County, MD\",24.8,2.0,\"80,767\",79.8,\"5,617\",3.7,\"59,496\",\"54,260\",\"5,236\",9.6\n44,\"Harford County, MD\",27.3,3.4,\"116,981\",79.6,\"10,695\",4.9,\"90,415\",\"83,146\",\"7,269\",8.7\n45,\"Howard County, MD\",52.9,11.3,\"139,885\",79.0,\"9,491\",3.8,\"99,415\",\"92,818\",\"6,597\",7.1\n46,\"Queen Anne's County, MD\",25.4,2.4,\"21,849\",75.6,\"2,537\",6.3,\"18,454\",\"16,674\",\"1,780\",10.7\n47,\"Baltimore city, MD.\",19.1,4.6,\"287,159\",47.5,\"143,514\",22.0,\"294,342\",\"300,477\",\"-6,135\",-2.0\n48,\"Bangor, ME\",20.3,2.5,\"74,297\",73.2,\"18,956\",13.1,\"68,727\",\"66,847\",\"1,880\",2.8\n49,\"Penobscot County, ME\",20.3,2.5,\"74,297\",73.2,\"18,956\",13.1,\"68,727\",\"66,847\",\"1,880\",2.8\n50,\"Barnstable Town, MA\",33.6,4.9,\"107,184\",75.3,\"15,021\",6.8,\"152,583\",\"147,083\",\"5,500\",3.7\n51,\"Barnstable County, MA\",33.6,4.9,\"107,184\",75.3,\"15,021\",6.8,\"152,583\",\"147,083\",\"5,500\",3.7\n52,\"Baton Rouge, LA.\",22.8,2.6,\"335,375\",75.3,\"116,199\",16.5,\"300,066\",\"282,511\",\"17,555\",6.2\n53,\"Ascension Parish, LA\",14.5,1.8,\"37,203\",79.1,\"9,808\",12.8,\"33,424\",\"29,172\",\"4,252\",14.6\n54,\"East Baton Rouge Parish, LA\",30.8,3.7,\"205,905\",74.6,\"71,276\",17.3,\"176,463\",\"169,073\",\"7,390\",4.4\n55,\"East Feliciana Parish, LA\",11.3,0.6,\"8,557\",70.4,\"4,352\",20.4,\"8,139\",\"7,915\",224,2.8\n56,\"Iberville Parish, LA\",9.6,0.7,\"12,364\",73.1,\"6,909\",20.7,\"12,328\",\"11,953\",375,3.1\n57,\"Livingston Parish, LA.\",11.4,0.8,\"42,978\",77.8,\"10,339\",11.3,\"40,312\",\"36,212\",\"4,100\",11.3\n58,\"Pointe Coupee Parish, LA\",12.8,0.9,\"9,626\",72.4,\"5,172\",22.7,\"10,724\",\"10,297\",427,4.1\n59,\"St. Helena Parish, LA\",11.2,0.3,\"4,135\",69.2,\"2,804\",26.6,\"5,145\",\"5,034\",111,2.2\n60,\"West Baton Rouge Parish, LA.\",11.1,0.9,\"9,976\",76.0,\"3,564\",16.5,\"8,776\",\"8,370\",406,4.9\n61,\"West Feliciana Parish, LA\",10.6,0.5,\"4,631\",77.2,\"1,975\",13.1,\"4,755\",\"4,485\",270,6.0\n62,\"Battle Creek, MI\",16.0,2.4,\"66,943\",75.7,\"15,094\",10.9,\"60,208\",\"58,691\",\"1,517\",2.6\n63,\"Calhoun County, MI.\",16.0,2.4,\"66,943\",75.7,\"15,094\",10.9,\"60,208\",\"58,691\",\"1,517\",2.6\n64,\"Bay City, MI\",14.2,1.4,\"54,312\",80.5,\"10,605\",9.6,\"47,617\",\"46,423\",\"1,194\",2.6\n65,\"Bay County, MI.\",14.2,1.4,\"54,312\",80.5,\"10,605\",9.6,\"47,617\",\"46,423\",\"1,194\",2.6\n66,\"Beaumont-Port Arthur, TX\",14.7,4.7,\"169,288\",74.9,\"57,974\",15.1,\"161,294\",\"156,697\",\"4,597\",2.9\n67,\"Hardin County, TX\",13.0,1.3,\"21,877\",78.5,\"5,314\",11.1,\"20,646\",\"19,836\",810,4.1\n68,\"Jefferson County, TX\",16.3,6.2,\"108,633\",73.8,\"41,142\",16.3,\"104,826\",\"102,080\",\"2,746\",2.7\n69,\"Orange County, TX .\",11.0,2.1,\"38,778\",75.7,\"11,518\",13.6,\"35,822\",\"34,781\",\"1,041\",3.0\n70,\"Bellingham, WA.\",27.2,9.8,\"87,365\",68.8,\"23,003\",13.8,\"80,637\",\"73,897\",\"6,740\",9.1\n71,\"Whatcom County, WA\",27.2,9.8,\"87,365\",68.8,\"23,003\",13.8,\"80,637\",\"73,897\",\"6,740\",9.1\n72,\"Bend, OR.\",25.0,2.8,\"58,836\",69.9,\"10,613\",9.2,\"64,861\",\"54,583\",\"10,278\",18.8\n73,\"Deschutes County, OR\",25.0,2.8,\"58,836\",69.9,\"10,613\",9.2,\"64,861\",\"54,583\",\"10,278\",18.8\n74,\"Billings, MT.\",26.2,1.4,\"73,490\",75.6,\"15,121\",10.9,\"62,462\",\"60,057\",\"2,405\",4.0\n75,\"Carbon County, MT.\",23.3,1.6,\"4,792\",61.6,\"1,089\",11.4,\"5,571\",\"5,494\",77,1.4\n76,\"Yellowstone County, MT\",26.4,1.4,\"68,698\",76.6,\"14,032\",10.8,\"56,891\",\"54,563\",\"2,328\",4.3\n77,\"Binghamton, NY\",22.0,4.5,\"122,581\",74.0,\"28,854\",11.4,\"110,575\",\"110,227\",348,0.3\n78,\"Broome County, NY\",22.7,5.3,\"96,563\",73.8,\"24,559\",12.2,\"88,931\",\"88,817\",114,0.1\n79,\"Tioga County, NY .\",19.7,1.7,\"26,018\",75.0,\"4,295\",8.3,\"21,644\",\"21,410\",234,1.1\n` \\n\\nQuestion: `Is the \"Number\" of \"Housing units\" for Gwinnett County, GA. higher than 20,000`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
census--2--491
|
./tables/csvs/census--2--491.csv
|
./tables/images/census--2--491.jpg
|
,0,1,2,3,4,5,6,7,8,9,10
0,Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county,2000,__,__,__,Persons below poverty level in 1999,__,Housing units,__,__,__
1,__,"Educational attainment, percent with bachelor's degree or higher1",Percent foreign born,Workers 16 years and over Percent of workers,__,Total persons,Percent of persons below poverty level in 1999,2004 (July 1),20002 (estimates base),Change 2000-20043,__
2,__,__,__,Total workers,who drove alone to work,__,__,__,__,Number,Percent
3,"Atlanta-Sandy Springs-Marietta, GA-Con.",,,,,,,,,,
4,"Fayette County, GA.",36.2,5.0,"47,090",81.2,"2,386",2.6,"36,583","32,726","3,857",11.8
5,"Forsyth County, GA",34.6,6.0,"52,904",79.0,"5,382",5.5,"48,580","36,505","12,075",33.1
6,"Fulton County, GA",41.4,9.6,"431,553",63.8,"124,241",15.2,"389,799","348,634","41,165",11.8
7,"Gwinnett County, GA.",34.1,16.9,"325,379",75.9,"33,067",5.6,"255,265","209,682","45,583",21.7
8,"Haralson County, GA.",9.0,0.9,"11,751",71.2,"3,914",15.2,"11,484","10,719",765,7.1
9,"Heard County, GA.",7.3,0.7,"4,902",66.6,"1,480",13.4,"4,789","4,512",277,6.1
10,"Henry County, GA.",19.5,3.4,"63,081",79.4,"5,821",4.9,"60,841","43,166","17,675",40.9
11,"Jasper County, GA",11.5,2.1,"5,517",69.2,"1,604",14.0,"5,516","4,806",710,14.8
12,"Lamar County, GA",11.3,1.0,"7,667",71.9,"1,682",10.6,"6,752","6,145",607,9.9
13,"Meriwether County, GA",10.8,0.7,"9,845",69.1,"3,931",17.4,"10,016","9,211",805,8.7
14,"Newton County, GA.",14.5,2.5,"30,745",75.6,"6,079",9.8,"31,526","23,033","8,493",36.9
15,"Paulding County, GA",15.2,2.1,"42,755",79.8,"4,454",5.5,"40,815","29,241","11,574",39.6
16,"Pickens County, GA",15.6,2.0,"11,542",75.8,"2,080",9.1,"12,638","10,687","1,951",18.3
17,"Pike County, GA.",14.0,1.0,"6,544",75.0,"1,275",9.3,5.978,"5,068",910,18.0
18,"Rockdale County, GA",23.4,7.6,"35,166",74.7,"5,673",8.1,"28,634","25,082",3.552,14.2
19,"Spalding County, GA",12.5,2.2,"27,148",69.9,"8,856",15.2,"24,916","23,001","1,915",8.3
20,"Walton County, GA",13.0,2.0,"30,409",75.5,"5,829",9.6,"27,801","22,500","5,301",23.6
21,"Atlantic City, NJ.",18.7,11.8,"125,696",65.5,"25,906",10.3,"121,192","114,090","7,102",6.2
22,"Atlantic County, NJ .",18.7,11.8,"125,696",65.5,"25,906",10.3,"121,192","114,090","7,102",6.2
23,"Auburn-Opelika, AL",27.9,2.7,"56,547",77.6,"24,119",21.0,"55,546","50,329","5,217",10.4
24,"Lee County, AL.",27.9,2.7,"56,547",77.6,"24,119",21.0,"55,546","50,329","5,217",10.4
25,"Augusta-Richmond County, GA-SC .",20.4,3.0,"237,567",73.5,"74,945",15.0,"216,791","204,600","12,191",6.0
26,"Burke County, GA.",9.5,0.8,"9,108",70.3,"6,348",28.5,"9,106","8,842",264,3.0
27,"Columbia County, GA",32.0,4.8,"45,831",81.8,"4,540",5.1,"38,363","33,321","5,042",15.1
28,"McDuffie County, GA",11.7,0.6,"9,712",72.1,"3,882",18.3,"9,200","8,916",284,3.2
29,"Richmond County, GA",18.7,3.4,"94,690",68.5,"37,313",18.7,"85,111","82,312","2,799",3.4
30,"Aiken County, SC .",19.9,2.3,"67,969",75.4,"19,455",13.6,"65,372","61,987","3,385",5.5
31,"Edgefield County, SC",12.5,1.3,"10,257",74.1,"3,407",13.9,"9,639","9,222",417,4.5
32,"Austin-Round Rock, TX.",36.7,12.2,"689,602",72.0,"134,589",10.8,"573,921","496,004","77,917",15.7
33,"Bastrop County, TX.",17.0,8.1,"27,642",70.5,"6,456",11.2,"23,929","22,254",1.675,7.5
34,"Caldwell County, TX",13.3,5.1,"14,206",69.7,"3,971",12.3,"12,838","11,901",937,7.9
35,"Hays County, TX",31.3,5.6,"53,942",70.3,"13,039
:selected:",13.4,"42,338","35,643","6,695",18.8
36,"Travis County, TX .",40.6,15.1,"460,525",70.5,"99,388",12.2,"381,542","335,881","45,661",13.6
37,"Williamson County, TX.",33.6,7.4,"133,287",78.7,"11,735",4.7,"113,274","90,325","22,949",25.4
38,"Bakersfield, CA",13.5,16.9,"267,603",63.4,"130,949",19.8,"247,426","231,567","15,859",6.8
39,"Kern County, CA.",13.5,16.9,"267,603",63.4,"130,949",19.8,"247,426
:selected:","231,567","15,859",6.8
40,"Baltimore-Towson, MD",29.2,5.7,"1,313,310",70.4,"243,792",9.5,"1,082,523","1,048,046","34,477",3.3
41,"Anne Arundel County, MD",30.6,4.7,"269,772",76.1,"24,335",5.0,"197,331","186,937","10,394",5.6
42,"Baltimore County, MD",30.6,7.1,"396,897",75.0,"47,603",6.3,"323,070","313,734","9,336",3.0
43,"Carroll County, MD",24.8,2.0,"80,767",79.8,"5,617",3.7,"59,496","54,260","5,236",9.6
44,"Harford County, MD",27.3,3.4,"116,981",79.6,"10,695",4.9,"90,415","83,146","7,269",8.7
45,"Howard County, MD",52.9,11.3,"139,885",79.0,"9,491",3.8,"99,415","92,818","6,597",7.1
46,"Queen Anne's County, MD",25.4,2.4,"21,849",75.6,"2,537",6.3,"18,454","16,674","1,780",10.7
47,"Baltimore city, MD.",19.1,4.6,"287,159",47.5,"143,514",22.0,"294,342","300,477","-6,135",-2.0
48,"Bangor, ME",20.3,2.5,"74,297",73.2,"18,956",13.1,"68,727","66,847","1,880",2.8
49,"Penobscot County, ME",20.3,2.5,"74,297",73.2,"18,956",13.1,"68,727","66,847","1,880",2.8
50,"Barnstable Town, MA",33.6,4.9,"107,184",75.3,"15,021",6.8,"152,583","147,083","5,500",3.7
51,"Barnstable County, MA",33.6,4.9,"107,184",75.3,"15,021",6.8,"152,583","147,083","5,500",3.7
52,"Baton Rouge, LA.",22.8,2.6,"335,375",75.3,"116,199",16.5,"300,066","282,511","17,555",6.2
53,"Ascension Parish, LA",14.5,1.8,"37,203",79.1,"9,808",12.8,"33,424","29,172","4,252",14.6
54,"East Baton Rouge Parish, LA",30.8,3.7,"205,905",74.6,"71,276",17.3,"176,463","169,073","7,390",4.4
55,"East Feliciana Parish, LA",11.3,0.6,"8,557",70.4,"4,352",20.4,"8,139","7,915",224,2.8
56,"Iberville Parish, LA",9.6,0.7,"12,364",73.1,"6,909",20.7,"12,328","11,953",375,3.1
57,"Livingston Parish, LA.",11.4,0.8,"42,978",77.8,"10,339",11.3,"40,312","36,212","4,100",11.3
58,"Pointe Coupee Parish, LA",12.8,0.9,"9,626",72.4,"5,172",22.7,"10,724","10,297",427,4.1
59,"St. Helena Parish, LA",11.2,0.3,"4,135",69.2,"2,804",26.6,"5,145","5,034",111,2.2
60,"West Baton Rouge Parish, LA.",11.1,0.9,"9,976",76.0,"3,564",16.5,"8,776","8,370",406,4.9
61,"West Feliciana Parish, LA",10.6,0.5,"4,631",77.2,"1,975",13.1,"4,755","4,485",270,6.0
62,"Battle Creek, MI",16.0,2.4,"66,943",75.7,"15,094",10.9,"60,208","58,691","1,517",2.6
63,"Calhoun County, MI.",16.0,2.4,"66,943",75.7,"15,094",10.9,"60,208","58,691","1,517",2.6
64,"Bay City, MI",14.2,1.4,"54,312",80.5,"10,605",9.6,"47,617","46,423","1,194",2.6
65,"Bay County, MI.",14.2,1.4,"54,312",80.5,"10,605",9.6,"47,617","46,423","1,194",2.6
66,"Beaumont-Port Arthur, TX",14.7,4.7,"169,288",74.9,"57,974",15.1,"161,294","156,697","4,597",2.9
67,"Hardin County, TX",13.0,1.3,"21,877",78.5,"5,314",11.1,"20,646","19,836",810,4.1
68,"Jefferson County, TX",16.3,6.2,"108,633",73.8,"41,142",16.3,"104,826","102,080","2,746",2.7
69,"Orange County, TX .",11.0,2.1,"38,778",75.7,"11,518",13.6,"35,822","34,781","1,041",3.0
70,"Bellingham, WA.",27.2,9.8,"87,365",68.8,"23,003",13.8,"80,637","73,897","6,740",9.1
71,"Whatcom County, WA",27.2,9.8,"87,365",68.8,"23,003",13.8,"80,637","73,897","6,740",9.1
72,"Bend, OR.",25.0,2.8,"58,836",69.9,"10,613",9.2,"64,861","54,583","10,278",18.8
73,"Deschutes County, OR",25.0,2.8,"58,836",69.9,"10,613",9.2,"64,861","54,583","10,278",18.8
74,"Billings, MT.",26.2,1.4,"73,490",75.6,"15,121",10.9,"62,462","60,057","2,405",4.0
75,"Carbon County, MT.",23.3,1.6,"4,792",61.6,"1,089",11.4,"5,571","5,494",77,1.4
76,"Yellowstone County, MT",26.4,1.4,"68,698",76.6,"14,032",10.8,"56,891","54,563","2,328",4.3
77,"Binghamton, NY",22.0,4.5,"122,581",74.0,"28,854",11.4,"110,575","110,227",348,0.3
78,"Broome County, NY",22.7,5.3,"96,563",73.8,"24,559",12.2,"88,931","88,817",114,0.1
79,"Tioga County, NY .",19.7,1.7,"26,018",75.0,"4,295",8.3,"21,644","21,410",234,1.1
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": true, "Asymmetric Multi Level Column": true, "Column Aggregation": true, "Global Column Aggregation": false, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": true, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": false, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": true, "Split Header Cell": false, "Row Group Label": true}
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census--2--491--M0
|
Among the Metropolitan areas that include "TX" in their names, which Metropolitan area has the lowest "Percent foreign born" under 2000
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": true, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "1", "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": true, "Row Filter Num Of Conditions": "1", "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": "1", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": true, "Aggregation Aggregation On Plain": true, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": true, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": true, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": true, "Aggregation Num Of Aggregations": "1", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
{Hardin County, TX}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10\n0,Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county,2000,__,__,__,Persons below poverty level in 1999,__,Housing units,__,__,__\n1,__,\"Educational attainment, percent with bachelor's degree or higher1\",Percent foreign born,Workers 16 years and over Percent of workers,__,Total persons,Percent of persons below poverty level in 1999,2004 (July 1),20002 (estimates base),Change 2000-20043,__\n2,__,__,__,Total workers,who drove alone to work,__,__,__,__,Number,Percent\n3,\"Atlanta-Sandy Springs-Marietta, GA-Con.\",,,,,,,,,,\n4,\"Fayette County, GA.\",36.2,5.0,\"47,090\",81.2,\"2,386\",2.6,\"36,583\",\"32,726\",\"3,857\",11.8\n5,\"Forsyth County, GA\",34.6,6.0,\"52,904\",79.0,\"5,382\",5.5,\"48,580\",\"36,505\",\"12,075\",33.1\n6,\"Fulton County, GA\",41.4,9.6,\"431,553\",63.8,\"124,241\",15.2,\"389,799\",\"348,634\",\"41,165\",11.8\n7,\"Gwinnett County, GA.\",34.1,16.9,\"325,379\",75.9,\"33,067\",5.6,\"255,265\",\"209,682\",\"45,583\",21.7\n8,\"Haralson County, GA.\",9.0,0.9,\"11,751\",71.2,\"3,914\",15.2,\"11,484\",\"10,719\",765,7.1\n9,\"Heard County, GA.\",7.3,0.7,\"4,902\",66.6,\"1,480\",13.4,\"4,789\",\"4,512\",277,6.1\n10,\"Henry County, GA.\",19.5,3.4,\"63,081\",79.4,\"5,821\",4.9,\"60,841\",\"43,166\",\"17,675\",40.9\n11,\"Jasper County, GA\",11.5,2.1,\"5,517\",69.2,\"1,604\",14.0,\"5,516\",\"4,806\",710,14.8\n12,\"Lamar County, GA\",11.3,1.0,\"7,667\",71.9,\"1,682\",10.6,\"6,752\",\"6,145\",607,9.9\n13,\"Meriwether County, GA\",10.8,0.7,\"9,845\",69.1,\"3,931\",17.4,\"10,016\",\"9,211\",805,8.7\n14,\"Newton County, GA.\",14.5,2.5,\"30,745\",75.6,\"6,079\",9.8,\"31,526\",\"23,033\",\"8,493\",36.9\n15,\"Paulding County, GA\",15.2,2.1,\"42,755\",79.8,\"4,454\",5.5,\"40,815\",\"29,241\",\"11,574\",39.6\n16,\"Pickens County, GA\",15.6,2.0,\"11,542\",75.8,\"2,080\",9.1,\"12,638\",\"10,687\",\"1,951\",18.3\n17,\"Pike County, GA.\",14.0,1.0,\"6,544\",75.0,\"1,275\",9.3,5.978,\"5,068\",910,18.0\n18,\"Rockdale County, GA\",23.4,7.6,\"35,166\",74.7,\"5,673\",8.1,\"28,634\",\"25,082\",3.552,14.2\n19,\"Spalding County, GA\",12.5,2.2,\"27,148\",69.9,\"8,856\",15.2,\"24,916\",\"23,001\",\"1,915\",8.3\n20,\"Walton County, GA\",13.0,2.0,\"30,409\",75.5,\"5,829\",9.6,\"27,801\",\"22,500\",\"5,301\",23.6\n21,\"Atlantic City, NJ.\",18.7,11.8,\"125,696\",65.5,\"25,906\",10.3,\"121,192\",\"114,090\",\"7,102\",6.2\n22,\"Atlantic County, NJ .\",18.7,11.8,\"125,696\",65.5,\"25,906\",10.3,\"121,192\",\"114,090\",\"7,102\",6.2\n23,\"Auburn-Opelika, AL\",27.9,2.7,\"56,547\",77.6,\"24,119\",21.0,\"55,546\",\"50,329\",\"5,217\",10.4\n24,\"Lee County, AL.\",27.9,2.7,\"56,547\",77.6,\"24,119\",21.0,\"55,546\",\"50,329\",\"5,217\",10.4\n25,\"Augusta-Richmond County, GA-SC .\",20.4,3.0,\"237,567\",73.5,\"74,945\",15.0,\"216,791\",\"204,600\",\"12,191\",6.0\n26,\"Burke County, GA.\",9.5,0.8,\"9,108\",70.3,\"6,348\",28.5,\"9,106\",\"8,842\",264,3.0\n27,\"Columbia County, GA\",32.0,4.8,\"45,831\",81.8,\"4,540\",5.1,\"38,363\",\"33,321\",\"5,042\",15.1\n28,\"McDuffie County, GA\",11.7,0.6,\"9,712\",72.1,\"3,882\",18.3,\"9,200\",\"8,916\",284,3.2\n29,\"Richmond County, GA\",18.7,3.4,\"94,690\",68.5,\"37,313\",18.7,\"85,111\",\"82,312\",\"2,799\",3.4\n30,\"Aiken County, SC .\",19.9,2.3,\"67,969\",75.4,\"19,455\",13.6,\"65,372\",\"61,987\",\"3,385\",5.5\n31,\"Edgefield County, SC\",12.5,1.3,\"10,257\",74.1,\"3,407\",13.9,\"9,639\",\"9,222\",417,4.5\n32,\"Austin-Round Rock, TX.\",36.7,12.2,\"689,602\",72.0,\"134,589\",10.8,\"573,921\",\"496,004\",\"77,917\",15.7\n33,\"Bastrop County, TX.\",17.0,8.1,\"27,642\",70.5,\"6,456\",11.2,\"23,929\",\"22,254\",1.675,7.5\n34,\"Caldwell County, TX\",13.3,5.1,\"14,206\",69.7,\"3,971\",12.3,\"12,838\",\"11,901\",937,7.9\n35,\"Hays County, TX\",31.3,5.6,\"53,942\",70.3,\"13,039\n:selected:\",13.4,\"42,338\",\"35,643\",\"6,695\",18.8\n36,\"Travis County, TX .\",40.6,15.1,\"460,525\",70.5,\"99,388\",12.2,\"381,542\",\"335,881\",\"45,661\",13.6\n37,\"Williamson County, TX.\",33.6,7.4,\"133,287\",78.7,\"11,735\",4.7,\"113,274\",\"90,325\",\"22,949\",25.4\n38,\"Bakersfield, CA\",13.5,16.9,\"267,603\",63.4,\"130,949\",19.8,\"247,426\",\"231,567\",\"15,859\",6.8\n39,\"Kern County, CA.\",13.5,16.9,\"267,603\",63.4,\"130,949\",19.8,\"247,426\n:selected:\",\"231,567\",\"15,859\",6.8\n40,\"Baltimore-Towson, MD\",29.2,5.7,\"1,313,310\",70.4,\"243,792\",9.5,\"1,082,523\",\"1,048,046\",\"34,477\",3.3\n41,\"Anne Arundel County, MD\",30.6,4.7,\"269,772\",76.1,\"24,335\",5.0,\"197,331\",\"186,937\",\"10,394\",5.6\n42,\"Baltimore County, MD\",30.6,7.1,\"396,897\",75.0,\"47,603\",6.3,\"323,070\",\"313,734\",\"9,336\",3.0\n43,\"Carroll County, MD\",24.8,2.0,\"80,767\",79.8,\"5,617\",3.7,\"59,496\",\"54,260\",\"5,236\",9.6\n44,\"Harford County, MD\",27.3,3.4,\"116,981\",79.6,\"10,695\",4.9,\"90,415\",\"83,146\",\"7,269\",8.7\n45,\"Howard County, MD\",52.9,11.3,\"139,885\",79.0,\"9,491\",3.8,\"99,415\",\"92,818\",\"6,597\",7.1\n46,\"Queen Anne's County, MD\",25.4,2.4,\"21,849\",75.6,\"2,537\",6.3,\"18,454\",\"16,674\",\"1,780\",10.7\n47,\"Baltimore city, MD.\",19.1,4.6,\"287,159\",47.5,\"143,514\",22.0,\"294,342\",\"300,477\",\"-6,135\",-2.0\n48,\"Bangor, ME\",20.3,2.5,\"74,297\",73.2,\"18,956\",13.1,\"68,727\",\"66,847\",\"1,880\",2.8\n49,\"Penobscot County, ME\",20.3,2.5,\"74,297\",73.2,\"18,956\",13.1,\"68,727\",\"66,847\",\"1,880\",2.8\n50,\"Barnstable Town, MA\",33.6,4.9,\"107,184\",75.3,\"15,021\",6.8,\"152,583\",\"147,083\",\"5,500\",3.7\n51,\"Barnstable County, MA\",33.6,4.9,\"107,184\",75.3,\"15,021\",6.8,\"152,583\",\"147,083\",\"5,500\",3.7\n52,\"Baton Rouge, LA.\",22.8,2.6,\"335,375\",75.3,\"116,199\",16.5,\"300,066\",\"282,511\",\"17,555\",6.2\n53,\"Ascension Parish, LA\",14.5,1.8,\"37,203\",79.1,\"9,808\",12.8,\"33,424\",\"29,172\",\"4,252\",14.6\n54,\"East Baton Rouge Parish, LA\",30.8,3.7,\"205,905\",74.6,\"71,276\",17.3,\"176,463\",\"169,073\",\"7,390\",4.4\n55,\"East Feliciana Parish, LA\",11.3,0.6,\"8,557\",70.4,\"4,352\",20.4,\"8,139\",\"7,915\",224,2.8\n56,\"Iberville Parish, LA\",9.6,0.7,\"12,364\",73.1,\"6,909\",20.7,\"12,328\",\"11,953\",375,3.1\n57,\"Livingston Parish, LA.\",11.4,0.8,\"42,978\",77.8,\"10,339\",11.3,\"40,312\",\"36,212\",\"4,100\",11.3\n58,\"Pointe Coupee Parish, LA\",12.8,0.9,\"9,626\",72.4,\"5,172\",22.7,\"10,724\",\"10,297\",427,4.1\n59,\"St. Helena Parish, LA\",11.2,0.3,\"4,135\",69.2,\"2,804\",26.6,\"5,145\",\"5,034\",111,2.2\n60,\"West Baton Rouge Parish, LA.\",11.1,0.9,\"9,976\",76.0,\"3,564\",16.5,\"8,776\",\"8,370\",406,4.9\n61,\"West Feliciana Parish, LA\",10.6,0.5,\"4,631\",77.2,\"1,975\",13.1,\"4,755\",\"4,485\",270,6.0\n62,\"Battle Creek, MI\",16.0,2.4,\"66,943\",75.7,\"15,094\",10.9,\"60,208\",\"58,691\",\"1,517\",2.6\n63,\"Calhoun County, MI.\",16.0,2.4,\"66,943\",75.7,\"15,094\",10.9,\"60,208\",\"58,691\",\"1,517\",2.6\n64,\"Bay City, MI\",14.2,1.4,\"54,312\",80.5,\"10,605\",9.6,\"47,617\",\"46,423\",\"1,194\",2.6\n65,\"Bay County, MI.\",14.2,1.4,\"54,312\",80.5,\"10,605\",9.6,\"47,617\",\"46,423\",\"1,194\",2.6\n66,\"Beaumont-Port Arthur, TX\",14.7,4.7,\"169,288\",74.9,\"57,974\",15.1,\"161,294\",\"156,697\",\"4,597\",2.9\n67,\"Hardin County, TX\",13.0,1.3,\"21,877\",78.5,\"5,314\",11.1,\"20,646\",\"19,836\",810,4.1\n68,\"Jefferson County, TX\",16.3,6.2,\"108,633\",73.8,\"41,142\",16.3,\"104,826\",\"102,080\",\"2,746\",2.7\n69,\"Orange County, TX .\",11.0,2.1,\"38,778\",75.7,\"11,518\",13.6,\"35,822\",\"34,781\",\"1,041\",3.0\n70,\"Bellingham, WA.\",27.2,9.8,\"87,365\",68.8,\"23,003\",13.8,\"80,637\",\"73,897\",\"6,740\",9.1\n71,\"Whatcom County, WA\",27.2,9.8,\"87,365\",68.8,\"23,003\",13.8,\"80,637\",\"73,897\",\"6,740\",9.1\n72,\"Bend, OR.\",25.0,2.8,\"58,836\",69.9,\"10,613\",9.2,\"64,861\",\"54,583\",\"10,278\",18.8\n73,\"Deschutes County, OR\",25.0,2.8,\"58,836\",69.9,\"10,613\",9.2,\"64,861\",\"54,583\",\"10,278\",18.8\n74,\"Billings, MT.\",26.2,1.4,\"73,490\",75.6,\"15,121\",10.9,\"62,462\",\"60,057\",\"2,405\",4.0\n75,\"Carbon County, MT.\",23.3,1.6,\"4,792\",61.6,\"1,089\",11.4,\"5,571\",\"5,494\",77,1.4\n76,\"Yellowstone County, MT\",26.4,1.4,\"68,698\",76.6,\"14,032\",10.8,\"56,891\",\"54,563\",\"2,328\",4.3\n77,\"Binghamton, NY\",22.0,4.5,\"122,581\",74.0,\"28,854\",11.4,\"110,575\",\"110,227\",348,0.3\n78,\"Broome County, NY\",22.7,5.3,\"96,563\",73.8,\"24,559\",12.2,\"88,931\",\"88,817\",114,0.1\n79,\"Tioga County, NY .\",19.7,1.7,\"26,018\",75.0,\"4,295\",8.3,\"21,644\",\"21,410\",234,1.1\n` \\n\\nQuestion: `Among the Metropolitan areas that include \"TX\" in their names, which Metropolitan area has the lowest \"Percent foreign born\" under 2000`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10\n0,Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county,2000,__,__,__,Persons below poverty level in 1999,__,Housing units,__,__,__\n1,__,\"Educational attainment, percent with bachelor's degree or higher1\",Percent foreign born,Workers 16 years and over Percent of workers,__,Total persons,Percent of persons below poverty level in 1999,2004 (July 1),20002 (estimates base),Change 2000-20043,__\n2,__,__,__,Total workers,who drove alone to work,__,__,__,__,Number,Percent\n3,\"Atlanta-Sandy Springs-Marietta, GA-Con.\",,,,,,,,,,\n4,\"Fayette County, GA.\",36.2,5.0,\"47,090\",81.2,\"2,386\",2.6,\"36,583\",\"32,726\",\"3,857\",11.8\n5,\"Forsyth County, GA\",34.6,6.0,\"52,904\",79.0,\"5,382\",5.5,\"48,580\",\"36,505\",\"12,075\",33.1\n6,\"Fulton County, GA\",41.4,9.6,\"431,553\",63.8,\"124,241\",15.2,\"389,799\",\"348,634\",\"41,165\",11.8\n7,\"Gwinnett County, GA.\",34.1,16.9,\"325,379\",75.9,\"33,067\",5.6,\"255,265\",\"209,682\",\"45,583\",21.7\n8,\"Haralson County, GA.\",9.0,0.9,\"11,751\",71.2,\"3,914\",15.2,\"11,484\",\"10,719\",765,7.1\n9,\"Heard County, GA.\",7.3,0.7,\"4,902\",66.6,\"1,480\",13.4,\"4,789\",\"4,512\",277,6.1\n10,\"Henry County, GA.\",19.5,3.4,\"63,081\",79.4,\"5,821\",4.9,\"60,841\",\"43,166\",\"17,675\",40.9\n11,\"Jasper County, GA\",11.5,2.1,\"5,517\",69.2,\"1,604\",14.0,\"5,516\",\"4,806\",710,14.8\n12,\"Lamar County, GA\",11.3,1.0,\"7,667\",71.9,\"1,682\",10.6,\"6,752\",\"6,145\",607,9.9\n13,\"Meriwether County, GA\",10.8,0.7,\"9,845\",69.1,\"3,931\",17.4,\"10,016\",\"9,211\",805,8.7\n14,\"Newton County, GA.\",14.5,2.5,\"30,745\",75.6,\"6,079\",9.8,\"31,526\",\"23,033\",\"8,493\",36.9\n15,\"Paulding County, GA\",15.2,2.1,\"42,755\",79.8,\"4,454\",5.5,\"40,815\",\"29,241\",\"11,574\",39.6\n16,\"Pickens County, GA\",15.6,2.0,\"11,542\",75.8,\"2,080\",9.1,\"12,638\",\"10,687\",\"1,951\",18.3\n17,\"Pike County, GA.\",14.0,1.0,\"6,544\",75.0,\"1,275\",9.3,5.978,\"5,068\",910,18.0\n18,\"Rockdale County, GA\",23.4,7.6,\"35,166\",74.7,\"5,673\",8.1,\"28,634\",\"25,082\",3.552,14.2\n19,\"Spalding County, GA\",12.5,2.2,\"27,148\",69.9,\"8,856\",15.2,\"24,916\",\"23,001\",\"1,915\",8.3\n20,\"Walton County, GA\",13.0,2.0,\"30,409\",75.5,\"5,829\",9.6,\"27,801\",\"22,500\",\"5,301\",23.6\n21,\"Atlantic City, NJ.\",18.7,11.8,\"125,696\",65.5,\"25,906\",10.3,\"121,192\",\"114,090\",\"7,102\",6.2\n22,\"Atlantic County, NJ .\",18.7,11.8,\"125,696\",65.5,\"25,906\",10.3,\"121,192\",\"114,090\",\"7,102\",6.2\n23,\"Auburn-Opelika, AL\",27.9,2.7,\"56,547\",77.6,\"24,119\",21.0,\"55,546\",\"50,329\",\"5,217\",10.4\n24,\"Lee County, AL.\",27.9,2.7,\"56,547\",77.6,\"24,119\",21.0,\"55,546\",\"50,329\",\"5,217\",10.4\n25,\"Augusta-Richmond County, GA-SC .\",20.4,3.0,\"237,567\",73.5,\"74,945\",15.0,\"216,791\",\"204,600\",\"12,191\",6.0\n26,\"Burke County, GA.\",9.5,0.8,\"9,108\",70.3,\"6,348\",28.5,\"9,106\",\"8,842\",264,3.0\n27,\"Columbia County, GA\",32.0,4.8,\"45,831\",81.8,\"4,540\",5.1,\"38,363\",\"33,321\",\"5,042\",15.1\n28,\"McDuffie County, GA\",11.7,0.6,\"9,712\",72.1,\"3,882\",18.3,\"9,200\",\"8,916\",284,3.2\n29,\"Richmond County, GA\",18.7,3.4,\"94,690\",68.5,\"37,313\",18.7,\"85,111\",\"82,312\",\"2,799\",3.4\n30,\"Aiken County, SC .\",19.9,2.3,\"67,969\",75.4,\"19,455\",13.6,\"65,372\",\"61,987\",\"3,385\",5.5\n31,\"Edgefield County, SC\",12.5,1.3,\"10,257\",74.1,\"3,407\",13.9,\"9,639\",\"9,222\",417,4.5\n32,\"Austin-Round Rock, TX.\",36.7,12.2,\"689,602\",72.0,\"134,589\",10.8,\"573,921\",\"496,004\",\"77,917\",15.7\n33,\"Bastrop County, TX.\",17.0,8.1,\"27,642\",70.5,\"6,456\",11.2,\"23,929\",\"22,254\",1.675,7.5\n34,\"Caldwell County, TX\",13.3,5.1,\"14,206\",69.7,\"3,971\",12.3,\"12,838\",\"11,901\",937,7.9\n35,\"Hays County, TX\",31.3,5.6,\"53,942\",70.3,\"13,039\n:selected:\",13.4,\"42,338\",\"35,643\",\"6,695\",18.8\n36,\"Travis County, TX .\",40.6,15.1,\"460,525\",70.5,\"99,388\",12.2,\"381,542\",\"335,881\",\"45,661\",13.6\n37,\"Williamson County, TX.\",33.6,7.4,\"133,287\",78.7,\"11,735\",4.7,\"113,274\",\"90,325\",\"22,949\",25.4\n38,\"Bakersfield, CA\",13.5,16.9,\"267,603\",63.4,\"130,949\",19.8,\"247,426\",\"231,567\",\"15,859\",6.8\n39,\"Kern County, CA.\",13.5,16.9,\"267,603\",63.4,\"130,949\",19.8,\"247,426\n:selected:\",\"231,567\",\"15,859\",6.8\n40,\"Baltimore-Towson, MD\",29.2,5.7,\"1,313,310\",70.4,\"243,792\",9.5,\"1,082,523\",\"1,048,046\",\"34,477\",3.3\n41,\"Anne Arundel County, MD\",30.6,4.7,\"269,772\",76.1,\"24,335\",5.0,\"197,331\",\"186,937\",\"10,394\",5.6\n42,\"Baltimore County, MD\",30.6,7.1,\"396,897\",75.0,\"47,603\",6.3,\"323,070\",\"313,734\",\"9,336\",3.0\n43,\"Carroll County, MD\",24.8,2.0,\"80,767\",79.8,\"5,617\",3.7,\"59,496\",\"54,260\",\"5,236\",9.6\n44,\"Harford County, MD\",27.3,3.4,\"116,981\",79.6,\"10,695\",4.9,\"90,415\",\"83,146\",\"7,269\",8.7\n45,\"Howard County, MD\",52.9,11.3,\"139,885\",79.0,\"9,491\",3.8,\"99,415\",\"92,818\",\"6,597\",7.1\n46,\"Queen Anne's County, MD\",25.4,2.4,\"21,849\",75.6,\"2,537\",6.3,\"18,454\",\"16,674\",\"1,780\",10.7\n47,\"Baltimore city, MD.\",19.1,4.6,\"287,159\",47.5,\"143,514\",22.0,\"294,342\",\"300,477\",\"-6,135\",-2.0\n48,\"Bangor, ME\",20.3,2.5,\"74,297\",73.2,\"18,956\",13.1,\"68,727\",\"66,847\",\"1,880\",2.8\n49,\"Penobscot County, ME\",20.3,2.5,\"74,297\",73.2,\"18,956\",13.1,\"68,727\",\"66,847\",\"1,880\",2.8\n50,\"Barnstable Town, MA\",33.6,4.9,\"107,184\",75.3,\"15,021\",6.8,\"152,583\",\"147,083\",\"5,500\",3.7\n51,\"Barnstable County, MA\",33.6,4.9,\"107,184\",75.3,\"15,021\",6.8,\"152,583\",\"147,083\",\"5,500\",3.7\n52,\"Baton Rouge, LA.\",22.8,2.6,\"335,375\",75.3,\"116,199\",16.5,\"300,066\",\"282,511\",\"17,555\",6.2\n53,\"Ascension Parish, LA\",14.5,1.8,\"37,203\",79.1,\"9,808\",12.8,\"33,424\",\"29,172\",\"4,252\",14.6\n54,\"East Baton Rouge Parish, LA\",30.8,3.7,\"205,905\",74.6,\"71,276\",17.3,\"176,463\",\"169,073\",\"7,390\",4.4\n55,\"East Feliciana Parish, LA\",11.3,0.6,\"8,557\",70.4,\"4,352\",20.4,\"8,139\",\"7,915\",224,2.8\n56,\"Iberville Parish, LA\",9.6,0.7,\"12,364\",73.1,\"6,909\",20.7,\"12,328\",\"11,953\",375,3.1\n57,\"Livingston Parish, LA.\",11.4,0.8,\"42,978\",77.8,\"10,339\",11.3,\"40,312\",\"36,212\",\"4,100\",11.3\n58,\"Pointe Coupee Parish, LA\",12.8,0.9,\"9,626\",72.4,\"5,172\",22.7,\"10,724\",\"10,297\",427,4.1\n59,\"St. Helena Parish, LA\",11.2,0.3,\"4,135\",69.2,\"2,804\",26.6,\"5,145\",\"5,034\",111,2.2\n60,\"West Baton Rouge Parish, LA.\",11.1,0.9,\"9,976\",76.0,\"3,564\",16.5,\"8,776\",\"8,370\",406,4.9\n61,\"West Feliciana Parish, LA\",10.6,0.5,\"4,631\",77.2,\"1,975\",13.1,\"4,755\",\"4,485\",270,6.0\n62,\"Battle Creek, MI\",16.0,2.4,\"66,943\",75.7,\"15,094\",10.9,\"60,208\",\"58,691\",\"1,517\",2.6\n63,\"Calhoun County, MI.\",16.0,2.4,\"66,943\",75.7,\"15,094\",10.9,\"60,208\",\"58,691\",\"1,517\",2.6\n64,\"Bay City, MI\",14.2,1.4,\"54,312\",80.5,\"10,605\",9.6,\"47,617\",\"46,423\",\"1,194\",2.6\n65,\"Bay County, MI.\",14.2,1.4,\"54,312\",80.5,\"10,605\",9.6,\"47,617\",\"46,423\",\"1,194\",2.6\n66,\"Beaumont-Port Arthur, TX\",14.7,4.7,\"169,288\",74.9,\"57,974\",15.1,\"161,294\",\"156,697\",\"4,597\",2.9\n67,\"Hardin County, TX\",13.0,1.3,\"21,877\",78.5,\"5,314\",11.1,\"20,646\",\"19,836\",810,4.1\n68,\"Jefferson County, TX\",16.3,6.2,\"108,633\",73.8,\"41,142\",16.3,\"104,826\",\"102,080\",\"2,746\",2.7\n69,\"Orange County, TX .\",11.0,2.1,\"38,778\",75.7,\"11,518\",13.6,\"35,822\",\"34,781\",\"1,041\",3.0\n70,\"Bellingham, WA.\",27.2,9.8,\"87,365\",68.8,\"23,003\",13.8,\"80,637\",\"73,897\",\"6,740\",9.1\n71,\"Whatcom County, WA\",27.2,9.8,\"87,365\",68.8,\"23,003\",13.8,\"80,637\",\"73,897\",\"6,740\",9.1\n72,\"Bend, OR.\",25.0,2.8,\"58,836\",69.9,\"10,613\",9.2,\"64,861\",\"54,583\",\"10,278\",18.8\n73,\"Deschutes County, OR\",25.0,2.8,\"58,836\",69.9,\"10,613\",9.2,\"64,861\",\"54,583\",\"10,278\",18.8\n74,\"Billings, MT.\",26.2,1.4,\"73,490\",75.6,\"15,121\",10.9,\"62,462\",\"60,057\",\"2,405\",4.0\n75,\"Carbon County, MT.\",23.3,1.6,\"4,792\",61.6,\"1,089\",11.4,\"5,571\",\"5,494\",77,1.4\n76,\"Yellowstone County, MT\",26.4,1.4,\"68,698\",76.6,\"14,032\",10.8,\"56,891\",\"54,563\",\"2,328\",4.3\n77,\"Binghamton, NY\",22.0,4.5,\"122,581\",74.0,\"28,854\",11.4,\"110,575\",\"110,227\",348,0.3\n78,\"Broome County, NY\",22.7,5.3,\"96,563\",73.8,\"24,559\",12.2,\"88,931\",\"88,817\",114,0.1\n79,\"Tioga County, NY .\",19.7,1.7,\"26,018\",75.0,\"4,295\",8.3,\"21,644\",\"21,410\",234,1.1\n` \\n\\nQuestion: `Among the Metropolitan areas that include \"TX\" in their names, which Metropolitan area has the lowest \"Percent foreign born\" under 2000`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
psa--4--165
|
./tables/csvs/psa--4--165.csv
|
./tables/images/psa--4--165.jpg
|
,0,1,2,3,4,5,6,7,8
0,Activity Code,Main Economic Activity,Distribution Of Net Value Added (Value QR. 000),__,(QR.) Value Added Per Worker,( QR.) Productivity Of Employee,(%) Percentage Of Intermediate Services To Output,(%) Percentage Of Intermediate Goods To Output,( QR.) Average Annual Wage (1)
1,__,__,Operating Surplus,Compensat ion Of Employees,__,__,__,__,__
2,c,Manufacturing,,,,,,,
3,10,Manufacture of food products,451193,346430,102194,262416,10.76,50.29,36874
4,11,Manufacture of beverages,193925,145331,138639,302701,13.13,41.07,49925
5,13,Manufacture of textiles,9059,19533,54650,124507,14.56,41.55,33445
6,14,Manufacture of wearing apparel,497903,237662,59980,118969,18.45,31.14,19083
7,15,Manufacture of leather and related products,7526,815,123024,257485,0.51,51.71,11808
8,16,"Manufacture of wood and of products of wood and cork, except furniture, manufacture of aeticles of straw and plaiting materials plaiting materials",105932,270692,65214,130869,8.87,41.30,41857
9,17,Manufacture of other articles of paper and paperboard,37444,33923,88704,213312,4.43,53.98,33128
10,18,Printing and reproduction of recorded media,310143,316465,171186,262238,9.27,25.45,77205
11,19,Manufacture of coke and refined petroleum products,9680012,429712,12929112,40564008,1.59,66.53,531821
12,20,Manufacture of chemicals and chemical products,17759956,2757331,2614004,3979990,2.37,31.95,309430
13,21,Manufacture of basic pharmaceutical products and pharmaceutical preparations,17257,5884,120208,240123,4.63,45.31,23075
14,22,Manufacture of rubber and plastics products,414213,293925,120863,314976,4.87,56.76,43167
15,23,Manufacture of other non-metallic mineral products,2190948,1085007,156132,420694,5.55,57.34,43305
16,24,Manufacture of basic metals,2560966,1102471,996599,2771796,4.33,59.72,235420
17,25,"Manufacture of fabricated metal products, except machinery and equipment",2210823,1058830,124392,277212,4.90,50.22,38721
18,27,Manufacture of electrical equipment,370055,120659,229633,1119008,1.45,78.03,54547
19,28,Manufacture of machinery and equipment n.e.c.,-6828,71638,38028,161350,1.46,74.97,41385
20,29,"Manufacture of motor vehicles, trailers and semi-trailers",31686,10690,101130,161799,3.23,34.27,25393
21,30,Manufacture of other transport equipment,29574,42657,270186,435467,14.31,23.64,131252
22,31,Manufacture of furniture,193687,180766,80100,205245,24.41,36.56,35354
23,32,Other manufacturing,-1127,8010,66896,186892,6.19,58.02,55238
24,33,Repair and installation of machinery and equipment,686501,96956,403980,493272,8.22,9.88,50003
25,,Total,37750848,8635387,421764,924164,3.73,50.63,70346
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": true, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": true}
|
psa--4--165--M1
|
For the activity of manufacture of food products what is the productivity of employee?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": true, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "1", "Row Filter Retained Rows Single": true, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "1", "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": "1", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": "", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
{262416}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8\n0,Activity Code,Main Economic Activity,Distribution Of Net Value Added (Value QR. 000),__,(QR.) Value Added Per Worker,( QR.) Productivity Of Employee,(%) Percentage Of Intermediate Services To Output,(%) Percentage Of Intermediate Goods To Output,( QR.) Average Annual Wage (1)\n1,__,__,Operating Surplus,Compensat ion Of Employees,__,__,__,__,__\n2,c,Manufacturing,,,,,,,\n3,10,Manufacture of food products,451193,346430,102194,262416,10.76,50.29,36874\n4,11,Manufacture of beverages,193925,145331,138639,302701,13.13,41.07,49925\n5,13,Manufacture of textiles,9059,19533,54650,124507,14.56,41.55,33445\n6,14,Manufacture of wearing apparel,497903,237662,59980,118969,18.45,31.14,19083\n7,15,Manufacture of leather and related products,7526,815,123024,257485,0.51,51.71,11808\n8,16,\"Manufacture of wood and of products of wood and cork, except furniture, manufacture of aeticles of straw and plaiting materials plaiting materials\",105932,270692,65214,130869,8.87,41.30,41857\n9,17,Manufacture of other articles of paper and paperboard,37444,33923,88704,213312,4.43,53.98,33128\n10,18,Printing and reproduction of recorded media,310143,316465,171186,262238,9.27,25.45,77205\n11,19,Manufacture of coke and refined petroleum products,9680012,429712,12929112,40564008,1.59,66.53,531821\n12,20,Manufacture of chemicals and chemical products,17759956,2757331,2614004,3979990,2.37,31.95,309430\n13,21,Manufacture of basic pharmaceutical products and pharmaceutical preparations,17257,5884,120208,240123,4.63,45.31,23075\n14,22,Manufacture of rubber and plastics products,414213,293925,120863,314976,4.87,56.76,43167\n15,23,Manufacture of other non-metallic mineral products,2190948,1085007,156132,420694,5.55,57.34,43305\n16,24,Manufacture of basic metals,2560966,1102471,996599,2771796,4.33,59.72,235420\n17,25,\"Manufacture of fabricated metal products, except machinery and equipment\",2210823,1058830,124392,277212,4.90,50.22,38721\n18,27,Manufacture of electrical equipment,370055,120659,229633,1119008,1.45,78.03,54547\n19,28,Manufacture of machinery and equipment n.e.c.,-6828,71638,38028,161350,1.46,74.97,41385\n20,29,\"Manufacture of motor vehicles, trailers and semi-trailers\",31686,10690,101130,161799,3.23,34.27,25393\n21,30,Manufacture of other transport equipment,29574,42657,270186,435467,14.31,23.64,131252\n22,31,Manufacture of furniture,193687,180766,80100,205245,24.41,36.56,35354\n23,32,Other manufacturing,-1127,8010,66896,186892,6.19,58.02,55238\n24,33,Repair and installation of machinery and equipment,686501,96956,403980,493272,8.22,9.88,50003\n25,,Total,37750848,8635387,421764,924164,3.73,50.63,70346\n` \\n\\nQuestion: `For the activity of manufacture of food products what is the productivity of employee?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8\n0,Activity Code,Main Economic Activity,Distribution Of Net Value Added (Value QR. 000),__,(QR.) Value Added Per Worker,( QR.) Productivity Of Employee,(%) Percentage Of Intermediate Services To Output,(%) Percentage Of Intermediate Goods To Output,( QR.) Average Annual Wage (1)\n1,__,__,Operating Surplus,Compensat ion Of Employees,__,__,__,__,__\n2,c,Manufacturing,,,,,,,\n3,10,Manufacture of food products,451193,346430,102194,262416,10.76,50.29,36874\n4,11,Manufacture of beverages,193925,145331,138639,302701,13.13,41.07,49925\n5,13,Manufacture of textiles,9059,19533,54650,124507,14.56,41.55,33445\n6,14,Manufacture of wearing apparel,497903,237662,59980,118969,18.45,31.14,19083\n7,15,Manufacture of leather and related products,7526,815,123024,257485,0.51,51.71,11808\n8,16,\"Manufacture of wood and of products of wood and cork, except furniture, manufacture of aeticles of straw and plaiting materials plaiting materials\",105932,270692,65214,130869,8.87,41.30,41857\n9,17,Manufacture of other articles of paper and paperboard,37444,33923,88704,213312,4.43,53.98,33128\n10,18,Printing and reproduction of recorded media,310143,316465,171186,262238,9.27,25.45,77205\n11,19,Manufacture of coke and refined petroleum products,9680012,429712,12929112,40564008,1.59,66.53,531821\n12,20,Manufacture of chemicals and chemical products,17759956,2757331,2614004,3979990,2.37,31.95,309430\n13,21,Manufacture of basic pharmaceutical products and pharmaceutical preparations,17257,5884,120208,240123,4.63,45.31,23075\n14,22,Manufacture of rubber and plastics products,414213,293925,120863,314976,4.87,56.76,43167\n15,23,Manufacture of other non-metallic mineral products,2190948,1085007,156132,420694,5.55,57.34,43305\n16,24,Manufacture of basic metals,2560966,1102471,996599,2771796,4.33,59.72,235420\n17,25,\"Manufacture of fabricated metal products, except machinery and equipment\",2210823,1058830,124392,277212,4.90,50.22,38721\n18,27,Manufacture of electrical equipment,370055,120659,229633,1119008,1.45,78.03,54547\n19,28,Manufacture of machinery and equipment n.e.c.,-6828,71638,38028,161350,1.46,74.97,41385\n20,29,\"Manufacture of motor vehicles, trailers and semi-trailers\",31686,10690,101130,161799,3.23,34.27,25393\n21,30,Manufacture of other transport equipment,29574,42657,270186,435467,14.31,23.64,131252\n22,31,Manufacture of furniture,193687,180766,80100,205245,24.41,36.56,35354\n23,32,Other manufacturing,-1127,8010,66896,186892,6.19,58.02,55238\n24,33,Repair and installation of machinery and equipment,686501,96956,403980,493272,8.22,9.88,50003\n25,,Total,37750848,8635387,421764,924164,3.73,50.63,70346\n` \\n\\nQuestion: `For the activity of manufacture of food products what is the productivity of employee?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
psa--4--165
|
./tables/csvs/psa--4--165.csv
|
./tables/images/psa--4--165.jpg
|
,0,1,2,3,4,5,6,7,8
0,Activity Code,Main Economic Activity,Distribution Of Net Value Added (Value QR. 000),__,(QR.) Value Added Per Worker,( QR.) Productivity Of Employee,(%) Percentage Of Intermediate Services To Output,(%) Percentage Of Intermediate Goods To Output,( QR.) Average Annual Wage (1)
1,__,__,Operating Surplus,Compensat ion Of Employees,__,__,__,__,__
2,c,Manufacturing,,,,,,,
3,10,Manufacture of food products,451193,346430,102194,262416,10.76,50.29,36874
4,11,Manufacture of beverages,193925,145331,138639,302701,13.13,41.07,49925
5,13,Manufacture of textiles,9059,19533,54650,124507,14.56,41.55,33445
6,14,Manufacture of wearing apparel,497903,237662,59980,118969,18.45,31.14,19083
7,15,Manufacture of leather and related products,7526,815,123024,257485,0.51,51.71,11808
8,16,"Manufacture of wood and of products of wood and cork, except furniture, manufacture of aeticles of straw and plaiting materials plaiting materials",105932,270692,65214,130869,8.87,41.30,41857
9,17,Manufacture of other articles of paper and paperboard,37444,33923,88704,213312,4.43,53.98,33128
10,18,Printing and reproduction of recorded media,310143,316465,171186,262238,9.27,25.45,77205
11,19,Manufacture of coke and refined petroleum products,9680012,429712,12929112,40564008,1.59,66.53,531821
12,20,Manufacture of chemicals and chemical products,17759956,2757331,2614004,3979990,2.37,31.95,309430
13,21,Manufacture of basic pharmaceutical products and pharmaceutical preparations,17257,5884,120208,240123,4.63,45.31,23075
14,22,Manufacture of rubber and plastics products,414213,293925,120863,314976,4.87,56.76,43167
15,23,Manufacture of other non-metallic mineral products,2190948,1085007,156132,420694,5.55,57.34,43305
16,24,Manufacture of basic metals,2560966,1102471,996599,2771796,4.33,59.72,235420
17,25,"Manufacture of fabricated metal products, except machinery and equipment",2210823,1058830,124392,277212,4.90,50.22,38721
18,27,Manufacture of electrical equipment,370055,120659,229633,1119008,1.45,78.03,54547
19,28,Manufacture of machinery and equipment n.e.c.,-6828,71638,38028,161350,1.46,74.97,41385
20,29,"Manufacture of motor vehicles, trailers and semi-trailers",31686,10690,101130,161799,3.23,34.27,25393
21,30,Manufacture of other transport equipment,29574,42657,270186,435467,14.31,23.64,131252
22,31,Manufacture of furniture,193687,180766,80100,205245,24.41,36.56,35354
23,32,Other manufacturing,-1127,8010,66896,186892,6.19,58.02,55238
24,33,Repair and installation of machinery and equipment,686501,96956,403980,493272,8.22,9.88,50003
25,,Total,37750848,8635387,421764,924164,3.73,50.63,70346
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": true, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": true}
|
psa--4--165--A1
|
What is the total number of employees in the Manufacturing industry according to the table?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": 0, "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": 1, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{8635387}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8\n0,Activity Code,Main Economic Activity,Distribution Of Net Value Added (Value QR. 000),__,(QR.) Value Added Per Worker,( QR.) Productivity Of Employee,(%) Percentage Of Intermediate Services To Output,(%) Percentage Of Intermediate Goods To Output,( QR.) Average Annual Wage (1)\n1,__,__,Operating Surplus,Compensat ion Of Employees,__,__,__,__,__\n2,c,Manufacturing,,,,,,,\n3,10,Manufacture of food products,451193,346430,102194,262416,10.76,50.29,36874\n4,11,Manufacture of beverages,193925,145331,138639,302701,13.13,41.07,49925\n5,13,Manufacture of textiles,9059,19533,54650,124507,14.56,41.55,33445\n6,14,Manufacture of wearing apparel,497903,237662,59980,118969,18.45,31.14,19083\n7,15,Manufacture of leather and related products,7526,815,123024,257485,0.51,51.71,11808\n8,16,\"Manufacture of wood and of products of wood and cork, except furniture, manufacture of aeticles of straw and plaiting materials plaiting materials\",105932,270692,65214,130869,8.87,41.30,41857\n9,17,Manufacture of other articles of paper and paperboard,37444,33923,88704,213312,4.43,53.98,33128\n10,18,Printing and reproduction of recorded media,310143,316465,171186,262238,9.27,25.45,77205\n11,19,Manufacture of coke and refined petroleum products,9680012,429712,12929112,40564008,1.59,66.53,531821\n12,20,Manufacture of chemicals and chemical products,17759956,2757331,2614004,3979990,2.37,31.95,309430\n13,21,Manufacture of basic pharmaceutical products and pharmaceutical preparations,17257,5884,120208,240123,4.63,45.31,23075\n14,22,Manufacture of rubber and plastics products,414213,293925,120863,314976,4.87,56.76,43167\n15,23,Manufacture of other non-metallic mineral products,2190948,1085007,156132,420694,5.55,57.34,43305\n16,24,Manufacture of basic metals,2560966,1102471,996599,2771796,4.33,59.72,235420\n17,25,\"Manufacture of fabricated metal products, except machinery and equipment\",2210823,1058830,124392,277212,4.90,50.22,38721\n18,27,Manufacture of electrical equipment,370055,120659,229633,1119008,1.45,78.03,54547\n19,28,Manufacture of machinery and equipment n.e.c.,-6828,71638,38028,161350,1.46,74.97,41385\n20,29,\"Manufacture of motor vehicles, trailers and semi-trailers\",31686,10690,101130,161799,3.23,34.27,25393\n21,30,Manufacture of other transport equipment,29574,42657,270186,435467,14.31,23.64,131252\n22,31,Manufacture of furniture,193687,180766,80100,205245,24.41,36.56,35354\n23,32,Other manufacturing,-1127,8010,66896,186892,6.19,58.02,55238\n24,33,Repair and installation of machinery and equipment,686501,96956,403980,493272,8.22,9.88,50003\n25,,Total,37750848,8635387,421764,924164,3.73,50.63,70346\n` \\n\\nQuestion: `What is the total number of employees in the Manufacturing industry according to the table?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8\n0,Activity Code,Main Economic Activity,Distribution Of Net Value Added (Value QR. 000),__,(QR.) Value Added Per Worker,( QR.) Productivity Of Employee,(%) Percentage Of Intermediate Services To Output,(%) Percentage Of Intermediate Goods To Output,( QR.) Average Annual Wage (1)\n1,__,__,Operating Surplus,Compensat ion Of Employees,__,__,__,__,__\n2,c,Manufacturing,,,,,,,\n3,10,Manufacture of food products,451193,346430,102194,262416,10.76,50.29,36874\n4,11,Manufacture of beverages,193925,145331,138639,302701,13.13,41.07,49925\n5,13,Manufacture of textiles,9059,19533,54650,124507,14.56,41.55,33445\n6,14,Manufacture of wearing apparel,497903,237662,59980,118969,18.45,31.14,19083\n7,15,Manufacture of leather and related products,7526,815,123024,257485,0.51,51.71,11808\n8,16,\"Manufacture of wood and of products of wood and cork, except furniture, manufacture of aeticles of straw and plaiting materials plaiting materials\",105932,270692,65214,130869,8.87,41.30,41857\n9,17,Manufacture of other articles of paper and paperboard,37444,33923,88704,213312,4.43,53.98,33128\n10,18,Printing and reproduction of recorded media,310143,316465,171186,262238,9.27,25.45,77205\n11,19,Manufacture of coke and refined petroleum products,9680012,429712,12929112,40564008,1.59,66.53,531821\n12,20,Manufacture of chemicals and chemical products,17759956,2757331,2614004,3979990,2.37,31.95,309430\n13,21,Manufacture of basic pharmaceutical products and pharmaceutical preparations,17257,5884,120208,240123,4.63,45.31,23075\n14,22,Manufacture of rubber and plastics products,414213,293925,120863,314976,4.87,56.76,43167\n15,23,Manufacture of other non-metallic mineral products,2190948,1085007,156132,420694,5.55,57.34,43305\n16,24,Manufacture of basic metals,2560966,1102471,996599,2771796,4.33,59.72,235420\n17,25,\"Manufacture of fabricated metal products, except machinery and equipment\",2210823,1058830,124392,277212,4.90,50.22,38721\n18,27,Manufacture of electrical equipment,370055,120659,229633,1119008,1.45,78.03,54547\n19,28,Manufacture of machinery and equipment n.e.c.,-6828,71638,38028,161350,1.46,74.97,41385\n20,29,\"Manufacture of motor vehicles, trailers and semi-trailers\",31686,10690,101130,161799,3.23,34.27,25393\n21,30,Manufacture of other transport equipment,29574,42657,270186,435467,14.31,23.64,131252\n22,31,Manufacture of furniture,193687,180766,80100,205245,24.41,36.56,35354\n23,32,Other manufacturing,-1127,8010,66896,186892,6.19,58.02,55238\n24,33,Repair and installation of machinery and equipment,686501,96956,403980,493272,8.22,9.88,50003\n25,,Total,37750848,8635387,421764,924164,3.73,50.63,70346\n` \\n\\nQuestion: `What is the total number of employees in the Manufacturing industry according to the table?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
psa--4--165
|
./tables/csvs/psa--4--165.csv
|
./tables/images/psa--4--165.jpg
|
,0,1,2,3,4,5,6,7,8
0,Activity Code,Main Economic Activity,Distribution Of Net Value Added (Value QR. 000),__,(QR.) Value Added Per Worker,( QR.) Productivity Of Employee,(%) Percentage Of Intermediate Services To Output,(%) Percentage Of Intermediate Goods To Output,( QR.) Average Annual Wage (1)
1,__,__,Operating Surplus,Compensat ion Of Employees,__,__,__,__,__
2,c,Manufacturing,,,,,,,
3,10,Manufacture of food products,451193,346430,102194,262416,10.76,50.29,36874
4,11,Manufacture of beverages,193925,145331,138639,302701,13.13,41.07,49925
5,13,Manufacture of textiles,9059,19533,54650,124507,14.56,41.55,33445
6,14,Manufacture of wearing apparel,497903,237662,59980,118969,18.45,31.14,19083
7,15,Manufacture of leather and related products,7526,815,123024,257485,0.51,51.71,11808
8,16,"Manufacture of wood and of products of wood and cork, except furniture, manufacture of aeticles of straw and plaiting materials plaiting materials",105932,270692,65214,130869,8.87,41.30,41857
9,17,Manufacture of other articles of paper and paperboard,37444,33923,88704,213312,4.43,53.98,33128
10,18,Printing and reproduction of recorded media,310143,316465,171186,262238,9.27,25.45,77205
11,19,Manufacture of coke and refined petroleum products,9680012,429712,12929112,40564008,1.59,66.53,531821
12,20,Manufacture of chemicals and chemical products,17759956,2757331,2614004,3979990,2.37,31.95,309430
13,21,Manufacture of basic pharmaceutical products and pharmaceutical preparations,17257,5884,120208,240123,4.63,45.31,23075
14,22,Manufacture of rubber and plastics products,414213,293925,120863,314976,4.87,56.76,43167
15,23,Manufacture of other non-metallic mineral products,2190948,1085007,156132,420694,5.55,57.34,43305
16,24,Manufacture of basic metals,2560966,1102471,996599,2771796,4.33,59.72,235420
17,25,"Manufacture of fabricated metal products, except machinery and equipment",2210823,1058830,124392,277212,4.90,50.22,38721
18,27,Manufacture of electrical equipment,370055,120659,229633,1119008,1.45,78.03,54547
19,28,Manufacture of machinery and equipment n.e.c.,-6828,71638,38028,161350,1.46,74.97,41385
20,29,"Manufacture of motor vehicles, trailers and semi-trailers",31686,10690,101130,161799,3.23,34.27,25393
21,30,Manufacture of other transport equipment,29574,42657,270186,435467,14.31,23.64,131252
22,31,Manufacture of furniture,193687,180766,80100,205245,24.41,36.56,35354
23,32,Other manufacturing,-1127,8010,66896,186892,6.19,58.02,55238
24,33,Repair and installation of machinery and equipment,686501,96956,403980,493272,8.22,9.88,50003
25,,Total,37750848,8635387,421764,924164,3.73,50.63,70346
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": true, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": true}
|
psa--4--165--A3
|
What is the maximum value of 'Operating Surplus' for the manufacturing activities 'Manufacture of food products' and 'Manufacture of textiles'?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": true, "Row Filter Num Of Conditions": 1, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": 1, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": true, "Aggregation Aggregation On Plain": true, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": true, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": true, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": true, "Aggregation Num Of Aggregations": 1, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{451193}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8\n0,Activity Code,Main Economic Activity,Distribution Of Net Value Added (Value QR. 000),__,(QR.) Value Added Per Worker,( QR.) Productivity Of Employee,(%) Percentage Of Intermediate Services To Output,(%) Percentage Of Intermediate Goods To Output,( QR.) Average Annual Wage (1)\n1,__,__,Operating Surplus,Compensat ion Of Employees,__,__,__,__,__\n2,c,Manufacturing,,,,,,,\n3,10,Manufacture of food products,451193,346430,102194,262416,10.76,50.29,36874\n4,11,Manufacture of beverages,193925,145331,138639,302701,13.13,41.07,49925\n5,13,Manufacture of textiles,9059,19533,54650,124507,14.56,41.55,33445\n6,14,Manufacture of wearing apparel,497903,237662,59980,118969,18.45,31.14,19083\n7,15,Manufacture of leather and related products,7526,815,123024,257485,0.51,51.71,11808\n8,16,\"Manufacture of wood and of products of wood and cork, except furniture, manufacture of aeticles of straw and plaiting materials plaiting materials\",105932,270692,65214,130869,8.87,41.30,41857\n9,17,Manufacture of other articles of paper and paperboard,37444,33923,88704,213312,4.43,53.98,33128\n10,18,Printing and reproduction of recorded media,310143,316465,171186,262238,9.27,25.45,77205\n11,19,Manufacture of coke and refined petroleum products,9680012,429712,12929112,40564008,1.59,66.53,531821\n12,20,Manufacture of chemicals and chemical products,17759956,2757331,2614004,3979990,2.37,31.95,309430\n13,21,Manufacture of basic pharmaceutical products and pharmaceutical preparations,17257,5884,120208,240123,4.63,45.31,23075\n14,22,Manufacture of rubber and plastics products,414213,293925,120863,314976,4.87,56.76,43167\n15,23,Manufacture of other non-metallic mineral products,2190948,1085007,156132,420694,5.55,57.34,43305\n16,24,Manufacture of basic metals,2560966,1102471,996599,2771796,4.33,59.72,235420\n17,25,\"Manufacture of fabricated metal products, except machinery and equipment\",2210823,1058830,124392,277212,4.90,50.22,38721\n18,27,Manufacture of electrical equipment,370055,120659,229633,1119008,1.45,78.03,54547\n19,28,Manufacture of machinery and equipment n.e.c.,-6828,71638,38028,161350,1.46,74.97,41385\n20,29,\"Manufacture of motor vehicles, trailers and semi-trailers\",31686,10690,101130,161799,3.23,34.27,25393\n21,30,Manufacture of other transport equipment,29574,42657,270186,435467,14.31,23.64,131252\n22,31,Manufacture of furniture,193687,180766,80100,205245,24.41,36.56,35354\n23,32,Other manufacturing,-1127,8010,66896,186892,6.19,58.02,55238\n24,33,Repair and installation of machinery and equipment,686501,96956,403980,493272,8.22,9.88,50003\n25,,Total,37750848,8635387,421764,924164,3.73,50.63,70346\n` \\n\\nQuestion: `What is the maximum value of 'Operating Surplus' for the manufacturing activities 'Manufacture of food products' and 'Manufacture of textiles'?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8\n0,Activity Code,Main Economic Activity,Distribution Of Net Value Added (Value QR. 000),__,(QR.) Value Added Per Worker,( QR.) Productivity Of Employee,(%) Percentage Of Intermediate Services To Output,(%) Percentage Of Intermediate Goods To Output,( QR.) Average Annual Wage (1)\n1,__,__,Operating Surplus,Compensat ion Of Employees,__,__,__,__,__\n2,c,Manufacturing,,,,,,,\n3,10,Manufacture of food products,451193,346430,102194,262416,10.76,50.29,36874\n4,11,Manufacture of beverages,193925,145331,138639,302701,13.13,41.07,49925\n5,13,Manufacture of textiles,9059,19533,54650,124507,14.56,41.55,33445\n6,14,Manufacture of wearing apparel,497903,237662,59980,118969,18.45,31.14,19083\n7,15,Manufacture of leather and related products,7526,815,123024,257485,0.51,51.71,11808\n8,16,\"Manufacture of wood and of products of wood and cork, except furniture, manufacture of aeticles of straw and plaiting materials plaiting materials\",105932,270692,65214,130869,8.87,41.30,41857\n9,17,Manufacture of other articles of paper and paperboard,37444,33923,88704,213312,4.43,53.98,33128\n10,18,Printing and reproduction of recorded media,310143,316465,171186,262238,9.27,25.45,77205\n11,19,Manufacture of coke and refined petroleum products,9680012,429712,12929112,40564008,1.59,66.53,531821\n12,20,Manufacture of chemicals and chemical products,17759956,2757331,2614004,3979990,2.37,31.95,309430\n13,21,Manufacture of basic pharmaceutical products and pharmaceutical preparations,17257,5884,120208,240123,4.63,45.31,23075\n14,22,Manufacture of rubber and plastics products,414213,293925,120863,314976,4.87,56.76,43167\n15,23,Manufacture of other non-metallic mineral products,2190948,1085007,156132,420694,5.55,57.34,43305\n16,24,Manufacture of basic metals,2560966,1102471,996599,2771796,4.33,59.72,235420\n17,25,\"Manufacture of fabricated metal products, except machinery and equipment\",2210823,1058830,124392,277212,4.90,50.22,38721\n18,27,Manufacture of electrical equipment,370055,120659,229633,1119008,1.45,78.03,54547\n19,28,Manufacture of machinery and equipment n.e.c.,-6828,71638,38028,161350,1.46,74.97,41385\n20,29,\"Manufacture of motor vehicles, trailers and semi-trailers\",31686,10690,101130,161799,3.23,34.27,25393\n21,30,Manufacture of other transport equipment,29574,42657,270186,435467,14.31,23.64,131252\n22,31,Manufacture of furniture,193687,180766,80100,205245,24.41,36.56,35354\n23,32,Other manufacturing,-1127,8010,66896,186892,6.19,58.02,55238\n24,33,Repair and installation of machinery and equipment,686501,96956,403980,493272,8.22,9.88,50003\n25,,Total,37750848,8635387,421764,924164,3.73,50.63,70346\n` \\n\\nQuestion: `What is the maximum value of 'Operating Surplus' for the manufacturing activities 'Manufacture of food products' and 'Manufacture of textiles'?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
psa--4--165
|
./tables/csvs/psa--4--165.csv
|
./tables/images/psa--4--165.jpg
|
,0,1,2,3,4,5,6,7,8
0,Activity Code,Main Economic Activity,Distribution Of Net Value Added (Value QR. 000),__,(QR.) Value Added Per Worker,( QR.) Productivity Of Employee,(%) Percentage Of Intermediate Services To Output,(%) Percentage Of Intermediate Goods To Output,( QR.) Average Annual Wage (1)
1,__,__,Operating Surplus,Compensat ion Of Employees,__,__,__,__,__
2,c,Manufacturing,,,,,,,
3,10,Manufacture of food products,451193,346430,102194,262416,10.76,50.29,36874
4,11,Manufacture of beverages,193925,145331,138639,302701,13.13,41.07,49925
5,13,Manufacture of textiles,9059,19533,54650,124507,14.56,41.55,33445
6,14,Manufacture of wearing apparel,497903,237662,59980,118969,18.45,31.14,19083
7,15,Manufacture of leather and related products,7526,815,123024,257485,0.51,51.71,11808
8,16,"Manufacture of wood and of products of wood and cork, except furniture, manufacture of aeticles of straw and plaiting materials plaiting materials",105932,270692,65214,130869,8.87,41.30,41857
9,17,Manufacture of other articles of paper and paperboard,37444,33923,88704,213312,4.43,53.98,33128
10,18,Printing and reproduction of recorded media,310143,316465,171186,262238,9.27,25.45,77205
11,19,Manufacture of coke and refined petroleum products,9680012,429712,12929112,40564008,1.59,66.53,531821
12,20,Manufacture of chemicals and chemical products,17759956,2757331,2614004,3979990,2.37,31.95,309430
13,21,Manufacture of basic pharmaceutical products and pharmaceutical preparations,17257,5884,120208,240123,4.63,45.31,23075
14,22,Manufacture of rubber and plastics products,414213,293925,120863,314976,4.87,56.76,43167
15,23,Manufacture of other non-metallic mineral products,2190948,1085007,156132,420694,5.55,57.34,43305
16,24,Manufacture of basic metals,2560966,1102471,996599,2771796,4.33,59.72,235420
17,25,"Manufacture of fabricated metal products, except machinery and equipment",2210823,1058830,124392,277212,4.90,50.22,38721
18,27,Manufacture of electrical equipment,370055,120659,229633,1119008,1.45,78.03,54547
19,28,Manufacture of machinery and equipment n.e.c.,-6828,71638,38028,161350,1.46,74.97,41385
20,29,"Manufacture of motor vehicles, trailers and semi-trailers",31686,10690,101130,161799,3.23,34.27,25393
21,30,Manufacture of other transport equipment,29574,42657,270186,435467,14.31,23.64,131252
22,31,Manufacture of furniture,193687,180766,80100,205245,24.41,36.56,35354
23,32,Other manufacturing,-1127,8010,66896,186892,6.19,58.02,55238
24,33,Repair and installation of machinery and equipment,686501,96956,403980,493272,8.22,9.88,50003
25,,Total,37750848,8635387,421764,924164,3.73,50.63,70346
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": true, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": true}
|
psa--4--165--M0
|
What is the total average annual wage
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "", "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "", "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": "1", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": true, "Aggregation Aggregation On Plain": true, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": true, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": true, "Aggregation Aggregation In Table Present": true, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": "1", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
{70346}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8\n0,Activity Code,Main Economic Activity,Distribution Of Net Value Added (Value QR. 000),__,(QR.) Value Added Per Worker,( QR.) Productivity Of Employee,(%) Percentage Of Intermediate Services To Output,(%) Percentage Of Intermediate Goods To Output,( QR.) Average Annual Wage (1)\n1,__,__,Operating Surplus,Compensat ion Of Employees,__,__,__,__,__\n2,c,Manufacturing,,,,,,,\n3,10,Manufacture of food products,451193,346430,102194,262416,10.76,50.29,36874\n4,11,Manufacture of beverages,193925,145331,138639,302701,13.13,41.07,49925\n5,13,Manufacture of textiles,9059,19533,54650,124507,14.56,41.55,33445\n6,14,Manufacture of wearing apparel,497903,237662,59980,118969,18.45,31.14,19083\n7,15,Manufacture of leather and related products,7526,815,123024,257485,0.51,51.71,11808\n8,16,\"Manufacture of wood and of products of wood and cork, except furniture, manufacture of aeticles of straw and plaiting materials plaiting materials\",105932,270692,65214,130869,8.87,41.30,41857\n9,17,Manufacture of other articles of paper and paperboard,37444,33923,88704,213312,4.43,53.98,33128\n10,18,Printing and reproduction of recorded media,310143,316465,171186,262238,9.27,25.45,77205\n11,19,Manufacture of coke and refined petroleum products,9680012,429712,12929112,40564008,1.59,66.53,531821\n12,20,Manufacture of chemicals and chemical products,17759956,2757331,2614004,3979990,2.37,31.95,309430\n13,21,Manufacture of basic pharmaceutical products and pharmaceutical preparations,17257,5884,120208,240123,4.63,45.31,23075\n14,22,Manufacture of rubber and plastics products,414213,293925,120863,314976,4.87,56.76,43167\n15,23,Manufacture of other non-metallic mineral products,2190948,1085007,156132,420694,5.55,57.34,43305\n16,24,Manufacture of basic metals,2560966,1102471,996599,2771796,4.33,59.72,235420\n17,25,\"Manufacture of fabricated metal products, except machinery and equipment\",2210823,1058830,124392,277212,4.90,50.22,38721\n18,27,Manufacture of electrical equipment,370055,120659,229633,1119008,1.45,78.03,54547\n19,28,Manufacture of machinery and equipment n.e.c.,-6828,71638,38028,161350,1.46,74.97,41385\n20,29,\"Manufacture of motor vehicles, trailers and semi-trailers\",31686,10690,101130,161799,3.23,34.27,25393\n21,30,Manufacture of other transport equipment,29574,42657,270186,435467,14.31,23.64,131252\n22,31,Manufacture of furniture,193687,180766,80100,205245,24.41,36.56,35354\n23,32,Other manufacturing,-1127,8010,66896,186892,6.19,58.02,55238\n24,33,Repair and installation of machinery and equipment,686501,96956,403980,493272,8.22,9.88,50003\n25,,Total,37750848,8635387,421764,924164,3.73,50.63,70346\n` \\n\\nQuestion: `What is the total average annual wage`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8\n0,Activity Code,Main Economic Activity,Distribution Of Net Value Added (Value QR. 000),__,(QR.) Value Added Per Worker,( QR.) Productivity Of Employee,(%) Percentage Of Intermediate Services To Output,(%) Percentage Of Intermediate Goods To Output,( QR.) Average Annual Wage (1)\n1,__,__,Operating Surplus,Compensat ion Of Employees,__,__,__,__,__\n2,c,Manufacturing,,,,,,,\n3,10,Manufacture of food products,451193,346430,102194,262416,10.76,50.29,36874\n4,11,Manufacture of beverages,193925,145331,138639,302701,13.13,41.07,49925\n5,13,Manufacture of textiles,9059,19533,54650,124507,14.56,41.55,33445\n6,14,Manufacture of wearing apparel,497903,237662,59980,118969,18.45,31.14,19083\n7,15,Manufacture of leather and related products,7526,815,123024,257485,0.51,51.71,11808\n8,16,\"Manufacture of wood and of products of wood and cork, except furniture, manufacture of aeticles of straw and plaiting materials plaiting materials\",105932,270692,65214,130869,8.87,41.30,41857\n9,17,Manufacture of other articles of paper and paperboard,37444,33923,88704,213312,4.43,53.98,33128\n10,18,Printing and reproduction of recorded media,310143,316465,171186,262238,9.27,25.45,77205\n11,19,Manufacture of coke and refined petroleum products,9680012,429712,12929112,40564008,1.59,66.53,531821\n12,20,Manufacture of chemicals and chemical products,17759956,2757331,2614004,3979990,2.37,31.95,309430\n13,21,Manufacture of basic pharmaceutical products and pharmaceutical preparations,17257,5884,120208,240123,4.63,45.31,23075\n14,22,Manufacture of rubber and plastics products,414213,293925,120863,314976,4.87,56.76,43167\n15,23,Manufacture of other non-metallic mineral products,2190948,1085007,156132,420694,5.55,57.34,43305\n16,24,Manufacture of basic metals,2560966,1102471,996599,2771796,4.33,59.72,235420\n17,25,\"Manufacture of fabricated metal products, except machinery and equipment\",2210823,1058830,124392,277212,4.90,50.22,38721\n18,27,Manufacture of electrical equipment,370055,120659,229633,1119008,1.45,78.03,54547\n19,28,Manufacture of machinery and equipment n.e.c.,-6828,71638,38028,161350,1.46,74.97,41385\n20,29,\"Manufacture of motor vehicles, trailers and semi-trailers\",31686,10690,101130,161799,3.23,34.27,25393\n21,30,Manufacture of other transport equipment,29574,42657,270186,435467,14.31,23.64,131252\n22,31,Manufacture of furniture,193687,180766,80100,205245,24.41,36.56,35354\n23,32,Other manufacturing,-1127,8010,66896,186892,6.19,58.02,55238\n24,33,Repair and installation of machinery and equipment,686501,96956,403980,493272,8.22,9.88,50003\n25,,Total,37750848,8635387,421764,924164,3.73,50.63,70346\n` \\n\\nQuestion: `What is the total average annual wage`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
psa--4--165
|
./tables/csvs/psa--4--165.csv
|
./tables/images/psa--4--165.jpg
|
,0,1,2,3,4,5,6,7,8
0,Activity Code,Main Economic Activity,Distribution Of Net Value Added (Value QR. 000),__,(QR.) Value Added Per Worker,( QR.) Productivity Of Employee,(%) Percentage Of Intermediate Services To Output,(%) Percentage Of Intermediate Goods To Output,( QR.) Average Annual Wage (1)
1,__,__,Operating Surplus,Compensat ion Of Employees,__,__,__,__,__
2,c,Manufacturing,,,,,,,
3,10,Manufacture of food products,451193,346430,102194,262416,10.76,50.29,36874
4,11,Manufacture of beverages,193925,145331,138639,302701,13.13,41.07,49925
5,13,Manufacture of textiles,9059,19533,54650,124507,14.56,41.55,33445
6,14,Manufacture of wearing apparel,497903,237662,59980,118969,18.45,31.14,19083
7,15,Manufacture of leather and related products,7526,815,123024,257485,0.51,51.71,11808
8,16,"Manufacture of wood and of products of wood and cork, except furniture, manufacture of aeticles of straw and plaiting materials plaiting materials",105932,270692,65214,130869,8.87,41.30,41857
9,17,Manufacture of other articles of paper and paperboard,37444,33923,88704,213312,4.43,53.98,33128
10,18,Printing and reproduction of recorded media,310143,316465,171186,262238,9.27,25.45,77205
11,19,Manufacture of coke and refined petroleum products,9680012,429712,12929112,40564008,1.59,66.53,531821
12,20,Manufacture of chemicals and chemical products,17759956,2757331,2614004,3979990,2.37,31.95,309430
13,21,Manufacture of basic pharmaceutical products and pharmaceutical preparations,17257,5884,120208,240123,4.63,45.31,23075
14,22,Manufacture of rubber and plastics products,414213,293925,120863,314976,4.87,56.76,43167
15,23,Manufacture of other non-metallic mineral products,2190948,1085007,156132,420694,5.55,57.34,43305
16,24,Manufacture of basic metals,2560966,1102471,996599,2771796,4.33,59.72,235420
17,25,"Manufacture of fabricated metal products, except machinery and equipment",2210823,1058830,124392,277212,4.90,50.22,38721
18,27,Manufacture of electrical equipment,370055,120659,229633,1119008,1.45,78.03,54547
19,28,Manufacture of machinery and equipment n.e.c.,-6828,71638,38028,161350,1.46,74.97,41385
20,29,"Manufacture of motor vehicles, trailers and semi-trailers",31686,10690,101130,161799,3.23,34.27,25393
21,30,Manufacture of other transport equipment,29574,42657,270186,435467,14.31,23.64,131252
22,31,Manufacture of furniture,193687,180766,80100,205245,24.41,36.56,35354
23,32,Other manufacturing,-1127,8010,66896,186892,6.19,58.02,55238
24,33,Repair and installation of machinery and equipment,686501,96956,403980,493272,8.22,9.88,50003
25,,Total,37750848,8635387,421764,924164,3.73,50.63,70346
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": true, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": true}
|
psa--4--165--A2
|
What is the Operating Surplus and Percentage of Intermediate Goods To Output for the Manufacture of food products and Manufacture of beverages?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": false, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": 2, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{451193 | 50.29} || {193925 | 41.07}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8\n0,Activity Code,Main Economic Activity,Distribution Of Net Value Added (Value QR. 000),__,(QR.) Value Added Per Worker,( QR.) Productivity Of Employee,(%) Percentage Of Intermediate Services To Output,(%) Percentage Of Intermediate Goods To Output,( QR.) Average Annual Wage (1)\n1,__,__,Operating Surplus,Compensat ion Of Employees,__,__,__,__,__\n2,c,Manufacturing,,,,,,,\n3,10,Manufacture of food products,451193,346430,102194,262416,10.76,50.29,36874\n4,11,Manufacture of beverages,193925,145331,138639,302701,13.13,41.07,49925\n5,13,Manufacture of textiles,9059,19533,54650,124507,14.56,41.55,33445\n6,14,Manufacture of wearing apparel,497903,237662,59980,118969,18.45,31.14,19083\n7,15,Manufacture of leather and related products,7526,815,123024,257485,0.51,51.71,11808\n8,16,\"Manufacture of wood and of products of wood and cork, except furniture, manufacture of aeticles of straw and plaiting materials plaiting materials\",105932,270692,65214,130869,8.87,41.30,41857\n9,17,Manufacture of other articles of paper and paperboard,37444,33923,88704,213312,4.43,53.98,33128\n10,18,Printing and reproduction of recorded media,310143,316465,171186,262238,9.27,25.45,77205\n11,19,Manufacture of coke and refined petroleum products,9680012,429712,12929112,40564008,1.59,66.53,531821\n12,20,Manufacture of chemicals and chemical products,17759956,2757331,2614004,3979990,2.37,31.95,309430\n13,21,Manufacture of basic pharmaceutical products and pharmaceutical preparations,17257,5884,120208,240123,4.63,45.31,23075\n14,22,Manufacture of rubber and plastics products,414213,293925,120863,314976,4.87,56.76,43167\n15,23,Manufacture of other non-metallic mineral products,2190948,1085007,156132,420694,5.55,57.34,43305\n16,24,Manufacture of basic metals,2560966,1102471,996599,2771796,4.33,59.72,235420\n17,25,\"Manufacture of fabricated metal products, except machinery and equipment\",2210823,1058830,124392,277212,4.90,50.22,38721\n18,27,Manufacture of electrical equipment,370055,120659,229633,1119008,1.45,78.03,54547\n19,28,Manufacture of machinery and equipment n.e.c.,-6828,71638,38028,161350,1.46,74.97,41385\n20,29,\"Manufacture of motor vehicles, trailers and semi-trailers\",31686,10690,101130,161799,3.23,34.27,25393\n21,30,Manufacture of other transport equipment,29574,42657,270186,435467,14.31,23.64,131252\n22,31,Manufacture of furniture,193687,180766,80100,205245,24.41,36.56,35354\n23,32,Other manufacturing,-1127,8010,66896,186892,6.19,58.02,55238\n24,33,Repair and installation of machinery and equipment,686501,96956,403980,493272,8.22,9.88,50003\n25,,Total,37750848,8635387,421764,924164,3.73,50.63,70346\n` \\n\\nQuestion: `What is the Operating Surplus and Percentage of Intermediate Goods To Output for the Manufacture of food products and Manufacture of beverages?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8\n0,Activity Code,Main Economic Activity,Distribution Of Net Value Added (Value QR. 000),__,(QR.) Value Added Per Worker,( QR.) Productivity Of Employee,(%) Percentage Of Intermediate Services To Output,(%) Percentage Of Intermediate Goods To Output,( QR.) Average Annual Wage (1)\n1,__,__,Operating Surplus,Compensat ion Of Employees,__,__,__,__,__\n2,c,Manufacturing,,,,,,,\n3,10,Manufacture of food products,451193,346430,102194,262416,10.76,50.29,36874\n4,11,Manufacture of beverages,193925,145331,138639,302701,13.13,41.07,49925\n5,13,Manufacture of textiles,9059,19533,54650,124507,14.56,41.55,33445\n6,14,Manufacture of wearing apparel,497903,237662,59980,118969,18.45,31.14,19083\n7,15,Manufacture of leather and related products,7526,815,123024,257485,0.51,51.71,11808\n8,16,\"Manufacture of wood and of products of wood and cork, except furniture, manufacture of aeticles of straw and plaiting materials plaiting materials\",105932,270692,65214,130869,8.87,41.30,41857\n9,17,Manufacture of other articles of paper and paperboard,37444,33923,88704,213312,4.43,53.98,33128\n10,18,Printing and reproduction of recorded media,310143,316465,171186,262238,9.27,25.45,77205\n11,19,Manufacture of coke and refined petroleum products,9680012,429712,12929112,40564008,1.59,66.53,531821\n12,20,Manufacture of chemicals and chemical products,17759956,2757331,2614004,3979990,2.37,31.95,309430\n13,21,Manufacture of basic pharmaceutical products and pharmaceutical preparations,17257,5884,120208,240123,4.63,45.31,23075\n14,22,Manufacture of rubber and plastics products,414213,293925,120863,314976,4.87,56.76,43167\n15,23,Manufacture of other non-metallic mineral products,2190948,1085007,156132,420694,5.55,57.34,43305\n16,24,Manufacture of basic metals,2560966,1102471,996599,2771796,4.33,59.72,235420\n17,25,\"Manufacture of fabricated metal products, except machinery and equipment\",2210823,1058830,124392,277212,4.90,50.22,38721\n18,27,Manufacture of electrical equipment,370055,120659,229633,1119008,1.45,78.03,54547\n19,28,Manufacture of machinery and equipment n.e.c.,-6828,71638,38028,161350,1.46,74.97,41385\n20,29,\"Manufacture of motor vehicles, trailers and semi-trailers\",31686,10690,101130,161799,3.23,34.27,25393\n21,30,Manufacture of other transport equipment,29574,42657,270186,435467,14.31,23.64,131252\n22,31,Manufacture of furniture,193687,180766,80100,205245,24.41,36.56,35354\n23,32,Other manufacturing,-1127,8010,66896,186892,6.19,58.02,55238\n24,33,Repair and installation of machinery and equipment,686501,96956,403980,493272,8.22,9.88,50003\n25,,Total,37750848,8635387,421764,924164,3.73,50.63,70346\n` \\n\\nQuestion: `What is the Operating Surplus and Percentage of Intermediate Goods To Output for the Manufacture of food products and Manufacture of beverages?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
arxiv--26--10121
|
./tables/csvs/arxiv--26--10121.csv
|
./tables/images/arxiv--26--10121.jpg
|
,0,1,2,3,4,5,6
0,Evaluation of DTW Lower Bounds,__,__,__,__,__,__
1,Metrics,Pruning Power,__,__,Speedup,__,__
2,LBs,Average,Max,Std,Average,Max,Std
3,LB_Kim,23.41%,87.44%,0.1166%,2.456x,7.591x,1.0752x
4,LB_Yi,59.72%,83.28%,21.28%,1.321x,4.331x,0.5325x
5,LB_Keogh,70.19%,98.49%,27.37%,6.314x,25.071x,6.0849x
6,LB_New,81.27%,99.42%,22.12%,1.110x,2.696x,0.5178x
7,LB_Improved,84.71%,99.69%,20.02%,1.492x,3.077x,0.6814x
8,GLB_DTW,81.93%,99.69%,22.44%,10.176x,41.725x,10.3284x
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
arxiv--26--10121--M0
|
Report average value of pruning power for LB_Kim metric
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": true, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "1", "Row Filter Retained Rows Single": true, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "1", "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": "2", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": "", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
{23.41%}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6\n0,Evaluation of DTW Lower Bounds,__,__,__,__,__,__\n1,Metrics,Pruning Power,__,__,Speedup,__,__\n2,LBs,Average,Max,Std,Average,Max,Std\n3,LB_Kim,23.41%,87.44%,0.1166%,2.456x,7.591x,1.0752x\n4,LB_Yi,59.72%,83.28%,21.28%,1.321x,4.331x,0.5325x\n5,LB_Keogh,70.19%,98.49%,27.37%,6.314x,25.071x,6.0849x\n6,LB_New,81.27%,99.42%,22.12%,1.110x,2.696x,0.5178x\n7,LB_Improved,84.71%,99.69%,20.02%,1.492x,3.077x,0.6814x\n8,GLB_DTW,81.93%,99.69%,22.44%,10.176x,41.725x,10.3284x\n` \\n\\nQuestion: `Report average value of pruning power for LB_Kim metric`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6\n0,Evaluation of DTW Lower Bounds,__,__,__,__,__,__\n1,Metrics,Pruning Power,__,__,Speedup,__,__\n2,LBs,Average,Max,Std,Average,Max,Std\n3,LB_Kim,23.41%,87.44%,0.1166%,2.456x,7.591x,1.0752x\n4,LB_Yi,59.72%,83.28%,21.28%,1.321x,4.331x,0.5325x\n5,LB_Keogh,70.19%,98.49%,27.37%,6.314x,25.071x,6.0849x\n6,LB_New,81.27%,99.42%,22.12%,1.110x,2.696x,0.5178x\n7,LB_Improved,84.71%,99.69%,20.02%,1.492x,3.077x,0.6814x\n8,GLB_DTW,81.93%,99.69%,22.44%,10.176x,41.725x,10.3284x\n` \\n\\nQuestion: `Report average value of pruning power for LB_Kim metric`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
arxiv--26--10121
|
./tables/csvs/arxiv--26--10121.csv
|
./tables/images/arxiv--26--10121.jpg
|
,0,1,2,3,4,5,6
0,Evaluation of DTW Lower Bounds,__,__,__,__,__,__
1,Metrics,Pruning Power,__,__,Speedup,__,__
2,LBs,Average,Max,Std,Average,Max,Std
3,LB_Kim,23.41%,87.44%,0.1166%,2.456x,7.591x,1.0752x
4,LB_Yi,59.72%,83.28%,21.28%,1.321x,4.331x,0.5325x
5,LB_Keogh,70.19%,98.49%,27.37%,6.314x,25.071x,6.0849x
6,LB_New,81.27%,99.42%,22.12%,1.110x,2.696x,0.5178x
7,LB_Improved,84.71%,99.69%,20.02%,1.492x,3.077x,0.6814x
8,GLB_DTW,81.93%,99.69%,22.44%,10.176x,41.725x,10.3284x
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
arxiv--26--10121--A1
|
What were the Average Pruning Power and Average Speedup for LB_Kim and LB_Yi?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": false, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": 2, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{23.41% | 2.456x} || {59.72% | 1.321x}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6\n0,Evaluation of DTW Lower Bounds,__,__,__,__,__,__\n1,Metrics,Pruning Power,__,__,Speedup,__,__\n2,LBs,Average,Max,Std,Average,Max,Std\n3,LB_Kim,23.41%,87.44%,0.1166%,2.456x,7.591x,1.0752x\n4,LB_Yi,59.72%,83.28%,21.28%,1.321x,4.331x,0.5325x\n5,LB_Keogh,70.19%,98.49%,27.37%,6.314x,25.071x,6.0849x\n6,LB_New,81.27%,99.42%,22.12%,1.110x,2.696x,0.5178x\n7,LB_Improved,84.71%,99.69%,20.02%,1.492x,3.077x,0.6814x\n8,GLB_DTW,81.93%,99.69%,22.44%,10.176x,41.725x,10.3284x\n` \\n\\nQuestion: `What were the Average Pruning Power and Average Speedup for LB_Kim and LB_Yi?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6\n0,Evaluation of DTW Lower Bounds,__,__,__,__,__,__\n1,Metrics,Pruning Power,__,__,Speedup,__,__\n2,LBs,Average,Max,Std,Average,Max,Std\n3,LB_Kim,23.41%,87.44%,0.1166%,2.456x,7.591x,1.0752x\n4,LB_Yi,59.72%,83.28%,21.28%,1.321x,4.331x,0.5325x\n5,LB_Keogh,70.19%,98.49%,27.37%,6.314x,25.071x,6.0849x\n6,LB_New,81.27%,99.42%,22.12%,1.110x,2.696x,0.5178x\n7,LB_Improved,84.71%,99.69%,20.02%,1.492x,3.077x,0.6814x\n8,GLB_DTW,81.93%,99.69%,22.44%,10.176x,41.725x,10.3284x\n` \\n\\nQuestion: `What were the Average Pruning Power and Average Speedup for LB_Kim and LB_Yi?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
arxiv--26--10121
|
./tables/csvs/arxiv--26--10121.csv
|
./tables/images/arxiv--26--10121.jpg
|
,0,1,2,3,4,5,6
0,Evaluation of DTW Lower Bounds,__,__,__,__,__,__
1,Metrics,Pruning Power,__,__,Speedup,__,__
2,LBs,Average,Max,Std,Average,Max,Std
3,LB_Kim,23.41%,87.44%,0.1166%,2.456x,7.591x,1.0752x
4,LB_Yi,59.72%,83.28%,21.28%,1.321x,4.331x,0.5325x
5,LB_Keogh,70.19%,98.49%,27.37%,6.314x,25.071x,6.0849x
6,LB_New,81.27%,99.42%,22.12%,1.110x,2.696x,0.5178x
7,LB_Improved,84.71%,99.69%,20.02%,1.492x,3.077x,0.6814x
8,GLB_DTW,81.93%,99.69%,22.44%,10.176x,41.725x,10.3284x
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
arxiv--26--10121--A2
|
What are the top 3 metrics based on the Max pruning power and what are their values?
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": false, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": false, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": 2, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": true, "Rank Rank On Plain": true, "Rank Rank On Expression": false, "Rank Report Top": 3}
|
{GLB_DTW | 99.69} || {LB_Improved | 99.69} || {LB_New | 99.42}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6\n0,Evaluation of DTW Lower Bounds,__,__,__,__,__,__\n1,Metrics,Pruning Power,__,__,Speedup,__,__\n2,LBs,Average,Max,Std,Average,Max,Std\n3,LB_Kim,23.41%,87.44%,0.1166%,2.456x,7.591x,1.0752x\n4,LB_Yi,59.72%,83.28%,21.28%,1.321x,4.331x,0.5325x\n5,LB_Keogh,70.19%,98.49%,27.37%,6.314x,25.071x,6.0849x\n6,LB_New,81.27%,99.42%,22.12%,1.110x,2.696x,0.5178x\n7,LB_Improved,84.71%,99.69%,20.02%,1.492x,3.077x,0.6814x\n8,GLB_DTW,81.93%,99.69%,22.44%,10.176x,41.725x,10.3284x\n` \\n\\nQuestion: `What are the top 3 metrics based on the Max pruning power and what are their values?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6\n0,Evaluation of DTW Lower Bounds,__,__,__,__,__,__\n1,Metrics,Pruning Power,__,__,Speedup,__,__\n2,LBs,Average,Max,Std,Average,Max,Std\n3,LB_Kim,23.41%,87.44%,0.1166%,2.456x,7.591x,1.0752x\n4,LB_Yi,59.72%,83.28%,21.28%,1.321x,4.331x,0.5325x\n5,LB_Keogh,70.19%,98.49%,27.37%,6.314x,25.071x,6.0849x\n6,LB_New,81.27%,99.42%,22.12%,1.110x,2.696x,0.5178x\n7,LB_Improved,84.71%,99.69%,20.02%,1.492x,3.077x,0.6814x\n8,GLB_DTW,81.93%,99.69%,22.44%,10.176x,41.725x,10.3284x\n` \\n\\nQuestion: `What are the top 3 metrics based on the Max pruning power and what are their values?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
arxiv--26--10121
|
./tables/csvs/arxiv--26--10121.csv
|
./tables/images/arxiv--26--10121.jpg
|
,0,1,2,3,4,5,6
0,Evaluation of DTW Lower Bounds,__,__,__,__,__,__
1,Metrics,Pruning Power,__,__,Speedup,__,__
2,LBs,Average,Max,Std,Average,Max,Std
3,LB_Kim,23.41%,87.44%,0.1166%,2.456x,7.591x,1.0752x
4,LB_Yi,59.72%,83.28%,21.28%,1.321x,4.331x,0.5325x
5,LB_Keogh,70.19%,98.49%,27.37%,6.314x,25.071x,6.0849x
6,LB_New,81.27%,99.42%,22.12%,1.110x,2.696x,0.5178x
7,LB_Improved,84.71%,99.69%,20.02%,1.492x,3.077x,0.6814x
8,GLB_DTW,81.93%,99.69%,22.44%,10.176x,41.725x,10.3284x
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
arxiv--26--10121--M1
|
Report max average value of pruning power across all metrics
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "", "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "", "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": "2", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": true, "Aggregation Aggregation On Plain": true, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": true, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": true, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": true, "Aggregation Num Of Aggregations": "1", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
{84.71%}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6\n0,Evaluation of DTW Lower Bounds,__,__,__,__,__,__\n1,Metrics,Pruning Power,__,__,Speedup,__,__\n2,LBs,Average,Max,Std,Average,Max,Std\n3,LB_Kim,23.41%,87.44%,0.1166%,2.456x,7.591x,1.0752x\n4,LB_Yi,59.72%,83.28%,21.28%,1.321x,4.331x,0.5325x\n5,LB_Keogh,70.19%,98.49%,27.37%,6.314x,25.071x,6.0849x\n6,LB_New,81.27%,99.42%,22.12%,1.110x,2.696x,0.5178x\n7,LB_Improved,84.71%,99.69%,20.02%,1.492x,3.077x,0.6814x\n8,GLB_DTW,81.93%,99.69%,22.44%,10.176x,41.725x,10.3284x\n` \\n\\nQuestion: `Report max average value of pruning power across all metrics`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6\n0,Evaluation of DTW Lower Bounds,__,__,__,__,__,__\n1,Metrics,Pruning Power,__,__,Speedup,__,__\n2,LBs,Average,Max,Std,Average,Max,Std\n3,LB_Kim,23.41%,87.44%,0.1166%,2.456x,7.591x,1.0752x\n4,LB_Yi,59.72%,83.28%,21.28%,1.321x,4.331x,0.5325x\n5,LB_Keogh,70.19%,98.49%,27.37%,6.314x,25.071x,6.0849x\n6,LB_New,81.27%,99.42%,22.12%,1.110x,2.696x,0.5178x\n7,LB_Improved,84.71%,99.69%,20.02%,1.492x,3.077x,0.6814x\n8,GLB_DTW,81.93%,99.69%,22.44%,10.176x,41.725x,10.3284x\n` \\n\\nQuestion: `Report max average value of pruning power across all metrics`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
arxiv--17--2184
|
./tables/csvs/arxiv--17--2184.csv
|
./tables/images/arxiv--17--2184.jpg
|
,0,1,2,3,4,5,6,7,8,9,10,11,12,13
0,,DQ1,DQ2,DQ3,DQ4,DQ5,DQ6,DQ7,DQ8,DQ9,DQ10,DQ11,DQ12,Sum
1,AQ2019Q1,1,2,2,0,0,0,0,0,0,0,0,0,5
2,AQ2019Q2,2,1,0,1,0,0,0,0,0,0,0,0,4
3,AQ2019Q3,1,0,0,1,1,0,0,1,0,0,0,0,4
4,AQ2019Q4,1,0,0,0,1,0,0,1,0,0,0,0,3
5,AQ2020Q1,0,2,18,8,1,0,0,0,0,0,0,0,29
6,AQ2020Q2,1,5,1,0,1,2,0,0,0,0,0,0,10
7,AQ2020Q3,2,1,2,0,1,0,0,0,0,0,0,0,6
8,AQ2020Q4,0,3,0,1,0,0,0,0,0,0,0,0,4
9,AQ2021Q1,2,3,5,1,0,0,0,0,0,0,0,0,11
10,AQ2021Q2,3,3,1,0,0,0,0,0,0,0,0,0,7
11,AQ2021Q3,1,3,0,0,0,0,0,0,0,0,0,0,4
12,AQ2021Q4,3,0,0,0,0,0,0,0,0,0,0,0,3
13,Sum,17,23,29,12,5,2,0,2,0,0,0,0,90
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
arxiv--17--2184--M0
|
Report the DQ6 result for AQ2019Q1
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": true, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "1", "Row Filter Retained Rows Single": true, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "1", "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": "1", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": "", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
{0}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10,11,12,13\n0,,DQ1,DQ2,DQ3,DQ4,DQ5,DQ6,DQ7,DQ8,DQ9,DQ10,DQ11,DQ12,Sum\n1,AQ2019Q1,1,2,2,0,0,0,0,0,0,0,0,0,5\n2,AQ2019Q2,2,1,0,1,0,0,0,0,0,0,0,0,4\n3,AQ2019Q3,1,0,0,1,1,0,0,1,0,0,0,0,4\n4,AQ2019Q4,1,0,0,0,1,0,0,1,0,0,0,0,3\n5,AQ2020Q1,0,2,18,8,1,0,0,0,0,0,0,0,29\n6,AQ2020Q2,1,5,1,0,1,2,0,0,0,0,0,0,10\n7,AQ2020Q3,2,1,2,0,1,0,0,0,0,0,0,0,6\n8,AQ2020Q4,0,3,0,1,0,0,0,0,0,0,0,0,4\n9,AQ2021Q1,2,3,5,1,0,0,0,0,0,0,0,0,11\n10,AQ2021Q2,3,3,1,0,0,0,0,0,0,0,0,0,7\n11,AQ2021Q3,1,3,0,0,0,0,0,0,0,0,0,0,4\n12,AQ2021Q4,3,0,0,0,0,0,0,0,0,0,0,0,3\n13,Sum,17,23,29,12,5,2,0,2,0,0,0,0,90\n` \\n\\nQuestion: `Report the DQ6 result for AQ2019Q1`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10,11,12,13\n0,,DQ1,DQ2,DQ3,DQ4,DQ5,DQ6,DQ7,DQ8,DQ9,DQ10,DQ11,DQ12,Sum\n1,AQ2019Q1,1,2,2,0,0,0,0,0,0,0,0,0,5\n2,AQ2019Q2,2,1,0,1,0,0,0,0,0,0,0,0,4\n3,AQ2019Q3,1,0,0,1,1,0,0,1,0,0,0,0,4\n4,AQ2019Q4,1,0,0,0,1,0,0,1,0,0,0,0,3\n5,AQ2020Q1,0,2,18,8,1,0,0,0,0,0,0,0,29\n6,AQ2020Q2,1,5,1,0,1,2,0,0,0,0,0,0,10\n7,AQ2020Q3,2,1,2,0,1,0,0,0,0,0,0,0,6\n8,AQ2020Q4,0,3,0,1,0,0,0,0,0,0,0,0,4\n9,AQ2021Q1,2,3,5,1,0,0,0,0,0,0,0,0,11\n10,AQ2021Q2,3,3,1,0,0,0,0,0,0,0,0,0,7\n11,AQ2021Q3,1,3,0,0,0,0,0,0,0,0,0,0,4\n12,AQ2021Q4,3,0,0,0,0,0,0,0,0,0,0,0,3\n13,Sum,17,23,29,12,5,2,0,2,0,0,0,0,90\n` \\n\\nQuestion: `Report the DQ6 result for AQ2019Q1`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
psa--4--534
|
./tables/csvs/psa--4--534.csv
|
./tables/images/psa--4--534.jpg
|
,0,1,2,3,4,5,6,7,8,9
0,Nationality &gender Year,Total,__,__,Non-Qataris,__,__,Qataris,__,__
1,__,T,F,M,T,F,M,T,F,M
2,2007,85.1,49.3,94.9,90.6,56.0,97.7,49.4,34.6,64.7
3,2008,87.4,50.4,95.8,91.8,56.0,98.0,49.5,36.3,63.1
4,2009,87.7,49.1,96.0,92.0,54.4,98.2,49.4,36.0,62.8
5,2011,86.7,52.1,95.7,91.3,58.6,98.0,48.7,34.1,63.6
6,2012,86.5,52.4,95.7,90.7,58.4,97.7,51.3,34.6,68.1
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
psa--4--534--A4
|
What were the labor force participation rates for Qatari females in the years 2007, 2009, and 2011?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": false, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": 2, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{34.6} || {36.0} || {34.1}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9\n0,Nationality &gender Year,Total,__,__,Non-Qataris,__,__,Qataris,__,__\n1,__,T,F,M,T,F,M,T,F,M\n2,2007,85.1,49.3,94.9,90.6,56.0,97.7,49.4,34.6,64.7\n3,2008,87.4,50.4,95.8,91.8,56.0,98.0,49.5,36.3,63.1\n4,2009,87.7,49.1,96.0,92.0,54.4,98.2,49.4,36.0,62.8\n5,2011,86.7,52.1,95.7,91.3,58.6,98.0,48.7,34.1,63.6\n6,2012,86.5,52.4,95.7,90.7,58.4,97.7,51.3,34.6,68.1\n` \\n\\nQuestion: `What were the labor force participation rates for Qatari females in the years 2007, 2009, and 2011?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9\n0,Nationality &gender Year,Total,__,__,Non-Qataris,__,__,Qataris,__,__\n1,__,T,F,M,T,F,M,T,F,M\n2,2007,85.1,49.3,94.9,90.6,56.0,97.7,49.4,34.6,64.7\n3,2008,87.4,50.4,95.8,91.8,56.0,98.0,49.5,36.3,63.1\n4,2009,87.7,49.1,96.0,92.0,54.4,98.2,49.4,36.0,62.8\n5,2011,86.7,52.1,95.7,91.3,58.6,98.0,48.7,34.1,63.6\n6,2012,86.5,52.4,95.7,90.7,58.4,97.7,51.3,34.6,68.1\n` \\n\\nQuestion: `What were the labor force participation rates for Qatari females in the years 2007, 2009, and 2011?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
psa--4--534
|
./tables/csvs/psa--4--534.csv
|
./tables/images/psa--4--534.jpg
|
,0,1,2,3,4,5,6,7,8,9
0,Nationality &gender Year,Total,__,__,Non-Qataris,__,__,Qataris,__,__
1,__,T,F,M,T,F,M,T,F,M
2,2007,85.1,49.3,94.9,90.6,56.0,97.7,49.4,34.6,64.7
3,2008,87.4,50.4,95.8,91.8,56.0,98.0,49.5,36.3,63.1
4,2009,87.7,49.1,96.0,92.0,54.4,98.2,49.4,36.0,62.8
5,2011,86.7,52.1,95.7,91.3,58.6,98.0,48.7,34.1,63.6
6,2012,86.5,52.4,95.7,90.7,58.4,97.7,51.3,34.6,68.1
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
psa--4--534--M0
|
Does the number of non qatari males increase over the years
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "", "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "", "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": "2", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": "1", "Yes/No": true, "Yes/No Scope Single": true, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": "", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
No
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9\n0,Nationality &gender Year,Total,__,__,Non-Qataris,__,__,Qataris,__,__\n1,__,T,F,M,T,F,M,T,F,M\n2,2007,85.1,49.3,94.9,90.6,56.0,97.7,49.4,34.6,64.7\n3,2008,87.4,50.4,95.8,91.8,56.0,98.0,49.5,36.3,63.1\n4,2009,87.7,49.1,96.0,92.0,54.4,98.2,49.4,36.0,62.8\n5,2011,86.7,52.1,95.7,91.3,58.6,98.0,48.7,34.1,63.6\n6,2012,86.5,52.4,95.7,90.7,58.4,97.7,51.3,34.6,68.1\n` \\n\\nQuestion: `Does the number of non qatari males increase over the years`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9\n0,Nationality &gender Year,Total,__,__,Non-Qataris,__,__,Qataris,__,__\n1,__,T,F,M,T,F,M,T,F,M\n2,2007,85.1,49.3,94.9,90.6,56.0,97.7,49.4,34.6,64.7\n3,2008,87.4,50.4,95.8,91.8,56.0,98.0,49.5,36.3,63.1\n4,2009,87.7,49.1,96.0,92.0,54.4,98.2,49.4,36.0,62.8\n5,2011,86.7,52.1,95.7,91.3,58.6,98.0,48.7,34.1,63.6\n6,2012,86.5,52.4,95.7,90.7,58.4,97.7,51.3,34.6,68.1\n` \\n\\nQuestion: `Does the number of non qatari males increase over the years`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
psa--4--534
|
./tables/csvs/psa--4--534.csv
|
./tables/images/psa--4--534.jpg
|
,0,1,2,3,4,5,6,7,8,9
0,Nationality &gender Year,Total,__,__,Non-Qataris,__,__,Qataris,__,__
1,__,T,F,M,T,F,M,T,F,M
2,2007,85.1,49.3,94.9,90.6,56.0,97.7,49.4,34.6,64.7
3,2008,87.4,50.4,95.8,91.8,56.0,98.0,49.5,36.3,63.1
4,2009,87.7,49.1,96.0,92.0,54.4,98.2,49.4,36.0,62.8
5,2011,86.7,52.1,95.7,91.3,58.6,98.0,48.7,34.1,63.6
6,2012,86.5,52.4,95.7,90.7,58.4,97.7,51.3,34.6,68.1
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
psa--4--534--A5
|
Among the years where the total labor force participation rate for Non-Qataris was greater than 90%, what was the maximum participation rate for Qatari Males and the minimum for Non-Qatari Females?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": true, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": true, "Row Filter Num Of Conditions": 1, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": 2, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": true, "Aggregation Aggregation On Plain": true, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": true, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": true, "Aggregation Num Of Aggregations": 2, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{68.1} || {54.4}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9\n0,Nationality &gender Year,Total,__,__,Non-Qataris,__,__,Qataris,__,__\n1,__,T,F,M,T,F,M,T,F,M\n2,2007,85.1,49.3,94.9,90.6,56.0,97.7,49.4,34.6,64.7\n3,2008,87.4,50.4,95.8,91.8,56.0,98.0,49.5,36.3,63.1\n4,2009,87.7,49.1,96.0,92.0,54.4,98.2,49.4,36.0,62.8\n5,2011,86.7,52.1,95.7,91.3,58.6,98.0,48.7,34.1,63.6\n6,2012,86.5,52.4,95.7,90.7,58.4,97.7,51.3,34.6,68.1\n` \\n\\nQuestion: `Among the years where the total labor force participation rate for Non-Qataris was greater than 90%, what was the maximum participation rate for Qatari Males and the minimum for Non-Qatari Females?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9\n0,Nationality &gender Year,Total,__,__,Non-Qataris,__,__,Qataris,__,__\n1,__,T,F,M,T,F,M,T,F,M\n2,2007,85.1,49.3,94.9,90.6,56.0,97.7,49.4,34.6,64.7\n3,2008,87.4,50.4,95.8,91.8,56.0,98.0,49.5,36.3,63.1\n4,2009,87.7,49.1,96.0,92.0,54.4,98.2,49.4,36.0,62.8\n5,2011,86.7,52.1,95.7,91.3,58.6,98.0,48.7,34.1,63.6\n6,2012,86.5,52.4,95.7,90.7,58.4,97.7,51.3,34.6,68.1\n` \\n\\nQuestion: `Among the years where the total labor force participation rate for Non-Qataris was greater than 90%, what was the maximum participation rate for Qatari Males and the minimum for Non-Qatari Females?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
psa--4--534
|
./tables/csvs/psa--4--534.csv
|
./tables/images/psa--4--534.jpg
|
,0,1,2,3,4,5,6,7,8,9
0,Nationality &gender Year,Total,__,__,Non-Qataris,__,__,Qataris,__,__
1,__,T,F,M,T,F,M,T,F,M
2,2007,85.1,49.3,94.9,90.6,56.0,97.7,49.4,34.6,64.7
3,2008,87.4,50.4,95.8,91.8,56.0,98.0,49.5,36.3,63.1
4,2009,87.7,49.1,96.0,92.0,54.4,98.2,49.4,36.0,62.8
5,2011,86.7,52.1,95.7,91.3,58.6,98.0,48.7,34.1,63.6
6,2012,86.5,52.4,95.7,90.7,58.4,97.7,51.3,34.6,68.1
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
psa--4--534--A0
|
What were the top 2 years with the highest total labor force participation rate for non-Qataris and what were those rates?
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": false, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": false, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": 2, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": true, "Rank Rank On Plain": true, "Rank Rank On Expression": false, "Rank Report Top": 2}
|
{2009 | 92.0} || {2008 | 91.8}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9\n0,Nationality &gender Year,Total,__,__,Non-Qataris,__,__,Qataris,__,__\n1,__,T,F,M,T,F,M,T,F,M\n2,2007,85.1,49.3,94.9,90.6,56.0,97.7,49.4,34.6,64.7\n3,2008,87.4,50.4,95.8,91.8,56.0,98.0,49.5,36.3,63.1\n4,2009,87.7,49.1,96.0,92.0,54.4,98.2,49.4,36.0,62.8\n5,2011,86.7,52.1,95.7,91.3,58.6,98.0,48.7,34.1,63.6\n6,2012,86.5,52.4,95.7,90.7,58.4,97.7,51.3,34.6,68.1\n` \\n\\nQuestion: `What were the top 2 years with the highest total labor force participation rate for non-Qataris and what were those rates?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9\n0,Nationality &gender Year,Total,__,__,Non-Qataris,__,__,Qataris,__,__\n1,__,T,F,M,T,F,M,T,F,M\n2,2007,85.1,49.3,94.9,90.6,56.0,97.7,49.4,34.6,64.7\n3,2008,87.4,50.4,95.8,91.8,56.0,98.0,49.5,36.3,63.1\n4,2009,87.7,49.1,96.0,92.0,54.4,98.2,49.4,36.0,62.8\n5,2011,86.7,52.1,95.7,91.3,58.6,98.0,48.7,34.1,63.6\n6,2012,86.5,52.4,95.7,90.7,58.4,97.7,51.3,34.6,68.1\n` \\n\\nQuestion: `What were the top 2 years with the highest total labor force participation rate for non-Qataris and what were those rates?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
psa--4--534
|
./tables/csvs/psa--4--534.csv
|
./tables/images/psa--4--534.jpg
|
,0,1,2,3,4,5,6,7,8,9
0,Nationality &gender Year,Total,__,__,Non-Qataris,__,__,Qataris,__,__
1,__,T,F,M,T,F,M,T,F,M
2,2007,85.1,49.3,94.9,90.6,56.0,97.7,49.4,34.6,64.7
3,2008,87.4,50.4,95.8,91.8,56.0,98.0,49.5,36.3,63.1
4,2009,87.7,49.1,96.0,92.0,54.4,98.2,49.4,36.0,62.8
5,2011,86.7,52.1,95.7,91.3,58.6,98.0,48.7,34.1,63.6
6,2012,86.5,52.4,95.7,90.7,58.4,97.7,51.3,34.6,68.1
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
psa--4--534--M1
|
What is the average of non qatari males across the years?
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "", "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "", "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": "2", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": true, "Aggregation Aggregation On Plain": true, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": true, "Aggregation Grouping Local": false, "Aggregation Grouping Global": true, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": true, "Aggregation Num Of Aggregations": "1", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
{97.92}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9\n0,Nationality &gender Year,Total,__,__,Non-Qataris,__,__,Qataris,__,__\n1,__,T,F,M,T,F,M,T,F,M\n2,2007,85.1,49.3,94.9,90.6,56.0,97.7,49.4,34.6,64.7\n3,2008,87.4,50.4,95.8,91.8,56.0,98.0,49.5,36.3,63.1\n4,2009,87.7,49.1,96.0,92.0,54.4,98.2,49.4,36.0,62.8\n5,2011,86.7,52.1,95.7,91.3,58.6,98.0,48.7,34.1,63.6\n6,2012,86.5,52.4,95.7,90.7,58.4,97.7,51.3,34.6,68.1\n` \\n\\nQuestion: `What is the average of non qatari males across the years?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9\n0,Nationality &gender Year,Total,__,__,Non-Qataris,__,__,Qataris,__,__\n1,__,T,F,M,T,F,M,T,F,M\n2,2007,85.1,49.3,94.9,90.6,56.0,97.7,49.4,34.6,64.7\n3,2008,87.4,50.4,95.8,91.8,56.0,98.0,49.5,36.3,63.1\n4,2009,87.7,49.1,96.0,92.0,54.4,98.2,49.4,36.0,62.8\n5,2011,86.7,52.1,95.7,91.3,58.6,98.0,48.7,34.1,63.6\n6,2012,86.5,52.4,95.7,90.7,58.4,97.7,51.3,34.6,68.1\n` \\n\\nQuestion: `What is the average of non qatari males across the years?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
psa--4--534
|
./tables/csvs/psa--4--534.csv
|
./tables/images/psa--4--534.jpg
|
,0,1,2,3,4,5,6,7,8,9
0,Nationality &gender Year,Total,__,__,Non-Qataris,__,__,Qataris,__,__
1,__,T,F,M,T,F,M,T,F,M
2,2007,85.1,49.3,94.9,90.6,56.0,97.7,49.4,34.6,64.7
3,2008,87.4,50.4,95.8,91.8,56.0,98.0,49.5,36.3,63.1
4,2009,87.7,49.1,96.0,92.0,54.4,98.2,49.4,36.0,62.8
5,2011,86.7,52.1,95.7,91.3,58.6,98.0,48.7,34.1,63.6
6,2012,86.5,52.4,95.7,90.7,58.4,97.7,51.3,34.6,68.1
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
psa--4--534--A3
|
In which year was the difference between the total labor force participation rate of Qatari males and non-Qatari females the greatest, and what was that difference?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": true, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": true, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": true, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": 1, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": 1, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{2012} || {9.7}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9\n0,Nationality &gender Year,Total,__,__,Non-Qataris,__,__,Qataris,__,__\n1,__,T,F,M,T,F,M,T,F,M\n2,2007,85.1,49.3,94.9,90.6,56.0,97.7,49.4,34.6,64.7\n3,2008,87.4,50.4,95.8,91.8,56.0,98.0,49.5,36.3,63.1\n4,2009,87.7,49.1,96.0,92.0,54.4,98.2,49.4,36.0,62.8\n5,2011,86.7,52.1,95.7,91.3,58.6,98.0,48.7,34.1,63.6\n6,2012,86.5,52.4,95.7,90.7,58.4,97.7,51.3,34.6,68.1\n` \\n\\nQuestion: `In which year was the difference between the total labor force participation rate of Qatari males and non-Qatari females the greatest, and what was that difference?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9\n0,Nationality &gender Year,Total,__,__,Non-Qataris,__,__,Qataris,__,__\n1,__,T,F,M,T,F,M,T,F,M\n2,2007,85.1,49.3,94.9,90.6,56.0,97.7,49.4,34.6,64.7\n3,2008,87.4,50.4,95.8,91.8,56.0,98.0,49.5,36.3,63.1\n4,2009,87.7,49.1,96.0,92.0,54.4,98.2,49.4,36.0,62.8\n5,2011,86.7,52.1,95.7,91.3,58.6,98.0,48.7,34.1,63.6\n6,2012,86.5,52.4,95.7,90.7,58.4,97.7,51.3,34.6,68.1\n` \\n\\nQuestion: `In which year was the difference between the total labor force participation rate of Qatari males and non-Qatari females the greatest, and what was that difference?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
psa--4--534
|
./tables/csvs/psa--4--534.csv
|
./tables/images/psa--4--534.jpg
|
,0,1,2,3,4,5,6,7,8,9
0,Nationality &gender Year,Total,__,__,Non-Qataris,__,__,Qataris,__,__
1,__,T,F,M,T,F,M,T,F,M
2,2007,85.1,49.3,94.9,90.6,56.0,97.7,49.4,34.6,64.7
3,2008,87.4,50.4,95.8,91.8,56.0,98.0,49.5,36.3,63.1
4,2009,87.7,49.1,96.0,92.0,54.4,98.2,49.4,36.0,62.8
5,2011,86.7,52.1,95.7,91.3,58.6,98.0,48.7,34.1,63.6
6,2012,86.5,52.4,95.7,90.7,58.4,97.7,51.3,34.6,68.1
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
psa--4--534--A2
|
What was the difference in labor force participation rates between Qatari males and females in the year 2011?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": true, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": 1, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": 1, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{29.5}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9\n0,Nationality &gender Year,Total,__,__,Non-Qataris,__,__,Qataris,__,__\n1,__,T,F,M,T,F,M,T,F,M\n2,2007,85.1,49.3,94.9,90.6,56.0,97.7,49.4,34.6,64.7\n3,2008,87.4,50.4,95.8,91.8,56.0,98.0,49.5,36.3,63.1\n4,2009,87.7,49.1,96.0,92.0,54.4,98.2,49.4,36.0,62.8\n5,2011,86.7,52.1,95.7,91.3,58.6,98.0,48.7,34.1,63.6\n6,2012,86.5,52.4,95.7,90.7,58.4,97.7,51.3,34.6,68.1\n` \\n\\nQuestion: `What was the difference in labor force participation rates between Qatari males and females in the year 2011?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9\n0,Nationality &gender Year,Total,__,__,Non-Qataris,__,__,Qataris,__,__\n1,__,T,F,M,T,F,M,T,F,M\n2,2007,85.1,49.3,94.9,90.6,56.0,97.7,49.4,34.6,64.7\n3,2008,87.4,50.4,95.8,91.8,56.0,98.0,49.5,36.3,63.1\n4,2009,87.7,49.1,96.0,92.0,54.4,98.2,49.4,36.0,62.8\n5,2011,86.7,52.1,95.7,91.3,58.6,98.0,48.7,34.1,63.6\n6,2012,86.5,52.4,95.7,90.7,58.4,97.7,51.3,34.6,68.1\n` \\n\\nQuestion: `What was the difference in labor force participation rates between Qatari males and females in the year 2011?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
psa--4--534
|
./tables/csvs/psa--4--534.csv
|
./tables/images/psa--4--534.jpg
|
,0,1,2,3,4,5,6,7,8,9
0,Nationality &gender Year,Total,__,__,Non-Qataris,__,__,Qataris,__,__
1,__,T,F,M,T,F,M,T,F,M
2,2007,85.1,49.3,94.9,90.6,56.0,97.7,49.4,34.6,64.7
3,2008,87.4,50.4,95.8,91.8,56.0,98.0,49.5,36.3,63.1
4,2009,87.7,49.1,96.0,92.0,54.4,98.2,49.4,36.0,62.8
5,2011,86.7,52.1,95.7,91.3,58.6,98.0,48.7,34.1,63.6
6,2012,86.5,52.4,95.7,90.7,58.4,97.7,51.3,34.6,68.1
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
psa--4--534--A1
|
What is the maximum participation rate for Non-Qatari males and the minimum participation rate for Qatari females from 2007 to 2012?
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": false, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": false, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": 2, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": true, "Aggregation Aggregation On Plain": true, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": true, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": true, "Aggregation Num Of Aggregations": 2, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{98.2} || {34.1}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9\n0,Nationality &gender Year,Total,__,__,Non-Qataris,__,__,Qataris,__,__\n1,__,T,F,M,T,F,M,T,F,M\n2,2007,85.1,49.3,94.9,90.6,56.0,97.7,49.4,34.6,64.7\n3,2008,87.4,50.4,95.8,91.8,56.0,98.0,49.5,36.3,63.1\n4,2009,87.7,49.1,96.0,92.0,54.4,98.2,49.4,36.0,62.8\n5,2011,86.7,52.1,95.7,91.3,58.6,98.0,48.7,34.1,63.6\n6,2012,86.5,52.4,95.7,90.7,58.4,97.7,51.3,34.6,68.1\n` \\n\\nQuestion: `What is the maximum participation rate for Non-Qatari males and the minimum participation rate for Qatari females from 2007 to 2012?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9\n0,Nationality &gender Year,Total,__,__,Non-Qataris,__,__,Qataris,__,__\n1,__,T,F,M,T,F,M,T,F,M\n2,2007,85.1,49.3,94.9,90.6,56.0,97.7,49.4,34.6,64.7\n3,2008,87.4,50.4,95.8,91.8,56.0,98.0,49.5,36.3,63.1\n4,2009,87.7,49.1,96.0,92.0,54.4,98.2,49.4,36.0,62.8\n5,2011,86.7,52.1,95.7,91.3,58.6,98.0,48.7,34.1,63.6\n6,2012,86.5,52.4,95.7,90.7,58.4,97.7,51.3,34.6,68.1\n` \\n\\nQuestion: `What is the maximum participation rate for Non-Qatari males and the minimum participation rate for Qatari females from 2007 to 2012?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
census--1--2426
|
./tables/csvs/census--1--2426.csv
|
./tables/images/census--1--2426.jpg
|
,0,1,2,3,4,5,6
0,Item,1998,1999,2000,2001,2002,2003
1,Corporate profits with IVA/CCA 1. .,802,851,818,770,904,"1,070"
2,Domestic industries,699,730,672,609,751,905
3,Rest of the world .,103,122,146,162,153,165
4,Corporate profits with IVA 1,739,777,759,706,743,844
5,Domestic industries,636,655,614,544,589,679
6,Financial 2,165,194,200,226,255,269
7,Nonfinancial,470,461,413,319,334,410
8,Utilities,33,33,24,24,22,24
9,Manufacturing,157,151,144,54,73,97
10,Wholesale trade,53,56,60,52,49,45
11,Retail trade,66,65,60,71,77,80
12,Transportation and warehousing.,21,16,15,(Z),-2,12
13,Information .,20,11,-18,-27,-20,-5
14,Other nonfinancial 3,120,130,128,145,136,157
15,Rest of the world,103,122,146,162,153,165
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": false, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": true, "Split Header Cell": false, "Row Group Label": false}
|
census--1--2426--M1
|
Report the top 2 Items having the highest values for Year 2002
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "", "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "", "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": "1", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": "", "Rank": true, "Rank Rank On Plain": true, "Rank Rank On Expression": false, "Rank Report Top": "2"}
|
{Domestic industries | 751} || {Domestic industries | 589}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6\n0,Item,1998,1999,2000,2001,2002,2003\n1,Corporate profits with IVA/CCA 1. .,802,851,818,770,904,\"1,070\"\n2,Domestic industries,699,730,672,609,751,905\n3,Rest of the world .,103,122,146,162,153,165\n4,Corporate profits with IVA 1,739,777,759,706,743,844\n5,Domestic industries,636,655,614,544,589,679\n6,Financial 2,165,194,200,226,255,269\n7,Nonfinancial,470,461,413,319,334,410\n8,Utilities,33,33,24,24,22,24\n9,Manufacturing,157,151,144,54,73,97\n10,Wholesale trade,53,56,60,52,49,45\n11,Retail trade,66,65,60,71,77,80\n12,Transportation and warehousing.,21,16,15,(Z),-2,12\n13,Information .,20,11,-18,-27,-20,-5\n14,Other nonfinancial 3,120,130,128,145,136,157\n15,Rest of the world,103,122,146,162,153,165\n` \\n\\nQuestion: `Report the top 2 Items having the highest values for Year 2002`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6\n0,Item,1998,1999,2000,2001,2002,2003\n1,Corporate profits with IVA/CCA 1. .,802,851,818,770,904,\"1,070\"\n2,Domestic industries,699,730,672,609,751,905\n3,Rest of the world .,103,122,146,162,153,165\n4,Corporate profits with IVA 1,739,777,759,706,743,844\n5,Domestic industries,636,655,614,544,589,679\n6,Financial 2,165,194,200,226,255,269\n7,Nonfinancial,470,461,413,319,334,410\n8,Utilities,33,33,24,24,22,24\n9,Manufacturing,157,151,144,54,73,97\n10,Wholesale trade,53,56,60,52,49,45\n11,Retail trade,66,65,60,71,77,80\n12,Transportation and warehousing.,21,16,15,(Z),-2,12\n13,Information .,20,11,-18,-27,-20,-5\n14,Other nonfinancial 3,120,130,128,145,136,157\n15,Rest of the world,103,122,146,162,153,165\n` \\n\\nQuestion: `Report the top 2 Items having the highest values for Year 2002`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
census--1--2426
|
./tables/csvs/census--1--2426.csv
|
./tables/images/census--1--2426.jpg
|
,0,1,2,3,4,5,6
0,Item,1998,1999,2000,2001,2002,2003
1,Corporate profits with IVA/CCA 1. .,802,851,818,770,904,"1,070"
2,Domestic industries,699,730,672,609,751,905
3,Rest of the world .,103,122,146,162,153,165
4,Corporate profits with IVA 1,739,777,759,706,743,844
5,Domestic industries,636,655,614,544,589,679
6,Financial 2,165,194,200,226,255,269
7,Nonfinancial,470,461,413,319,334,410
8,Utilities,33,33,24,24,22,24
9,Manufacturing,157,151,144,54,73,97
10,Wholesale trade,53,56,60,52,49,45
11,Retail trade,66,65,60,71,77,80
12,Transportation and warehousing.,21,16,15,(Z),-2,12
13,Information .,20,11,-18,-27,-20,-5
14,Other nonfinancial 3,120,130,128,145,136,157
15,Rest of the world,103,122,146,162,153,165
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": false, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": true, "Split Header Cell": false, "Row Group Label": false}
|
census--1--2426--M0
|
Which Item(s) has the same value under Year 2000 and Year 2001
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": true, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": true, "Row Filter Max Depth Of Involved Columns": "1", "Row Filter Retained Rows Single": true, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "1", "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": "1", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": "", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
{Utilities}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6\n0,Item,1998,1999,2000,2001,2002,2003\n1,Corporate profits with IVA/CCA 1. .,802,851,818,770,904,\"1,070\"\n2,Domestic industries,699,730,672,609,751,905\n3,Rest of the world .,103,122,146,162,153,165\n4,Corporate profits with IVA 1,739,777,759,706,743,844\n5,Domestic industries,636,655,614,544,589,679\n6,Financial 2,165,194,200,226,255,269\n7,Nonfinancial,470,461,413,319,334,410\n8,Utilities,33,33,24,24,22,24\n9,Manufacturing,157,151,144,54,73,97\n10,Wholesale trade,53,56,60,52,49,45\n11,Retail trade,66,65,60,71,77,80\n12,Transportation and warehousing.,21,16,15,(Z),-2,12\n13,Information .,20,11,-18,-27,-20,-5\n14,Other nonfinancial 3,120,130,128,145,136,157\n15,Rest of the world,103,122,146,162,153,165\n` \\n\\nQuestion: `Which Item(s) has the same value under Year 2000 and Year 2001`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6\n0,Item,1998,1999,2000,2001,2002,2003\n1,Corporate profits with IVA/CCA 1. .,802,851,818,770,904,\"1,070\"\n2,Domestic industries,699,730,672,609,751,905\n3,Rest of the world .,103,122,146,162,153,165\n4,Corporate profits with IVA 1,739,777,759,706,743,844\n5,Domestic industries,636,655,614,544,589,679\n6,Financial 2,165,194,200,226,255,269\n7,Nonfinancial,470,461,413,319,334,410\n8,Utilities,33,33,24,24,22,24\n9,Manufacturing,157,151,144,54,73,97\n10,Wholesale trade,53,56,60,52,49,45\n11,Retail trade,66,65,60,71,77,80\n12,Transportation and warehousing.,21,16,15,(Z),-2,12\n13,Information .,20,11,-18,-27,-20,-5\n14,Other nonfinancial 3,120,130,128,145,136,157\n15,Rest of the world,103,122,146,162,153,165\n` \\n\\nQuestion: `Which Item(s) has the same value under Year 2000 and Year 2001`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
psa--6--629
|
./tables/csvs/psa--6--629.csv
|
./tables/images/psa--6--629.jpg
|
,0,1,2,3,4,5,6,7,8,9,10,11
0,Country of Registration,Number & Tonnage,Type of Vessel,__,__,__,__,__,__,__,__,__
1,__,__,Total,Others,Passengers Vessels,Vehicles Vessels,Live Sheep,Loose Materials,Containers,Generals goods,Gas Tankers,Oil Tankers
2,QATAR,No. of Vessels,465,59,0,0,0,0,404,2,0,0
3,__,Gross Tonnage,5080683,103909,0,0,0,0,4976426,348,0,0
4,__,Net Tonnage,2569138,20195,0,0,0,0,2548839,104,0,0
5,BAHRAIN,No. of Vessels,4,3,0,0,0,1,0,0,0,0
6,__,Gross Tonnage,24207,1510,0,0,0,22697,0,0,0,0
7,__,Net Tonnage,13342,668,0,0,0,12674,0,0,0,0
8,SAUDI ARABIA,No. of Vessels,6,1,0,4,0,0,1,0,0,0
9,__,Gross Tonnage,213740,929,0,202856,0,0,9955,0,0,0
10,__,Net Tonnage,66734,929,0,60856,0,0,4949,0,0,0
11,OMAN,No. of Vessels,3,1,0,0,0,0,2,0,0,0
12,__,Gross Tonnage,4473,3475,0,0,0,0,998,0,0,0
13,__,Net Tonnage,1695,1043,0,0,0,0,652,0,0,0
14,KUWAIT,No. of Vessels,3,2,0,1,0,0,0,0,0,0
15,__,Gross Tonnage,132708,75016,0,57692,0,0,0,0,0,0
16,__,Net Tonnage,48449,27412,0,21037,0,0,0,0,0,0
17,ALGERIA,No. of Vessels,1,1,0,0,0,0,0,0,0,0
18,__,Gross Tonnage,5210,5210,0,0,0,0,0,0,0,0
19,__,Net Tonnage,1563,1563,0,0,0,0,0,0,0,0
20,COMOROS,No. of Vessels,7,0,0,1,0,0,4,2,0,0
21,__,Gross Tonnage,41576,0,0,20594,0,0,20024,958,0,0
22,__,Net Tonnage,14773,0,0,6178,0,0,8384,211,0,0
23,SOMALIA,No. of Vessels,1,0,0,0,0,0,1,0,0,0
24,__,Gross Tonnage,499,0,0,0,0,0,499,,0,0
25,__,Net Tonnage,326,0,0,0,0,0,326,,0,0
26,EGYPT,No. of Vessels,1,0,0,0,0,1,0,0,0,0
27,__,Gross Tonnage,33295,0,0,0,0,33295,0,0,0,0
28,__,Net Tonnage,19294,0,0,0,0,19294,0,0,0,0
29,INDONESIA,No. of Vessels,1,0,0,0,0,1,0,0,0,0
30,__,Gross Tonnage,19728,0,0,0,0,19728,0,0,0,0
31,__,Net Tonnage,10849,0,0,0,0,10849,0,0,0,0
32,IRAN,No. of Vessels,22,6,0,0,0,0,0,16,0,0
33,__,Gross Tonnage,15750,2517,0,0,0,0,0,13233,0,0
34,__,Net Tonnage,8630,1134,0,0,0,0,0,7496,0,0
35,PAKISTAN,No. of Vessels,3,3,0,0,0,0,0,0,0,0
36,__,Gross Tonnage,3990,3990,0,0,0,0,0,0,0,0
37,__,Net Tonnage,2676,2676,0,0,0,0,0,0,0,0
38,BRUNEI,No. of Vessels,1,0,0,0,0,1,0,0,0,0
39,__,Gross Tonnage,11176,0,0,0,0,11176,0,0,0,0
40,__,Net Tonnage,6784,0,0,0,0,6784,0,0,0,0
41,BANGLADESH,No. of Vessels,1,1,0,0,0,0,0,0,0,0
42,__,Gross Tonnage,1611,1611,0,0,0,0,0,0,0,0
43,__,Net Tonnage,1611,1611,0,0,0,0,0,0,0,0
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": true, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false, "Row Nesting": true}
|
psa--6--629--M0
|
Report the top 3 countries that have the highest number of vessels of type Container?
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "", "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "", "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": "2", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": "", "Rank": true, "Rank Rank On Plain": true, "Rank Rank On Expression": false, "Rank Report Top": "3"}
|
{Qatar | 404} || {Comoros | 4} || {Oman | 2}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10,11\n0,Country of Registration,Number & Tonnage,Type of Vessel,__,__,__,__,__,__,__,__,__\n1,__,__,Total,Others,Passengers Vessels,Vehicles Vessels,Live Sheep,Loose Materials,Containers,Generals goods,Gas Tankers,Oil Tankers\n2,QATAR,No. of Vessels,465,59,0,0,0,0,404,2,0,0\n3,__,Gross Tonnage,5080683,103909,0,0,0,0,4976426,348,0,0\n4,__,Net Tonnage,2569138,20195,0,0,0,0,2548839,104,0,0\n5,BAHRAIN,No. of Vessels,4,3,0,0,0,1,0,0,0,0\n6,__,Gross Tonnage,24207,1510,0,0,0,22697,0,0,0,0\n7,__,Net Tonnage,13342,668,0,0,0,12674,0,0,0,0\n8,SAUDI ARABIA,No. of Vessels,6,1,0,4,0,0,1,0,0,0\n9,__,Gross Tonnage,213740,929,0,202856,0,0,9955,0,0,0\n10,__,Net Tonnage,66734,929,0,60856,0,0,4949,0,0,0\n11,OMAN,No. of Vessels,3,1,0,0,0,0,2,0,0,0\n12,__,Gross Tonnage,4473,3475,0,0,0,0,998,0,0,0\n13,__,Net Tonnage,1695,1043,0,0,0,0,652,0,0,0\n14,KUWAIT,No. of Vessels,3,2,0,1,0,0,0,0,0,0\n15,__,Gross Tonnage,132708,75016,0,57692,0,0,0,0,0,0\n16,__,Net Tonnage,48449,27412,0,21037,0,0,0,0,0,0\n17,ALGERIA,No. of Vessels,1,1,0,0,0,0,0,0,0,0\n18,__,Gross Tonnage,5210,5210,0,0,0,0,0,0,0,0\n19,__,Net Tonnage,1563,1563,0,0,0,0,0,0,0,0\n20,COMOROS,No. of Vessels,7,0,0,1,0,0,4,2,0,0\n21,__,Gross Tonnage,41576,0,0,20594,0,0,20024,958,0,0\n22,__,Net Tonnage,14773,0,0,6178,0,0,8384,211,0,0\n23,SOMALIA,No. of Vessels,1,0,0,0,0,0,1,0,0,0\n24,__,Gross Tonnage,499,0,0,0,0,0,499,,0,0\n25,__,Net Tonnage,326,0,0,0,0,0,326,,0,0\n26,EGYPT,No. of Vessels,1,0,0,0,0,1,0,0,0,0\n27,__,Gross Tonnage,33295,0,0,0,0,33295,0,0,0,0\n28,__,Net Tonnage,19294,0,0,0,0,19294,0,0,0,0\n29,INDONESIA,No. of Vessels,1,0,0,0,0,1,0,0,0,0\n30,__,Gross Tonnage,19728,0,0,0,0,19728,0,0,0,0\n31,__,Net Tonnage,10849,0,0,0,0,10849,0,0,0,0\n32,IRAN,No. of Vessels,22,6,0,0,0,0,0,16,0,0\n33,__,Gross Tonnage,15750,2517,0,0,0,0,0,13233,0,0\n34,__,Net Tonnage,8630,1134,0,0,0,0,0,7496,0,0\n35,PAKISTAN,No. of Vessels,3,3,0,0,0,0,0,0,0,0\n36,__,Gross Tonnage,3990,3990,0,0,0,0,0,0,0,0\n37,__,Net Tonnage,2676,2676,0,0,0,0,0,0,0,0\n38,BRUNEI,No. of Vessels,1,0,0,0,0,1,0,0,0,0\n39,__,Gross Tonnage,11176,0,0,0,0,11176,0,0,0,0\n40,__,Net Tonnage,6784,0,0,0,0,6784,0,0,0,0\n41,BANGLADESH,No. of Vessels,1,1,0,0,0,0,0,0,0,0\n42,__,Gross Tonnage,1611,1611,0,0,0,0,0,0,0,0\n43,__,Net Tonnage,1611,1611,0,0,0,0,0,0,0,0\n` \\n\\nQuestion: `Report the top 3 countries that have the highest number of vessels of type Container?`\\n\\n # OUTPUT: \\nAnswer:"}]
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[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10,11\n0,Country of Registration,Number & Tonnage,Type of Vessel,__,__,__,__,__,__,__,__,__\n1,__,__,Total,Others,Passengers Vessels,Vehicles Vessels,Live Sheep,Loose Materials,Containers,Generals goods,Gas Tankers,Oil Tankers\n2,QATAR,No. of Vessels,465,59,0,0,0,0,404,2,0,0\n3,__,Gross Tonnage,5080683,103909,0,0,0,0,4976426,348,0,0\n4,__,Net Tonnage,2569138,20195,0,0,0,0,2548839,104,0,0\n5,BAHRAIN,No. of Vessels,4,3,0,0,0,1,0,0,0,0\n6,__,Gross Tonnage,24207,1510,0,0,0,22697,0,0,0,0\n7,__,Net Tonnage,13342,668,0,0,0,12674,0,0,0,0\n8,SAUDI ARABIA,No. of Vessels,6,1,0,4,0,0,1,0,0,0\n9,__,Gross Tonnage,213740,929,0,202856,0,0,9955,0,0,0\n10,__,Net Tonnage,66734,929,0,60856,0,0,4949,0,0,0\n11,OMAN,No. of Vessels,3,1,0,0,0,0,2,0,0,0\n12,__,Gross Tonnage,4473,3475,0,0,0,0,998,0,0,0\n13,__,Net Tonnage,1695,1043,0,0,0,0,652,0,0,0\n14,KUWAIT,No. of Vessels,3,2,0,1,0,0,0,0,0,0\n15,__,Gross Tonnage,132708,75016,0,57692,0,0,0,0,0,0\n16,__,Net Tonnage,48449,27412,0,21037,0,0,0,0,0,0\n17,ALGERIA,No. of Vessels,1,1,0,0,0,0,0,0,0,0\n18,__,Gross Tonnage,5210,5210,0,0,0,0,0,0,0,0\n19,__,Net Tonnage,1563,1563,0,0,0,0,0,0,0,0\n20,COMOROS,No. of Vessels,7,0,0,1,0,0,4,2,0,0\n21,__,Gross Tonnage,41576,0,0,20594,0,0,20024,958,0,0\n22,__,Net Tonnage,14773,0,0,6178,0,0,8384,211,0,0\n23,SOMALIA,No. of Vessels,1,0,0,0,0,0,1,0,0,0\n24,__,Gross Tonnage,499,0,0,0,0,0,499,,0,0\n25,__,Net Tonnage,326,0,0,0,0,0,326,,0,0\n26,EGYPT,No. of Vessels,1,0,0,0,0,1,0,0,0,0\n27,__,Gross Tonnage,33295,0,0,0,0,33295,0,0,0,0\n28,__,Net Tonnage,19294,0,0,0,0,19294,0,0,0,0\n29,INDONESIA,No. of Vessels,1,0,0,0,0,1,0,0,0,0\n30,__,Gross Tonnage,19728,0,0,0,0,19728,0,0,0,0\n31,__,Net Tonnage,10849,0,0,0,0,10849,0,0,0,0\n32,IRAN,No. of Vessels,22,6,0,0,0,0,0,16,0,0\n33,__,Gross Tonnage,15750,2517,0,0,0,0,0,13233,0,0\n34,__,Net Tonnage,8630,1134,0,0,0,0,0,7496,0,0\n35,PAKISTAN,No. of Vessels,3,3,0,0,0,0,0,0,0,0\n36,__,Gross Tonnage,3990,3990,0,0,0,0,0,0,0,0\n37,__,Net Tonnage,2676,2676,0,0,0,0,0,0,0,0\n38,BRUNEI,No. of Vessels,1,0,0,0,0,1,0,0,0,0\n39,__,Gross Tonnage,11176,0,0,0,0,11176,0,0,0,0\n40,__,Net Tonnage,6784,0,0,0,0,6784,0,0,0,0\n41,BANGLADESH,No. of Vessels,1,1,0,0,0,0,0,0,0,0\n42,__,Gross Tonnage,1611,1611,0,0,0,0,0,0,0,0\n43,__,Net Tonnage,1611,1611,0,0,0,0,0,0,0,0\n` \\n\\nQuestion: `Report the top 3 countries that have the highest number of vessels of type Container?`\\n\\n # OUTPUT: \\nAnswer:"}]
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realWorldHCTs
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|
psa--6--629
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./tables/csvs/psa--6--629.csv
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./tables/images/psa--6--629.jpg
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,0,1,2,3,4,5,6,7,8,9,10,11
0,Country of Registration,Number & Tonnage,Type of Vessel,__,__,__,__,__,__,__,__,__
1,__,__,Total,Others,Passengers Vessels,Vehicles Vessels,Live Sheep,Loose Materials,Containers,Generals goods,Gas Tankers,Oil Tankers
2,QATAR,No. of Vessels,465,59,0,0,0,0,404,2,0,0
3,__,Gross Tonnage,5080683,103909,0,0,0,0,4976426,348,0,0
4,__,Net Tonnage,2569138,20195,0,0,0,0,2548839,104,0,0
5,BAHRAIN,No. of Vessels,4,3,0,0,0,1,0,0,0,0
6,__,Gross Tonnage,24207,1510,0,0,0,22697,0,0,0,0
7,__,Net Tonnage,13342,668,0,0,0,12674,0,0,0,0
8,SAUDI ARABIA,No. of Vessels,6,1,0,4,0,0,1,0,0,0
9,__,Gross Tonnage,213740,929,0,202856,0,0,9955,0,0,0
10,__,Net Tonnage,66734,929,0,60856,0,0,4949,0,0,0
11,OMAN,No. of Vessels,3,1,0,0,0,0,2,0,0,0
12,__,Gross Tonnage,4473,3475,0,0,0,0,998,0,0,0
13,__,Net Tonnage,1695,1043,0,0,0,0,652,0,0,0
14,KUWAIT,No. of Vessels,3,2,0,1,0,0,0,0,0,0
15,__,Gross Tonnage,132708,75016,0,57692,0,0,0,0,0,0
16,__,Net Tonnage,48449,27412,0,21037,0,0,0,0,0,0
17,ALGERIA,No. of Vessels,1,1,0,0,0,0,0,0,0,0
18,__,Gross Tonnage,5210,5210,0,0,0,0,0,0,0,0
19,__,Net Tonnage,1563,1563,0,0,0,0,0,0,0,0
20,COMOROS,No. of Vessels,7,0,0,1,0,0,4,2,0,0
21,__,Gross Tonnage,41576,0,0,20594,0,0,20024,958,0,0
22,__,Net Tonnage,14773,0,0,6178,0,0,8384,211,0,0
23,SOMALIA,No. of Vessels,1,0,0,0,0,0,1,0,0,0
24,__,Gross Tonnage,499,0,0,0,0,0,499,,0,0
25,__,Net Tonnage,326,0,0,0,0,0,326,,0,0
26,EGYPT,No. of Vessels,1,0,0,0,0,1,0,0,0,0
27,__,Gross Tonnage,33295,0,0,0,0,33295,0,0,0,0
28,__,Net Tonnage,19294,0,0,0,0,19294,0,0,0,0
29,INDONESIA,No. of Vessels,1,0,0,0,0,1,0,0,0,0
30,__,Gross Tonnage,19728,0,0,0,0,19728,0,0,0,0
31,__,Net Tonnage,10849,0,0,0,0,10849,0,0,0,0
32,IRAN,No. of Vessels,22,6,0,0,0,0,0,16,0,0
33,__,Gross Tonnage,15750,2517,0,0,0,0,0,13233,0,0
34,__,Net Tonnage,8630,1134,0,0,0,0,0,7496,0,0
35,PAKISTAN,No. of Vessels,3,3,0,0,0,0,0,0,0,0
36,__,Gross Tonnage,3990,3990,0,0,0,0,0,0,0,0
37,__,Net Tonnage,2676,2676,0,0,0,0,0,0,0,0
38,BRUNEI,No. of Vessels,1,0,0,0,0,1,0,0,0,0
39,__,Gross Tonnage,11176,0,0,0,0,11176,0,0,0,0
40,__,Net Tonnage,6784,0,0,0,0,6784,0,0,0,0
41,BANGLADESH,No. of Vessels,1,1,0,0,0,0,0,0,0,0
42,__,Gross Tonnage,1611,1611,0,0,0,0,0,0,0,0
43,__,Net Tonnage,1611,1611,0,0,0,0,0,0,0,0
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": true, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false, "Row Nesting": true}
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psa--6--629--A3
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What is the maximum number of vessels and the minimum net tonnage recorded for any country of registration?
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": false, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": false, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": 2, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": true, "Aggregation Aggregation On Plain": true, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": true, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": true, "Aggregation Num Of Aggregations": 2, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{465} || {326}
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[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10,11\n0,Country of Registration,Number & Tonnage,Type of Vessel,__,__,__,__,__,__,__,__,__\n1,__,__,Total,Others,Passengers Vessels,Vehicles Vessels,Live Sheep,Loose Materials,Containers,Generals goods,Gas Tankers,Oil Tankers\n2,QATAR,No. of Vessels,465,59,0,0,0,0,404,2,0,0\n3,__,Gross Tonnage,5080683,103909,0,0,0,0,4976426,348,0,0\n4,__,Net Tonnage,2569138,20195,0,0,0,0,2548839,104,0,0\n5,BAHRAIN,No. of Vessels,4,3,0,0,0,1,0,0,0,0\n6,__,Gross Tonnage,24207,1510,0,0,0,22697,0,0,0,0\n7,__,Net Tonnage,13342,668,0,0,0,12674,0,0,0,0\n8,SAUDI ARABIA,No. of Vessels,6,1,0,4,0,0,1,0,0,0\n9,__,Gross Tonnage,213740,929,0,202856,0,0,9955,0,0,0\n10,__,Net Tonnage,66734,929,0,60856,0,0,4949,0,0,0\n11,OMAN,No. of Vessels,3,1,0,0,0,0,2,0,0,0\n12,__,Gross Tonnage,4473,3475,0,0,0,0,998,0,0,0\n13,__,Net Tonnage,1695,1043,0,0,0,0,652,0,0,0\n14,KUWAIT,No. of Vessels,3,2,0,1,0,0,0,0,0,0\n15,__,Gross Tonnage,132708,75016,0,57692,0,0,0,0,0,0\n16,__,Net Tonnage,48449,27412,0,21037,0,0,0,0,0,0\n17,ALGERIA,No. of Vessels,1,1,0,0,0,0,0,0,0,0\n18,__,Gross Tonnage,5210,5210,0,0,0,0,0,0,0,0\n19,__,Net Tonnage,1563,1563,0,0,0,0,0,0,0,0\n20,COMOROS,No. of Vessels,7,0,0,1,0,0,4,2,0,0\n21,__,Gross Tonnage,41576,0,0,20594,0,0,20024,958,0,0\n22,__,Net Tonnage,14773,0,0,6178,0,0,8384,211,0,0\n23,SOMALIA,No. of Vessels,1,0,0,0,0,0,1,0,0,0\n24,__,Gross Tonnage,499,0,0,0,0,0,499,,0,0\n25,__,Net Tonnage,326,0,0,0,0,0,326,,0,0\n26,EGYPT,No. of Vessels,1,0,0,0,0,1,0,0,0,0\n27,__,Gross Tonnage,33295,0,0,0,0,33295,0,0,0,0\n28,__,Net Tonnage,19294,0,0,0,0,19294,0,0,0,0\n29,INDONESIA,No. of Vessels,1,0,0,0,0,1,0,0,0,0\n30,__,Gross Tonnage,19728,0,0,0,0,19728,0,0,0,0\n31,__,Net Tonnage,10849,0,0,0,0,10849,0,0,0,0\n32,IRAN,No. of Vessels,22,6,0,0,0,0,0,16,0,0\n33,__,Gross Tonnage,15750,2517,0,0,0,0,0,13233,0,0\n34,__,Net Tonnage,8630,1134,0,0,0,0,0,7496,0,0\n35,PAKISTAN,No. of Vessels,3,3,0,0,0,0,0,0,0,0\n36,__,Gross Tonnage,3990,3990,0,0,0,0,0,0,0,0\n37,__,Net Tonnage,2676,2676,0,0,0,0,0,0,0,0\n38,BRUNEI,No. of Vessels,1,0,0,0,0,1,0,0,0,0\n39,__,Gross Tonnage,11176,0,0,0,0,11176,0,0,0,0\n40,__,Net Tonnage,6784,0,0,0,0,6784,0,0,0,0\n41,BANGLADESH,No. of Vessels,1,1,0,0,0,0,0,0,0,0\n42,__,Gross Tonnage,1611,1611,0,0,0,0,0,0,0,0\n43,__,Net Tonnage,1611,1611,0,0,0,0,0,0,0,0\n` \\n\\nQuestion: `What is the maximum number of vessels and the minimum net tonnage recorded for any country of registration?`\\n\\n # OUTPUT: \\nAnswer:"}]
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[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10,11\n0,Country of Registration,Number & Tonnage,Type of Vessel,__,__,__,__,__,__,__,__,__\n1,__,__,Total,Others,Passengers Vessels,Vehicles Vessels,Live Sheep,Loose Materials,Containers,Generals goods,Gas Tankers,Oil Tankers\n2,QATAR,No. of Vessels,465,59,0,0,0,0,404,2,0,0\n3,__,Gross Tonnage,5080683,103909,0,0,0,0,4976426,348,0,0\n4,__,Net Tonnage,2569138,20195,0,0,0,0,2548839,104,0,0\n5,BAHRAIN,No. of Vessels,4,3,0,0,0,1,0,0,0,0\n6,__,Gross Tonnage,24207,1510,0,0,0,22697,0,0,0,0\n7,__,Net Tonnage,13342,668,0,0,0,12674,0,0,0,0\n8,SAUDI ARABIA,No. of Vessels,6,1,0,4,0,0,1,0,0,0\n9,__,Gross Tonnage,213740,929,0,202856,0,0,9955,0,0,0\n10,__,Net Tonnage,66734,929,0,60856,0,0,4949,0,0,0\n11,OMAN,No. of Vessels,3,1,0,0,0,0,2,0,0,0\n12,__,Gross Tonnage,4473,3475,0,0,0,0,998,0,0,0\n13,__,Net Tonnage,1695,1043,0,0,0,0,652,0,0,0\n14,KUWAIT,No. of Vessels,3,2,0,1,0,0,0,0,0,0\n15,__,Gross Tonnage,132708,75016,0,57692,0,0,0,0,0,0\n16,__,Net Tonnage,48449,27412,0,21037,0,0,0,0,0,0\n17,ALGERIA,No. of Vessels,1,1,0,0,0,0,0,0,0,0\n18,__,Gross Tonnage,5210,5210,0,0,0,0,0,0,0,0\n19,__,Net Tonnage,1563,1563,0,0,0,0,0,0,0,0\n20,COMOROS,No. of Vessels,7,0,0,1,0,0,4,2,0,0\n21,__,Gross Tonnage,41576,0,0,20594,0,0,20024,958,0,0\n22,__,Net Tonnage,14773,0,0,6178,0,0,8384,211,0,0\n23,SOMALIA,No. of Vessels,1,0,0,0,0,0,1,0,0,0\n24,__,Gross Tonnage,499,0,0,0,0,0,499,,0,0\n25,__,Net Tonnage,326,0,0,0,0,0,326,,0,0\n26,EGYPT,No. of Vessels,1,0,0,0,0,1,0,0,0,0\n27,__,Gross Tonnage,33295,0,0,0,0,33295,0,0,0,0\n28,__,Net Tonnage,19294,0,0,0,0,19294,0,0,0,0\n29,INDONESIA,No. of Vessels,1,0,0,0,0,1,0,0,0,0\n30,__,Gross Tonnage,19728,0,0,0,0,19728,0,0,0,0\n31,__,Net Tonnage,10849,0,0,0,0,10849,0,0,0,0\n32,IRAN,No. of Vessels,22,6,0,0,0,0,0,16,0,0\n33,__,Gross Tonnage,15750,2517,0,0,0,0,0,13233,0,0\n34,__,Net Tonnage,8630,1134,0,0,0,0,0,7496,0,0\n35,PAKISTAN,No. of Vessels,3,3,0,0,0,0,0,0,0,0\n36,__,Gross Tonnage,3990,3990,0,0,0,0,0,0,0,0\n37,__,Net Tonnage,2676,2676,0,0,0,0,0,0,0,0\n38,BRUNEI,No. of Vessels,1,0,0,0,0,1,0,0,0,0\n39,__,Gross Tonnage,11176,0,0,0,0,11176,0,0,0,0\n40,__,Net Tonnage,6784,0,0,0,0,6784,0,0,0,0\n41,BANGLADESH,No. of Vessels,1,1,0,0,0,0,0,0,0,0\n42,__,Gross Tonnage,1611,1611,0,0,0,0,0,0,0,0\n43,__,Net Tonnage,1611,1611,0,0,0,0,0,0,0,0\n` \\n\\nQuestion: `What is the maximum number of vessels and the minimum net tonnage recorded for any country of registration?`\\n\\n # OUTPUT: \\nAnswer:"}]
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realWorldHCTs
|
|
psa--6--629
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./tables/csvs/psa--6--629.csv
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./tables/images/psa--6--629.jpg
|
,0,1,2,3,4,5,6,7,8,9,10,11
0,Country of Registration,Number & Tonnage,Type of Vessel,__,__,__,__,__,__,__,__,__
1,__,__,Total,Others,Passengers Vessels,Vehicles Vessels,Live Sheep,Loose Materials,Containers,Generals goods,Gas Tankers,Oil Tankers
2,QATAR,No. of Vessels,465,59,0,0,0,0,404,2,0,0
3,__,Gross Tonnage,5080683,103909,0,0,0,0,4976426,348,0,0
4,__,Net Tonnage,2569138,20195,0,0,0,0,2548839,104,0,0
5,BAHRAIN,No. of Vessels,4,3,0,0,0,1,0,0,0,0
6,__,Gross Tonnage,24207,1510,0,0,0,22697,0,0,0,0
7,__,Net Tonnage,13342,668,0,0,0,12674,0,0,0,0
8,SAUDI ARABIA,No. of Vessels,6,1,0,4,0,0,1,0,0,0
9,__,Gross Tonnage,213740,929,0,202856,0,0,9955,0,0,0
10,__,Net Tonnage,66734,929,0,60856,0,0,4949,0,0,0
11,OMAN,No. of Vessels,3,1,0,0,0,0,2,0,0,0
12,__,Gross Tonnage,4473,3475,0,0,0,0,998,0,0,0
13,__,Net Tonnage,1695,1043,0,0,0,0,652,0,0,0
14,KUWAIT,No. of Vessels,3,2,0,1,0,0,0,0,0,0
15,__,Gross Tonnage,132708,75016,0,57692,0,0,0,0,0,0
16,__,Net Tonnage,48449,27412,0,21037,0,0,0,0,0,0
17,ALGERIA,No. of Vessels,1,1,0,0,0,0,0,0,0,0
18,__,Gross Tonnage,5210,5210,0,0,0,0,0,0,0,0
19,__,Net Tonnage,1563,1563,0,0,0,0,0,0,0,0
20,COMOROS,No. of Vessels,7,0,0,1,0,0,4,2,0,0
21,__,Gross Tonnage,41576,0,0,20594,0,0,20024,958,0,0
22,__,Net Tonnage,14773,0,0,6178,0,0,8384,211,0,0
23,SOMALIA,No. of Vessels,1,0,0,0,0,0,1,0,0,0
24,__,Gross Tonnage,499,0,0,0,0,0,499,,0,0
25,__,Net Tonnage,326,0,0,0,0,0,326,,0,0
26,EGYPT,No. of Vessels,1,0,0,0,0,1,0,0,0,0
27,__,Gross Tonnage,33295,0,0,0,0,33295,0,0,0,0
28,__,Net Tonnage,19294,0,0,0,0,19294,0,0,0,0
29,INDONESIA,No. of Vessels,1,0,0,0,0,1,0,0,0,0
30,__,Gross Tonnage,19728,0,0,0,0,19728,0,0,0,0
31,__,Net Tonnage,10849,0,0,0,0,10849,0,0,0,0
32,IRAN,No. of Vessels,22,6,0,0,0,0,0,16,0,0
33,__,Gross Tonnage,15750,2517,0,0,0,0,0,13233,0,0
34,__,Net Tonnage,8630,1134,0,0,0,0,0,7496,0,0
35,PAKISTAN,No. of Vessels,3,3,0,0,0,0,0,0,0,0
36,__,Gross Tonnage,3990,3990,0,0,0,0,0,0,0,0
37,__,Net Tonnage,2676,2676,0,0,0,0,0,0,0,0
38,BRUNEI,No. of Vessels,1,0,0,0,0,1,0,0,0,0
39,__,Gross Tonnage,11176,0,0,0,0,11176,0,0,0,0
40,__,Net Tonnage,6784,0,0,0,0,6784,0,0,0,0
41,BANGLADESH,No. of Vessels,1,1,0,0,0,0,0,0,0,0
42,__,Gross Tonnage,1611,1611,0,0,0,0,0,0,0,0
43,__,Net Tonnage,1611,1611,0,0,0,0,0,0,0,0
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": true, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false, "Row Nesting": true}
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psa--6--629--A4
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What was the Gross Tonnage and Net Tonnage for vessels registered in Bahrain and Oman?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": true, "Row Filter Num Of Conditions": 1, "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": 2, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{24207} || {13342} || {4473} || {1695}
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[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10,11\n0,Country of Registration,Number & Tonnage,Type of Vessel,__,__,__,__,__,__,__,__,__\n1,__,__,Total,Others,Passengers Vessels,Vehicles Vessels,Live Sheep,Loose Materials,Containers,Generals goods,Gas Tankers,Oil Tankers\n2,QATAR,No. of Vessels,465,59,0,0,0,0,404,2,0,0\n3,__,Gross Tonnage,5080683,103909,0,0,0,0,4976426,348,0,0\n4,__,Net Tonnage,2569138,20195,0,0,0,0,2548839,104,0,0\n5,BAHRAIN,No. of Vessels,4,3,0,0,0,1,0,0,0,0\n6,__,Gross Tonnage,24207,1510,0,0,0,22697,0,0,0,0\n7,__,Net Tonnage,13342,668,0,0,0,12674,0,0,0,0\n8,SAUDI ARABIA,No. of Vessels,6,1,0,4,0,0,1,0,0,0\n9,__,Gross Tonnage,213740,929,0,202856,0,0,9955,0,0,0\n10,__,Net Tonnage,66734,929,0,60856,0,0,4949,0,0,0\n11,OMAN,No. of Vessels,3,1,0,0,0,0,2,0,0,0\n12,__,Gross Tonnage,4473,3475,0,0,0,0,998,0,0,0\n13,__,Net Tonnage,1695,1043,0,0,0,0,652,0,0,0\n14,KUWAIT,No. of Vessels,3,2,0,1,0,0,0,0,0,0\n15,__,Gross Tonnage,132708,75016,0,57692,0,0,0,0,0,0\n16,__,Net Tonnage,48449,27412,0,21037,0,0,0,0,0,0\n17,ALGERIA,No. of Vessels,1,1,0,0,0,0,0,0,0,0\n18,__,Gross Tonnage,5210,5210,0,0,0,0,0,0,0,0\n19,__,Net Tonnage,1563,1563,0,0,0,0,0,0,0,0\n20,COMOROS,No. of Vessels,7,0,0,1,0,0,4,2,0,0\n21,__,Gross Tonnage,41576,0,0,20594,0,0,20024,958,0,0\n22,__,Net Tonnage,14773,0,0,6178,0,0,8384,211,0,0\n23,SOMALIA,No. of Vessels,1,0,0,0,0,0,1,0,0,0\n24,__,Gross Tonnage,499,0,0,0,0,0,499,,0,0\n25,__,Net Tonnage,326,0,0,0,0,0,326,,0,0\n26,EGYPT,No. of Vessels,1,0,0,0,0,1,0,0,0,0\n27,__,Gross Tonnage,33295,0,0,0,0,33295,0,0,0,0\n28,__,Net Tonnage,19294,0,0,0,0,19294,0,0,0,0\n29,INDONESIA,No. of Vessels,1,0,0,0,0,1,0,0,0,0\n30,__,Gross Tonnage,19728,0,0,0,0,19728,0,0,0,0\n31,__,Net Tonnage,10849,0,0,0,0,10849,0,0,0,0\n32,IRAN,No. of Vessels,22,6,0,0,0,0,0,16,0,0\n33,__,Gross Tonnage,15750,2517,0,0,0,0,0,13233,0,0\n34,__,Net Tonnage,8630,1134,0,0,0,0,0,7496,0,0\n35,PAKISTAN,No. of Vessels,3,3,0,0,0,0,0,0,0,0\n36,__,Gross Tonnage,3990,3990,0,0,0,0,0,0,0,0\n37,__,Net Tonnage,2676,2676,0,0,0,0,0,0,0,0\n38,BRUNEI,No. of Vessels,1,0,0,0,0,1,0,0,0,0\n39,__,Gross Tonnage,11176,0,0,0,0,11176,0,0,0,0\n40,__,Net Tonnage,6784,0,0,0,0,6784,0,0,0,0\n41,BANGLADESH,No. of Vessels,1,1,0,0,0,0,0,0,0,0\n42,__,Gross Tonnage,1611,1611,0,0,0,0,0,0,0,0\n43,__,Net Tonnage,1611,1611,0,0,0,0,0,0,0,0\n` \\n\\nQuestion: `What was the Gross Tonnage and Net Tonnage for vessels registered in Bahrain and Oman?`\\n\\n # OUTPUT: \\nAnswer:"}]
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[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10,11\n0,Country of Registration,Number & Tonnage,Type of Vessel,__,__,__,__,__,__,__,__,__\n1,__,__,Total,Others,Passengers Vessels,Vehicles Vessels,Live Sheep,Loose Materials,Containers,Generals goods,Gas Tankers,Oil Tankers\n2,QATAR,No. of Vessels,465,59,0,0,0,0,404,2,0,0\n3,__,Gross Tonnage,5080683,103909,0,0,0,0,4976426,348,0,0\n4,__,Net Tonnage,2569138,20195,0,0,0,0,2548839,104,0,0\n5,BAHRAIN,No. of Vessels,4,3,0,0,0,1,0,0,0,0\n6,__,Gross Tonnage,24207,1510,0,0,0,22697,0,0,0,0\n7,__,Net Tonnage,13342,668,0,0,0,12674,0,0,0,0\n8,SAUDI ARABIA,No. of Vessels,6,1,0,4,0,0,1,0,0,0\n9,__,Gross Tonnage,213740,929,0,202856,0,0,9955,0,0,0\n10,__,Net Tonnage,66734,929,0,60856,0,0,4949,0,0,0\n11,OMAN,No. of Vessels,3,1,0,0,0,0,2,0,0,0\n12,__,Gross Tonnage,4473,3475,0,0,0,0,998,0,0,0\n13,__,Net Tonnage,1695,1043,0,0,0,0,652,0,0,0\n14,KUWAIT,No. of Vessels,3,2,0,1,0,0,0,0,0,0\n15,__,Gross Tonnage,132708,75016,0,57692,0,0,0,0,0,0\n16,__,Net Tonnage,48449,27412,0,21037,0,0,0,0,0,0\n17,ALGERIA,No. of Vessels,1,1,0,0,0,0,0,0,0,0\n18,__,Gross Tonnage,5210,5210,0,0,0,0,0,0,0,0\n19,__,Net Tonnage,1563,1563,0,0,0,0,0,0,0,0\n20,COMOROS,No. of Vessels,7,0,0,1,0,0,4,2,0,0\n21,__,Gross Tonnage,41576,0,0,20594,0,0,20024,958,0,0\n22,__,Net Tonnage,14773,0,0,6178,0,0,8384,211,0,0\n23,SOMALIA,No. of Vessels,1,0,0,0,0,0,1,0,0,0\n24,__,Gross Tonnage,499,0,0,0,0,0,499,,0,0\n25,__,Net Tonnage,326,0,0,0,0,0,326,,0,0\n26,EGYPT,No. of Vessels,1,0,0,0,0,1,0,0,0,0\n27,__,Gross Tonnage,33295,0,0,0,0,33295,0,0,0,0\n28,__,Net Tonnage,19294,0,0,0,0,19294,0,0,0,0\n29,INDONESIA,No. of Vessels,1,0,0,0,0,1,0,0,0,0\n30,__,Gross Tonnage,19728,0,0,0,0,19728,0,0,0,0\n31,__,Net Tonnage,10849,0,0,0,0,10849,0,0,0,0\n32,IRAN,No. of Vessels,22,6,0,0,0,0,0,16,0,0\n33,__,Gross Tonnage,15750,2517,0,0,0,0,0,13233,0,0\n34,__,Net Tonnage,8630,1134,0,0,0,0,0,7496,0,0\n35,PAKISTAN,No. of Vessels,3,3,0,0,0,0,0,0,0,0\n36,__,Gross Tonnage,3990,3990,0,0,0,0,0,0,0,0\n37,__,Net Tonnage,2676,2676,0,0,0,0,0,0,0,0\n38,BRUNEI,No. of Vessels,1,0,0,0,0,1,0,0,0,0\n39,__,Gross Tonnage,11176,0,0,0,0,11176,0,0,0,0\n40,__,Net Tonnage,6784,0,0,0,0,6784,0,0,0,0\n41,BANGLADESH,No. of Vessels,1,1,0,0,0,0,0,0,0,0\n42,__,Gross Tonnage,1611,1611,0,0,0,0,0,0,0,0\n43,__,Net Tonnage,1611,1611,0,0,0,0,0,0,0,0\n` \\n\\nQuestion: `What was the Gross Tonnage and Net Tonnage for vessels registered in Bahrain and Oman?`\\n\\n # OUTPUT: \\nAnswer:"}]
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realWorldHCTs
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|
psa--6--629
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./tables/csvs/psa--6--629.csv
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./tables/images/psa--6--629.jpg
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,0,1,2,3,4,5,6,7,8,9,10,11
0,Country of Registration,Number & Tonnage,Type of Vessel,__,__,__,__,__,__,__,__,__
1,__,__,Total,Others,Passengers Vessels,Vehicles Vessels,Live Sheep,Loose Materials,Containers,Generals goods,Gas Tankers,Oil Tankers
2,QATAR,No. of Vessels,465,59,0,0,0,0,404,2,0,0
3,__,Gross Tonnage,5080683,103909,0,0,0,0,4976426,348,0,0
4,__,Net Tonnage,2569138,20195,0,0,0,0,2548839,104,0,0
5,BAHRAIN,No. of Vessels,4,3,0,0,0,1,0,0,0,0
6,__,Gross Tonnage,24207,1510,0,0,0,22697,0,0,0,0
7,__,Net Tonnage,13342,668,0,0,0,12674,0,0,0,0
8,SAUDI ARABIA,No. of Vessels,6,1,0,4,0,0,1,0,0,0
9,__,Gross Tonnage,213740,929,0,202856,0,0,9955,0,0,0
10,__,Net Tonnage,66734,929,0,60856,0,0,4949,0,0,0
11,OMAN,No. of Vessels,3,1,0,0,0,0,2,0,0,0
12,__,Gross Tonnage,4473,3475,0,0,0,0,998,0,0,0
13,__,Net Tonnage,1695,1043,0,0,0,0,652,0,0,0
14,KUWAIT,No. of Vessels,3,2,0,1,0,0,0,0,0,0
15,__,Gross Tonnage,132708,75016,0,57692,0,0,0,0,0,0
16,__,Net Tonnage,48449,27412,0,21037,0,0,0,0,0,0
17,ALGERIA,No. of Vessels,1,1,0,0,0,0,0,0,0,0
18,__,Gross Tonnage,5210,5210,0,0,0,0,0,0,0,0
19,__,Net Tonnage,1563,1563,0,0,0,0,0,0,0,0
20,COMOROS,No. of Vessels,7,0,0,1,0,0,4,2,0,0
21,__,Gross Tonnage,41576,0,0,20594,0,0,20024,958,0,0
22,__,Net Tonnage,14773,0,0,6178,0,0,8384,211,0,0
23,SOMALIA,No. of Vessels,1,0,0,0,0,0,1,0,0,0
24,__,Gross Tonnage,499,0,0,0,0,0,499,,0,0
25,__,Net Tonnage,326,0,0,0,0,0,326,,0,0
26,EGYPT,No. of Vessels,1,0,0,0,0,1,0,0,0,0
27,__,Gross Tonnage,33295,0,0,0,0,33295,0,0,0,0
28,__,Net Tonnage,19294,0,0,0,0,19294,0,0,0,0
29,INDONESIA,No. of Vessels,1,0,0,0,0,1,0,0,0,0
30,__,Gross Tonnage,19728,0,0,0,0,19728,0,0,0,0
31,__,Net Tonnage,10849,0,0,0,0,10849,0,0,0,0
32,IRAN,No. of Vessels,22,6,0,0,0,0,0,16,0,0
33,__,Gross Tonnage,15750,2517,0,0,0,0,0,13233,0,0
34,__,Net Tonnage,8630,1134,0,0,0,0,0,7496,0,0
35,PAKISTAN,No. of Vessels,3,3,0,0,0,0,0,0,0,0
36,__,Gross Tonnage,3990,3990,0,0,0,0,0,0,0,0
37,__,Net Tonnage,2676,2676,0,0,0,0,0,0,0,0
38,BRUNEI,No. of Vessels,1,0,0,0,0,1,0,0,0,0
39,__,Gross Tonnage,11176,0,0,0,0,11176,0,0,0,0
40,__,Net Tonnage,6784,0,0,0,0,6784,0,0,0,0
41,BANGLADESH,No. of Vessels,1,1,0,0,0,0,0,0,0,0
42,__,Gross Tonnage,1611,1611,0,0,0,0,0,0,0,0
43,__,Net Tonnage,1611,1611,0,0,0,0,0,0,0,0
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{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": true, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false, "Row Nesting": true}
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psa--6--629--A0
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Does Oman have a higher number of vessels compared to Bahrain?
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": false, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": false, "Returned Columns": false, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": false, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": false, "Yes/No": true, "Yes/No Scope Single": false, "Yes/No Scope Multiple": true, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
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No
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[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10,11\n0,Country of Registration,Number & Tonnage,Type of Vessel,__,__,__,__,__,__,__,__,__\n1,__,__,Total,Others,Passengers Vessels,Vehicles Vessels,Live Sheep,Loose Materials,Containers,Generals goods,Gas Tankers,Oil Tankers\n2,QATAR,No. of Vessels,465,59,0,0,0,0,404,2,0,0\n3,__,Gross Tonnage,5080683,103909,0,0,0,0,4976426,348,0,0\n4,__,Net Tonnage,2569138,20195,0,0,0,0,2548839,104,0,0\n5,BAHRAIN,No. of Vessels,4,3,0,0,0,1,0,0,0,0\n6,__,Gross Tonnage,24207,1510,0,0,0,22697,0,0,0,0\n7,__,Net Tonnage,13342,668,0,0,0,12674,0,0,0,0\n8,SAUDI ARABIA,No. of Vessels,6,1,0,4,0,0,1,0,0,0\n9,__,Gross Tonnage,213740,929,0,202856,0,0,9955,0,0,0\n10,__,Net Tonnage,66734,929,0,60856,0,0,4949,0,0,0\n11,OMAN,No. of Vessels,3,1,0,0,0,0,2,0,0,0\n12,__,Gross Tonnage,4473,3475,0,0,0,0,998,0,0,0\n13,__,Net Tonnage,1695,1043,0,0,0,0,652,0,0,0\n14,KUWAIT,No. of Vessels,3,2,0,1,0,0,0,0,0,0\n15,__,Gross Tonnage,132708,75016,0,57692,0,0,0,0,0,0\n16,__,Net Tonnage,48449,27412,0,21037,0,0,0,0,0,0\n17,ALGERIA,No. of Vessels,1,1,0,0,0,0,0,0,0,0\n18,__,Gross Tonnage,5210,5210,0,0,0,0,0,0,0,0\n19,__,Net Tonnage,1563,1563,0,0,0,0,0,0,0,0\n20,COMOROS,No. of Vessels,7,0,0,1,0,0,4,2,0,0\n21,__,Gross Tonnage,41576,0,0,20594,0,0,20024,958,0,0\n22,__,Net Tonnage,14773,0,0,6178,0,0,8384,211,0,0\n23,SOMALIA,No. of Vessels,1,0,0,0,0,0,1,0,0,0\n24,__,Gross Tonnage,499,0,0,0,0,0,499,,0,0\n25,__,Net Tonnage,326,0,0,0,0,0,326,,0,0\n26,EGYPT,No. of Vessels,1,0,0,0,0,1,0,0,0,0\n27,__,Gross Tonnage,33295,0,0,0,0,33295,0,0,0,0\n28,__,Net Tonnage,19294,0,0,0,0,19294,0,0,0,0\n29,INDONESIA,No. of Vessels,1,0,0,0,0,1,0,0,0,0\n30,__,Gross Tonnage,19728,0,0,0,0,19728,0,0,0,0\n31,__,Net Tonnage,10849,0,0,0,0,10849,0,0,0,0\n32,IRAN,No. of Vessels,22,6,0,0,0,0,0,16,0,0\n33,__,Gross Tonnage,15750,2517,0,0,0,0,0,13233,0,0\n34,__,Net Tonnage,8630,1134,0,0,0,0,0,7496,0,0\n35,PAKISTAN,No. of Vessels,3,3,0,0,0,0,0,0,0,0\n36,__,Gross Tonnage,3990,3990,0,0,0,0,0,0,0,0\n37,__,Net Tonnage,2676,2676,0,0,0,0,0,0,0,0\n38,BRUNEI,No. of Vessels,1,0,0,0,0,1,0,0,0,0\n39,__,Gross Tonnage,11176,0,0,0,0,11176,0,0,0,0\n40,__,Net Tonnage,6784,0,0,0,0,6784,0,0,0,0\n41,BANGLADESH,No. of Vessels,1,1,0,0,0,0,0,0,0,0\n42,__,Gross Tonnage,1611,1611,0,0,0,0,0,0,0,0\n43,__,Net Tonnage,1611,1611,0,0,0,0,0,0,0,0\n` \\n\\nQuestion: `Does Oman have a higher number of vessels compared to Bahrain?`\\n\\n # OUTPUT: \\nAnswer:"}]
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[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10,11\n0,Country of Registration,Number & Tonnage,Type of Vessel,__,__,__,__,__,__,__,__,__\n1,__,__,Total,Others,Passengers Vessels,Vehicles Vessels,Live Sheep,Loose Materials,Containers,Generals goods,Gas Tankers,Oil Tankers\n2,QATAR,No. of Vessels,465,59,0,0,0,0,404,2,0,0\n3,__,Gross Tonnage,5080683,103909,0,0,0,0,4976426,348,0,0\n4,__,Net Tonnage,2569138,20195,0,0,0,0,2548839,104,0,0\n5,BAHRAIN,No. of Vessels,4,3,0,0,0,1,0,0,0,0\n6,__,Gross Tonnage,24207,1510,0,0,0,22697,0,0,0,0\n7,__,Net Tonnage,13342,668,0,0,0,12674,0,0,0,0\n8,SAUDI ARABIA,No. of Vessels,6,1,0,4,0,0,1,0,0,0\n9,__,Gross Tonnage,213740,929,0,202856,0,0,9955,0,0,0\n10,__,Net Tonnage,66734,929,0,60856,0,0,4949,0,0,0\n11,OMAN,No. of Vessels,3,1,0,0,0,0,2,0,0,0\n12,__,Gross Tonnage,4473,3475,0,0,0,0,998,0,0,0\n13,__,Net Tonnage,1695,1043,0,0,0,0,652,0,0,0\n14,KUWAIT,No. of Vessels,3,2,0,1,0,0,0,0,0,0\n15,__,Gross Tonnage,132708,75016,0,57692,0,0,0,0,0,0\n16,__,Net Tonnage,48449,27412,0,21037,0,0,0,0,0,0\n17,ALGERIA,No. of Vessels,1,1,0,0,0,0,0,0,0,0\n18,__,Gross Tonnage,5210,5210,0,0,0,0,0,0,0,0\n19,__,Net Tonnage,1563,1563,0,0,0,0,0,0,0,0\n20,COMOROS,No. of Vessels,7,0,0,1,0,0,4,2,0,0\n21,__,Gross Tonnage,41576,0,0,20594,0,0,20024,958,0,0\n22,__,Net Tonnage,14773,0,0,6178,0,0,8384,211,0,0\n23,SOMALIA,No. of Vessels,1,0,0,0,0,0,1,0,0,0\n24,__,Gross Tonnage,499,0,0,0,0,0,499,,0,0\n25,__,Net Tonnage,326,0,0,0,0,0,326,,0,0\n26,EGYPT,No. of Vessels,1,0,0,0,0,1,0,0,0,0\n27,__,Gross Tonnage,33295,0,0,0,0,33295,0,0,0,0\n28,__,Net Tonnage,19294,0,0,0,0,19294,0,0,0,0\n29,INDONESIA,No. of Vessels,1,0,0,0,0,1,0,0,0,0\n30,__,Gross Tonnage,19728,0,0,0,0,19728,0,0,0,0\n31,__,Net Tonnage,10849,0,0,0,0,10849,0,0,0,0\n32,IRAN,No. of Vessels,22,6,0,0,0,0,0,16,0,0\n33,__,Gross Tonnage,15750,2517,0,0,0,0,0,13233,0,0\n34,__,Net Tonnage,8630,1134,0,0,0,0,0,7496,0,0\n35,PAKISTAN,No. of Vessels,3,3,0,0,0,0,0,0,0,0\n36,__,Gross Tonnage,3990,3990,0,0,0,0,0,0,0,0\n37,__,Net Tonnage,2676,2676,0,0,0,0,0,0,0,0\n38,BRUNEI,No. of Vessels,1,0,0,0,0,1,0,0,0,0\n39,__,Gross Tonnage,11176,0,0,0,0,11176,0,0,0,0\n40,__,Net Tonnage,6784,0,0,0,0,6784,0,0,0,0\n41,BANGLADESH,No. of Vessels,1,1,0,0,0,0,0,0,0,0\n42,__,Gross Tonnage,1611,1611,0,0,0,0,0,0,0,0\n43,__,Net Tonnage,1611,1611,0,0,0,0,0,0,0,0\n` \\n\\nQuestion: `Does Oman have a higher number of vessels compared to Bahrain?`\\n\\n # OUTPUT: \\nAnswer:"}]
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realWorldHCTs
|
|
psa--6--629
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./tables/csvs/psa--6--629.csv
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./tables/images/psa--6--629.jpg
|
,0,1,2,3,4,5,6,7,8,9,10,11
0,Country of Registration,Number & Tonnage,Type of Vessel,__,__,__,__,__,__,__,__,__
1,__,__,Total,Others,Passengers Vessels,Vehicles Vessels,Live Sheep,Loose Materials,Containers,Generals goods,Gas Tankers,Oil Tankers
2,QATAR,No. of Vessels,465,59,0,0,0,0,404,2,0,0
3,__,Gross Tonnage,5080683,103909,0,0,0,0,4976426,348,0,0
4,__,Net Tonnage,2569138,20195,0,0,0,0,2548839,104,0,0
5,BAHRAIN,No. of Vessels,4,3,0,0,0,1,0,0,0,0
6,__,Gross Tonnage,24207,1510,0,0,0,22697,0,0,0,0
7,__,Net Tonnage,13342,668,0,0,0,12674,0,0,0,0
8,SAUDI ARABIA,No. of Vessels,6,1,0,4,0,0,1,0,0,0
9,__,Gross Tonnage,213740,929,0,202856,0,0,9955,0,0,0
10,__,Net Tonnage,66734,929,0,60856,0,0,4949,0,0,0
11,OMAN,No. of Vessels,3,1,0,0,0,0,2,0,0,0
12,__,Gross Tonnage,4473,3475,0,0,0,0,998,0,0,0
13,__,Net Tonnage,1695,1043,0,0,0,0,652,0,0,0
14,KUWAIT,No. of Vessels,3,2,0,1,0,0,0,0,0,0
15,__,Gross Tonnage,132708,75016,0,57692,0,0,0,0,0,0
16,__,Net Tonnage,48449,27412,0,21037,0,0,0,0,0,0
17,ALGERIA,No. of Vessels,1,1,0,0,0,0,0,0,0,0
18,__,Gross Tonnage,5210,5210,0,0,0,0,0,0,0,0
19,__,Net Tonnage,1563,1563,0,0,0,0,0,0,0,0
20,COMOROS,No. of Vessels,7,0,0,1,0,0,4,2,0,0
21,__,Gross Tonnage,41576,0,0,20594,0,0,20024,958,0,0
22,__,Net Tonnage,14773,0,0,6178,0,0,8384,211,0,0
23,SOMALIA,No. of Vessels,1,0,0,0,0,0,1,0,0,0
24,__,Gross Tonnage,499,0,0,0,0,0,499,,0,0
25,__,Net Tonnage,326,0,0,0,0,0,326,,0,0
26,EGYPT,No. of Vessels,1,0,0,0,0,1,0,0,0,0
27,__,Gross Tonnage,33295,0,0,0,0,33295,0,0,0,0
28,__,Net Tonnage,19294,0,0,0,0,19294,0,0,0,0
29,INDONESIA,No. of Vessels,1,0,0,0,0,1,0,0,0,0
30,__,Gross Tonnage,19728,0,0,0,0,19728,0,0,0,0
31,__,Net Tonnage,10849,0,0,0,0,10849,0,0,0,0
32,IRAN,No. of Vessels,22,6,0,0,0,0,0,16,0,0
33,__,Gross Tonnage,15750,2517,0,0,0,0,0,13233,0,0
34,__,Net Tonnage,8630,1134,0,0,0,0,0,7496,0,0
35,PAKISTAN,No. of Vessels,3,3,0,0,0,0,0,0,0,0
36,__,Gross Tonnage,3990,3990,0,0,0,0,0,0,0,0
37,__,Net Tonnage,2676,2676,0,0,0,0,0,0,0,0
38,BRUNEI,No. of Vessels,1,0,0,0,0,1,0,0,0,0
39,__,Gross Tonnage,11176,0,0,0,0,11176,0,0,0,0
40,__,Net Tonnage,6784,0,0,0,0,6784,0,0,0,0
41,BANGLADESH,No. of Vessels,1,1,0,0,0,0,0,0,0,0
42,__,Gross Tonnage,1611,1611,0,0,0,0,0,0,0,0
43,__,Net Tonnage,1611,1611,0,0,0,0,0,0,0,0
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{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": true, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false, "Row Nesting": true}
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psa--6--629--A1
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What is the Gross Tonnage for the country of registration 'QATAR'?
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": false, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": false, "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": 1, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
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{5080683}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10,11\n0,Country of Registration,Number & Tonnage,Type of Vessel,__,__,__,__,__,__,__,__,__\n1,__,__,Total,Others,Passengers Vessels,Vehicles Vessels,Live Sheep,Loose Materials,Containers,Generals goods,Gas Tankers,Oil Tankers\n2,QATAR,No. of Vessels,465,59,0,0,0,0,404,2,0,0\n3,__,Gross Tonnage,5080683,103909,0,0,0,0,4976426,348,0,0\n4,__,Net Tonnage,2569138,20195,0,0,0,0,2548839,104,0,0\n5,BAHRAIN,No. of Vessels,4,3,0,0,0,1,0,0,0,0\n6,__,Gross Tonnage,24207,1510,0,0,0,22697,0,0,0,0\n7,__,Net Tonnage,13342,668,0,0,0,12674,0,0,0,0\n8,SAUDI ARABIA,No. of Vessels,6,1,0,4,0,0,1,0,0,0\n9,__,Gross Tonnage,213740,929,0,202856,0,0,9955,0,0,0\n10,__,Net Tonnage,66734,929,0,60856,0,0,4949,0,0,0\n11,OMAN,No. of Vessels,3,1,0,0,0,0,2,0,0,0\n12,__,Gross Tonnage,4473,3475,0,0,0,0,998,0,0,0\n13,__,Net Tonnage,1695,1043,0,0,0,0,652,0,0,0\n14,KUWAIT,No. of Vessels,3,2,0,1,0,0,0,0,0,0\n15,__,Gross Tonnage,132708,75016,0,57692,0,0,0,0,0,0\n16,__,Net Tonnage,48449,27412,0,21037,0,0,0,0,0,0\n17,ALGERIA,No. of Vessels,1,1,0,0,0,0,0,0,0,0\n18,__,Gross Tonnage,5210,5210,0,0,0,0,0,0,0,0\n19,__,Net Tonnage,1563,1563,0,0,0,0,0,0,0,0\n20,COMOROS,No. of Vessels,7,0,0,1,0,0,4,2,0,0\n21,__,Gross Tonnage,41576,0,0,20594,0,0,20024,958,0,0\n22,__,Net Tonnage,14773,0,0,6178,0,0,8384,211,0,0\n23,SOMALIA,No. of Vessels,1,0,0,0,0,0,1,0,0,0\n24,__,Gross Tonnage,499,0,0,0,0,0,499,,0,0\n25,__,Net Tonnage,326,0,0,0,0,0,326,,0,0\n26,EGYPT,No. of Vessels,1,0,0,0,0,1,0,0,0,0\n27,__,Gross Tonnage,33295,0,0,0,0,33295,0,0,0,0\n28,__,Net Tonnage,19294,0,0,0,0,19294,0,0,0,0\n29,INDONESIA,No. of Vessels,1,0,0,0,0,1,0,0,0,0\n30,__,Gross Tonnage,19728,0,0,0,0,19728,0,0,0,0\n31,__,Net Tonnage,10849,0,0,0,0,10849,0,0,0,0\n32,IRAN,No. of Vessels,22,6,0,0,0,0,0,16,0,0\n33,__,Gross Tonnage,15750,2517,0,0,0,0,0,13233,0,0\n34,__,Net Tonnage,8630,1134,0,0,0,0,0,7496,0,0\n35,PAKISTAN,No. of Vessels,3,3,0,0,0,0,0,0,0,0\n36,__,Gross Tonnage,3990,3990,0,0,0,0,0,0,0,0\n37,__,Net Tonnage,2676,2676,0,0,0,0,0,0,0,0\n38,BRUNEI,No. of Vessels,1,0,0,0,0,1,0,0,0,0\n39,__,Gross Tonnage,11176,0,0,0,0,11176,0,0,0,0\n40,__,Net Tonnage,6784,0,0,0,0,6784,0,0,0,0\n41,BANGLADESH,No. of Vessels,1,1,0,0,0,0,0,0,0,0\n42,__,Gross Tonnage,1611,1611,0,0,0,0,0,0,0,0\n43,__,Net Tonnage,1611,1611,0,0,0,0,0,0,0,0\n` \\n\\nQuestion: `What is the Gross Tonnage for the country of registration 'QATAR'?`\\n\\n # OUTPUT: \\nAnswer:"}]
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[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10,11\n0,Country of Registration,Number & Tonnage,Type of Vessel,__,__,__,__,__,__,__,__,__\n1,__,__,Total,Others,Passengers Vessels,Vehicles Vessels,Live Sheep,Loose Materials,Containers,Generals goods,Gas Tankers,Oil Tankers\n2,QATAR,No. of Vessels,465,59,0,0,0,0,404,2,0,0\n3,__,Gross Tonnage,5080683,103909,0,0,0,0,4976426,348,0,0\n4,__,Net Tonnage,2569138,20195,0,0,0,0,2548839,104,0,0\n5,BAHRAIN,No. of Vessels,4,3,0,0,0,1,0,0,0,0\n6,__,Gross Tonnage,24207,1510,0,0,0,22697,0,0,0,0\n7,__,Net Tonnage,13342,668,0,0,0,12674,0,0,0,0\n8,SAUDI ARABIA,No. of Vessels,6,1,0,4,0,0,1,0,0,0\n9,__,Gross Tonnage,213740,929,0,202856,0,0,9955,0,0,0\n10,__,Net Tonnage,66734,929,0,60856,0,0,4949,0,0,0\n11,OMAN,No. of Vessels,3,1,0,0,0,0,2,0,0,0\n12,__,Gross Tonnage,4473,3475,0,0,0,0,998,0,0,0\n13,__,Net Tonnage,1695,1043,0,0,0,0,652,0,0,0\n14,KUWAIT,No. of Vessels,3,2,0,1,0,0,0,0,0,0\n15,__,Gross Tonnage,132708,75016,0,57692,0,0,0,0,0,0\n16,__,Net Tonnage,48449,27412,0,21037,0,0,0,0,0,0\n17,ALGERIA,No. of Vessels,1,1,0,0,0,0,0,0,0,0\n18,__,Gross Tonnage,5210,5210,0,0,0,0,0,0,0,0\n19,__,Net Tonnage,1563,1563,0,0,0,0,0,0,0,0\n20,COMOROS,No. of Vessels,7,0,0,1,0,0,4,2,0,0\n21,__,Gross Tonnage,41576,0,0,20594,0,0,20024,958,0,0\n22,__,Net Tonnage,14773,0,0,6178,0,0,8384,211,0,0\n23,SOMALIA,No. of Vessels,1,0,0,0,0,0,1,0,0,0\n24,__,Gross Tonnage,499,0,0,0,0,0,499,,0,0\n25,__,Net Tonnage,326,0,0,0,0,0,326,,0,0\n26,EGYPT,No. of Vessels,1,0,0,0,0,1,0,0,0,0\n27,__,Gross Tonnage,33295,0,0,0,0,33295,0,0,0,0\n28,__,Net Tonnage,19294,0,0,0,0,19294,0,0,0,0\n29,INDONESIA,No. of Vessels,1,0,0,0,0,1,0,0,0,0\n30,__,Gross Tonnage,19728,0,0,0,0,19728,0,0,0,0\n31,__,Net Tonnage,10849,0,0,0,0,10849,0,0,0,0\n32,IRAN,No. of Vessels,22,6,0,0,0,0,0,16,0,0\n33,__,Gross Tonnage,15750,2517,0,0,0,0,0,13233,0,0\n34,__,Net Tonnage,8630,1134,0,0,0,0,0,7496,0,0\n35,PAKISTAN,No. of Vessels,3,3,0,0,0,0,0,0,0,0\n36,__,Gross Tonnage,3990,3990,0,0,0,0,0,0,0,0\n37,__,Net Tonnage,2676,2676,0,0,0,0,0,0,0,0\n38,BRUNEI,No. of Vessels,1,0,0,0,0,1,0,0,0,0\n39,__,Gross Tonnage,11176,0,0,0,0,11176,0,0,0,0\n40,__,Net Tonnage,6784,0,0,0,0,6784,0,0,0,0\n41,BANGLADESH,No. of Vessels,1,1,0,0,0,0,0,0,0,0\n42,__,Gross Tonnage,1611,1611,0,0,0,0,0,0,0,0\n43,__,Net Tonnage,1611,1611,0,0,0,0,0,0,0,0\n` \\n\\nQuestion: `What is the Gross Tonnage for the country of registration 'QATAR'?`\\n\\n # OUTPUT: \\nAnswer:"}]
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realWorldHCTs
|
|
psa--6--629
|
./tables/csvs/psa--6--629.csv
|
./tables/images/psa--6--629.jpg
|
,0,1,2,3,4,5,6,7,8,9,10,11
0,Country of Registration,Number & Tonnage,Type of Vessel,__,__,__,__,__,__,__,__,__
1,__,__,Total,Others,Passengers Vessels,Vehicles Vessels,Live Sheep,Loose Materials,Containers,Generals goods,Gas Tankers,Oil Tankers
2,QATAR,No. of Vessels,465,59,0,0,0,0,404,2,0,0
3,__,Gross Tonnage,5080683,103909,0,0,0,0,4976426,348,0,0
4,__,Net Tonnage,2569138,20195,0,0,0,0,2548839,104,0,0
5,BAHRAIN,No. of Vessels,4,3,0,0,0,1,0,0,0,0
6,__,Gross Tonnage,24207,1510,0,0,0,22697,0,0,0,0
7,__,Net Tonnage,13342,668,0,0,0,12674,0,0,0,0
8,SAUDI ARABIA,No. of Vessels,6,1,0,4,0,0,1,0,0,0
9,__,Gross Tonnage,213740,929,0,202856,0,0,9955,0,0,0
10,__,Net Tonnage,66734,929,0,60856,0,0,4949,0,0,0
11,OMAN,No. of Vessels,3,1,0,0,0,0,2,0,0,0
12,__,Gross Tonnage,4473,3475,0,0,0,0,998,0,0,0
13,__,Net Tonnage,1695,1043,0,0,0,0,652,0,0,0
14,KUWAIT,No. of Vessels,3,2,0,1,0,0,0,0,0,0
15,__,Gross Tonnage,132708,75016,0,57692,0,0,0,0,0,0
16,__,Net Tonnage,48449,27412,0,21037,0,0,0,0,0,0
17,ALGERIA,No. of Vessels,1,1,0,0,0,0,0,0,0,0
18,__,Gross Tonnage,5210,5210,0,0,0,0,0,0,0,0
19,__,Net Tonnage,1563,1563,0,0,0,0,0,0,0,0
20,COMOROS,No. of Vessels,7,0,0,1,0,0,4,2,0,0
21,__,Gross Tonnage,41576,0,0,20594,0,0,20024,958,0,0
22,__,Net Tonnage,14773,0,0,6178,0,0,8384,211,0,0
23,SOMALIA,No. of Vessels,1,0,0,0,0,0,1,0,0,0
24,__,Gross Tonnage,499,0,0,0,0,0,499,,0,0
25,__,Net Tonnage,326,0,0,0,0,0,326,,0,0
26,EGYPT,No. of Vessels,1,0,0,0,0,1,0,0,0,0
27,__,Gross Tonnage,33295,0,0,0,0,33295,0,0,0,0
28,__,Net Tonnage,19294,0,0,0,0,19294,0,0,0,0
29,INDONESIA,No. of Vessels,1,0,0,0,0,1,0,0,0,0
30,__,Gross Tonnage,19728,0,0,0,0,19728,0,0,0,0
31,__,Net Tonnage,10849,0,0,0,0,10849,0,0,0,0
32,IRAN,No. of Vessels,22,6,0,0,0,0,0,16,0,0
33,__,Gross Tonnage,15750,2517,0,0,0,0,0,13233,0,0
34,__,Net Tonnage,8630,1134,0,0,0,0,0,7496,0,0
35,PAKISTAN,No. of Vessels,3,3,0,0,0,0,0,0,0,0
36,__,Gross Tonnage,3990,3990,0,0,0,0,0,0,0,0
37,__,Net Tonnage,2676,2676,0,0,0,0,0,0,0,0
38,BRUNEI,No. of Vessels,1,0,0,0,0,1,0,0,0,0
39,__,Gross Tonnage,11176,0,0,0,0,11176,0,0,0,0
40,__,Net Tonnage,6784,0,0,0,0,6784,0,0,0,0
41,BANGLADESH,No. of Vessels,1,1,0,0,0,0,0,0,0,0
42,__,Gross Tonnage,1611,1611,0,0,0,0,0,0,0,0
43,__,Net Tonnage,1611,1611,0,0,0,0,0,0,0,0
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": true, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false, "Row Nesting": true}
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psa--6--629--A2
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What were the Gross Tonnage, Net Tonnage, and the number of Passenger Vessels for Saudi Arabia and Kuwait?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": false, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": 3, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{213740} || {66734} || {0} || {132708} || {48449} || {0}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10,11\n0,Country of Registration,Number & Tonnage,Type of Vessel,__,__,__,__,__,__,__,__,__\n1,__,__,Total,Others,Passengers Vessels,Vehicles Vessels,Live Sheep,Loose Materials,Containers,Generals goods,Gas Tankers,Oil Tankers\n2,QATAR,No. of Vessels,465,59,0,0,0,0,404,2,0,0\n3,__,Gross Tonnage,5080683,103909,0,0,0,0,4976426,348,0,0\n4,__,Net Tonnage,2569138,20195,0,0,0,0,2548839,104,0,0\n5,BAHRAIN,No. of Vessels,4,3,0,0,0,1,0,0,0,0\n6,__,Gross Tonnage,24207,1510,0,0,0,22697,0,0,0,0\n7,__,Net Tonnage,13342,668,0,0,0,12674,0,0,0,0\n8,SAUDI ARABIA,No. of Vessels,6,1,0,4,0,0,1,0,0,0\n9,__,Gross Tonnage,213740,929,0,202856,0,0,9955,0,0,0\n10,__,Net Tonnage,66734,929,0,60856,0,0,4949,0,0,0\n11,OMAN,No. of Vessels,3,1,0,0,0,0,2,0,0,0\n12,__,Gross Tonnage,4473,3475,0,0,0,0,998,0,0,0\n13,__,Net Tonnage,1695,1043,0,0,0,0,652,0,0,0\n14,KUWAIT,No. of Vessels,3,2,0,1,0,0,0,0,0,0\n15,__,Gross Tonnage,132708,75016,0,57692,0,0,0,0,0,0\n16,__,Net Tonnage,48449,27412,0,21037,0,0,0,0,0,0\n17,ALGERIA,No. of Vessels,1,1,0,0,0,0,0,0,0,0\n18,__,Gross Tonnage,5210,5210,0,0,0,0,0,0,0,0\n19,__,Net Tonnage,1563,1563,0,0,0,0,0,0,0,0\n20,COMOROS,No. of Vessels,7,0,0,1,0,0,4,2,0,0\n21,__,Gross Tonnage,41576,0,0,20594,0,0,20024,958,0,0\n22,__,Net Tonnage,14773,0,0,6178,0,0,8384,211,0,0\n23,SOMALIA,No. of Vessels,1,0,0,0,0,0,1,0,0,0\n24,__,Gross Tonnage,499,0,0,0,0,0,499,,0,0\n25,__,Net Tonnage,326,0,0,0,0,0,326,,0,0\n26,EGYPT,No. of Vessels,1,0,0,0,0,1,0,0,0,0\n27,__,Gross Tonnage,33295,0,0,0,0,33295,0,0,0,0\n28,__,Net Tonnage,19294,0,0,0,0,19294,0,0,0,0\n29,INDONESIA,No. of Vessels,1,0,0,0,0,1,0,0,0,0\n30,__,Gross Tonnage,19728,0,0,0,0,19728,0,0,0,0\n31,__,Net Tonnage,10849,0,0,0,0,10849,0,0,0,0\n32,IRAN,No. of Vessels,22,6,0,0,0,0,0,16,0,0\n33,__,Gross Tonnage,15750,2517,0,0,0,0,0,13233,0,0\n34,__,Net Tonnage,8630,1134,0,0,0,0,0,7496,0,0\n35,PAKISTAN,No. of Vessels,3,3,0,0,0,0,0,0,0,0\n36,__,Gross Tonnage,3990,3990,0,0,0,0,0,0,0,0\n37,__,Net Tonnage,2676,2676,0,0,0,0,0,0,0,0\n38,BRUNEI,No. of Vessels,1,0,0,0,0,1,0,0,0,0\n39,__,Gross Tonnage,11176,0,0,0,0,11176,0,0,0,0\n40,__,Net Tonnage,6784,0,0,0,0,6784,0,0,0,0\n41,BANGLADESH,No. of Vessels,1,1,0,0,0,0,0,0,0,0\n42,__,Gross Tonnage,1611,1611,0,0,0,0,0,0,0,0\n43,__,Net Tonnage,1611,1611,0,0,0,0,0,0,0,0\n` \\n\\nQuestion: `What were the Gross Tonnage, Net Tonnage, and the number of Passenger Vessels for Saudi Arabia and Kuwait?`\\n\\n # OUTPUT: \\nAnswer:"}]
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[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10,11\n0,Country of Registration,Number & Tonnage,Type of Vessel,__,__,__,__,__,__,__,__,__\n1,__,__,Total,Others,Passengers Vessels,Vehicles Vessels,Live Sheep,Loose Materials,Containers,Generals goods,Gas Tankers,Oil Tankers\n2,QATAR,No. of Vessels,465,59,0,0,0,0,404,2,0,0\n3,__,Gross Tonnage,5080683,103909,0,0,0,0,4976426,348,0,0\n4,__,Net Tonnage,2569138,20195,0,0,0,0,2548839,104,0,0\n5,BAHRAIN,No. of Vessels,4,3,0,0,0,1,0,0,0,0\n6,__,Gross Tonnage,24207,1510,0,0,0,22697,0,0,0,0\n7,__,Net Tonnage,13342,668,0,0,0,12674,0,0,0,0\n8,SAUDI ARABIA,No. of Vessels,6,1,0,4,0,0,1,0,0,0\n9,__,Gross Tonnage,213740,929,0,202856,0,0,9955,0,0,0\n10,__,Net Tonnage,66734,929,0,60856,0,0,4949,0,0,0\n11,OMAN,No. of Vessels,3,1,0,0,0,0,2,0,0,0\n12,__,Gross Tonnage,4473,3475,0,0,0,0,998,0,0,0\n13,__,Net Tonnage,1695,1043,0,0,0,0,652,0,0,0\n14,KUWAIT,No. of Vessels,3,2,0,1,0,0,0,0,0,0\n15,__,Gross Tonnage,132708,75016,0,57692,0,0,0,0,0,0\n16,__,Net Tonnage,48449,27412,0,21037,0,0,0,0,0,0\n17,ALGERIA,No. of Vessels,1,1,0,0,0,0,0,0,0,0\n18,__,Gross Tonnage,5210,5210,0,0,0,0,0,0,0,0\n19,__,Net Tonnage,1563,1563,0,0,0,0,0,0,0,0\n20,COMOROS,No. of Vessels,7,0,0,1,0,0,4,2,0,0\n21,__,Gross Tonnage,41576,0,0,20594,0,0,20024,958,0,0\n22,__,Net Tonnage,14773,0,0,6178,0,0,8384,211,0,0\n23,SOMALIA,No. of Vessels,1,0,0,0,0,0,1,0,0,0\n24,__,Gross Tonnage,499,0,0,0,0,0,499,,0,0\n25,__,Net Tonnage,326,0,0,0,0,0,326,,0,0\n26,EGYPT,No. of Vessels,1,0,0,0,0,1,0,0,0,0\n27,__,Gross Tonnage,33295,0,0,0,0,33295,0,0,0,0\n28,__,Net Tonnage,19294,0,0,0,0,19294,0,0,0,0\n29,INDONESIA,No. of Vessels,1,0,0,0,0,1,0,0,0,0\n30,__,Gross Tonnage,19728,0,0,0,0,19728,0,0,0,0\n31,__,Net Tonnage,10849,0,0,0,0,10849,0,0,0,0\n32,IRAN,No. of Vessels,22,6,0,0,0,0,0,16,0,0\n33,__,Gross Tonnage,15750,2517,0,0,0,0,0,13233,0,0\n34,__,Net Tonnage,8630,1134,0,0,0,0,0,7496,0,0\n35,PAKISTAN,No. of Vessels,3,3,0,0,0,0,0,0,0,0\n36,__,Gross Tonnage,3990,3990,0,0,0,0,0,0,0,0\n37,__,Net Tonnage,2676,2676,0,0,0,0,0,0,0,0\n38,BRUNEI,No. of Vessels,1,0,0,0,0,1,0,0,0,0\n39,__,Gross Tonnage,11176,0,0,0,0,11176,0,0,0,0\n40,__,Net Tonnage,6784,0,0,0,0,6784,0,0,0,0\n41,BANGLADESH,No. of Vessels,1,1,0,0,0,0,0,0,0,0\n42,__,Gross Tonnage,1611,1611,0,0,0,0,0,0,0,0\n43,__,Net Tonnage,1611,1611,0,0,0,0,0,0,0,0\n` \\n\\nQuestion: `What were the Gross Tonnage, Net Tonnage, and the number of Passenger Vessels for Saudi Arabia and Kuwait?`\\n\\n # OUTPUT: \\nAnswer:"}]
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realWorldHCTs
|
|
psa--6--629
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./tables/csvs/psa--6--629.csv
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./tables/images/psa--6--629.jpg
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,0,1,2,3,4,5,6,7,8,9,10,11
0,Country of Registration,Number & Tonnage,Type of Vessel,__,__,__,__,__,__,__,__,__
1,__,__,Total,Others,Passengers Vessels,Vehicles Vessels,Live Sheep,Loose Materials,Containers,Generals goods,Gas Tankers,Oil Tankers
2,QATAR,No. of Vessels,465,59,0,0,0,0,404,2,0,0
3,__,Gross Tonnage,5080683,103909,0,0,0,0,4976426,348,0,0
4,__,Net Tonnage,2569138,20195,0,0,0,0,2548839,104,0,0
5,BAHRAIN,No. of Vessels,4,3,0,0,0,1,0,0,0,0
6,__,Gross Tonnage,24207,1510,0,0,0,22697,0,0,0,0
7,__,Net Tonnage,13342,668,0,0,0,12674,0,0,0,0
8,SAUDI ARABIA,No. of Vessels,6,1,0,4,0,0,1,0,0,0
9,__,Gross Tonnage,213740,929,0,202856,0,0,9955,0,0,0
10,__,Net Tonnage,66734,929,0,60856,0,0,4949,0,0,0
11,OMAN,No. of Vessels,3,1,0,0,0,0,2,0,0,0
12,__,Gross Tonnage,4473,3475,0,0,0,0,998,0,0,0
13,__,Net Tonnage,1695,1043,0,0,0,0,652,0,0,0
14,KUWAIT,No. of Vessels,3,2,0,1,0,0,0,0,0,0
15,__,Gross Tonnage,132708,75016,0,57692,0,0,0,0,0,0
16,__,Net Tonnage,48449,27412,0,21037,0,0,0,0,0,0
17,ALGERIA,No. of Vessels,1,1,0,0,0,0,0,0,0,0
18,__,Gross Tonnage,5210,5210,0,0,0,0,0,0,0,0
19,__,Net Tonnage,1563,1563,0,0,0,0,0,0,0,0
20,COMOROS,No. of Vessels,7,0,0,1,0,0,4,2,0,0
21,__,Gross Tonnage,41576,0,0,20594,0,0,20024,958,0,0
22,__,Net Tonnage,14773,0,0,6178,0,0,8384,211,0,0
23,SOMALIA,No. of Vessels,1,0,0,0,0,0,1,0,0,0
24,__,Gross Tonnage,499,0,0,0,0,0,499,,0,0
25,__,Net Tonnage,326,0,0,0,0,0,326,,0,0
26,EGYPT,No. of Vessels,1,0,0,0,0,1,0,0,0,0
27,__,Gross Tonnage,33295,0,0,0,0,33295,0,0,0,0
28,__,Net Tonnage,19294,0,0,0,0,19294,0,0,0,0
29,INDONESIA,No. of Vessels,1,0,0,0,0,1,0,0,0,0
30,__,Gross Tonnage,19728,0,0,0,0,19728,0,0,0,0
31,__,Net Tonnage,10849,0,0,0,0,10849,0,0,0,0
32,IRAN,No. of Vessels,22,6,0,0,0,0,0,16,0,0
33,__,Gross Tonnage,15750,2517,0,0,0,0,0,13233,0,0
34,__,Net Tonnage,8630,1134,0,0,0,0,0,7496,0,0
35,PAKISTAN,No. of Vessels,3,3,0,0,0,0,0,0,0,0
36,__,Gross Tonnage,3990,3990,0,0,0,0,0,0,0,0
37,__,Net Tonnage,2676,2676,0,0,0,0,0,0,0,0
38,BRUNEI,No. of Vessels,1,0,0,0,0,1,0,0,0,0
39,__,Gross Tonnage,11176,0,0,0,0,11176,0,0,0,0
40,__,Net Tonnage,6784,0,0,0,0,6784,0,0,0,0
41,BANGLADESH,No. of Vessels,1,1,0,0,0,0,0,0,0,0
42,__,Gross Tonnage,1611,1611,0,0,0,0,0,0,0,0
43,__,Net Tonnage,1611,1611,0,0,0,0,0,0,0,0
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{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": true, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false, "Row Nesting": true}
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psa--6--629--A5
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For the country of registration 'OMAN', what is the difference between the Gross Tonnage and Net Tonnage for the year 2022?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": true, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": 1, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": 1, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
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{2778}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10,11\n0,Country of Registration,Number & Tonnage,Type of Vessel,__,__,__,__,__,__,__,__,__\n1,__,__,Total,Others,Passengers Vessels,Vehicles Vessels,Live Sheep,Loose Materials,Containers,Generals goods,Gas Tankers,Oil Tankers\n2,QATAR,No. of Vessels,465,59,0,0,0,0,404,2,0,0\n3,__,Gross Tonnage,5080683,103909,0,0,0,0,4976426,348,0,0\n4,__,Net Tonnage,2569138,20195,0,0,0,0,2548839,104,0,0\n5,BAHRAIN,No. of Vessels,4,3,0,0,0,1,0,0,0,0\n6,__,Gross Tonnage,24207,1510,0,0,0,22697,0,0,0,0\n7,__,Net Tonnage,13342,668,0,0,0,12674,0,0,0,0\n8,SAUDI ARABIA,No. of Vessels,6,1,0,4,0,0,1,0,0,0\n9,__,Gross Tonnage,213740,929,0,202856,0,0,9955,0,0,0\n10,__,Net Tonnage,66734,929,0,60856,0,0,4949,0,0,0\n11,OMAN,No. of Vessels,3,1,0,0,0,0,2,0,0,0\n12,__,Gross Tonnage,4473,3475,0,0,0,0,998,0,0,0\n13,__,Net Tonnage,1695,1043,0,0,0,0,652,0,0,0\n14,KUWAIT,No. of Vessels,3,2,0,1,0,0,0,0,0,0\n15,__,Gross Tonnage,132708,75016,0,57692,0,0,0,0,0,0\n16,__,Net Tonnage,48449,27412,0,21037,0,0,0,0,0,0\n17,ALGERIA,No. of Vessels,1,1,0,0,0,0,0,0,0,0\n18,__,Gross Tonnage,5210,5210,0,0,0,0,0,0,0,0\n19,__,Net Tonnage,1563,1563,0,0,0,0,0,0,0,0\n20,COMOROS,No. of Vessels,7,0,0,1,0,0,4,2,0,0\n21,__,Gross Tonnage,41576,0,0,20594,0,0,20024,958,0,0\n22,__,Net Tonnage,14773,0,0,6178,0,0,8384,211,0,0\n23,SOMALIA,No. of Vessels,1,0,0,0,0,0,1,0,0,0\n24,__,Gross Tonnage,499,0,0,0,0,0,499,,0,0\n25,__,Net Tonnage,326,0,0,0,0,0,326,,0,0\n26,EGYPT,No. of Vessels,1,0,0,0,0,1,0,0,0,0\n27,__,Gross Tonnage,33295,0,0,0,0,33295,0,0,0,0\n28,__,Net Tonnage,19294,0,0,0,0,19294,0,0,0,0\n29,INDONESIA,No. of Vessels,1,0,0,0,0,1,0,0,0,0\n30,__,Gross Tonnage,19728,0,0,0,0,19728,0,0,0,0\n31,__,Net Tonnage,10849,0,0,0,0,10849,0,0,0,0\n32,IRAN,No. of Vessels,22,6,0,0,0,0,0,16,0,0\n33,__,Gross Tonnage,15750,2517,0,0,0,0,0,13233,0,0\n34,__,Net Tonnage,8630,1134,0,0,0,0,0,7496,0,0\n35,PAKISTAN,No. of Vessels,3,3,0,0,0,0,0,0,0,0\n36,__,Gross Tonnage,3990,3990,0,0,0,0,0,0,0,0\n37,__,Net Tonnage,2676,2676,0,0,0,0,0,0,0,0\n38,BRUNEI,No. of Vessels,1,0,0,0,0,1,0,0,0,0\n39,__,Gross Tonnage,11176,0,0,0,0,11176,0,0,0,0\n40,__,Net Tonnage,6784,0,0,0,0,6784,0,0,0,0\n41,BANGLADESH,No. of Vessels,1,1,0,0,0,0,0,0,0,0\n42,__,Gross Tonnage,1611,1611,0,0,0,0,0,0,0,0\n43,__,Net Tonnage,1611,1611,0,0,0,0,0,0,0,0\n` \\n\\nQuestion: `For the country of registration 'OMAN', what is the difference between the Gross Tonnage and Net Tonnage for the year 2022?`\\n\\n # OUTPUT: \\nAnswer:"}]
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[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10,11\n0,Country of Registration,Number & Tonnage,Type of Vessel,__,__,__,__,__,__,__,__,__\n1,__,__,Total,Others,Passengers Vessels,Vehicles Vessels,Live Sheep,Loose Materials,Containers,Generals goods,Gas Tankers,Oil Tankers\n2,QATAR,No. of Vessels,465,59,0,0,0,0,404,2,0,0\n3,__,Gross Tonnage,5080683,103909,0,0,0,0,4976426,348,0,0\n4,__,Net Tonnage,2569138,20195,0,0,0,0,2548839,104,0,0\n5,BAHRAIN,No. of Vessels,4,3,0,0,0,1,0,0,0,0\n6,__,Gross Tonnage,24207,1510,0,0,0,22697,0,0,0,0\n7,__,Net Tonnage,13342,668,0,0,0,12674,0,0,0,0\n8,SAUDI ARABIA,No. of Vessels,6,1,0,4,0,0,1,0,0,0\n9,__,Gross Tonnage,213740,929,0,202856,0,0,9955,0,0,0\n10,__,Net Tonnage,66734,929,0,60856,0,0,4949,0,0,0\n11,OMAN,No. of Vessels,3,1,0,0,0,0,2,0,0,0\n12,__,Gross Tonnage,4473,3475,0,0,0,0,998,0,0,0\n13,__,Net Tonnage,1695,1043,0,0,0,0,652,0,0,0\n14,KUWAIT,No. of Vessels,3,2,0,1,0,0,0,0,0,0\n15,__,Gross Tonnage,132708,75016,0,57692,0,0,0,0,0,0\n16,__,Net Tonnage,48449,27412,0,21037,0,0,0,0,0,0\n17,ALGERIA,No. of Vessels,1,1,0,0,0,0,0,0,0,0\n18,__,Gross Tonnage,5210,5210,0,0,0,0,0,0,0,0\n19,__,Net Tonnage,1563,1563,0,0,0,0,0,0,0,0\n20,COMOROS,No. of Vessels,7,0,0,1,0,0,4,2,0,0\n21,__,Gross Tonnage,41576,0,0,20594,0,0,20024,958,0,0\n22,__,Net Tonnage,14773,0,0,6178,0,0,8384,211,0,0\n23,SOMALIA,No. of Vessels,1,0,0,0,0,0,1,0,0,0\n24,__,Gross Tonnage,499,0,0,0,0,0,499,,0,0\n25,__,Net Tonnage,326,0,0,0,0,0,326,,0,0\n26,EGYPT,No. of Vessels,1,0,0,0,0,1,0,0,0,0\n27,__,Gross Tonnage,33295,0,0,0,0,33295,0,0,0,0\n28,__,Net Tonnage,19294,0,0,0,0,19294,0,0,0,0\n29,INDONESIA,No. of Vessels,1,0,0,0,0,1,0,0,0,0\n30,__,Gross Tonnage,19728,0,0,0,0,19728,0,0,0,0\n31,__,Net Tonnage,10849,0,0,0,0,10849,0,0,0,0\n32,IRAN,No. of Vessels,22,6,0,0,0,0,0,16,0,0\n33,__,Gross Tonnage,15750,2517,0,0,0,0,0,13233,0,0\n34,__,Net Tonnage,8630,1134,0,0,0,0,0,7496,0,0\n35,PAKISTAN,No. of Vessels,3,3,0,0,0,0,0,0,0,0\n36,__,Gross Tonnage,3990,3990,0,0,0,0,0,0,0,0\n37,__,Net Tonnage,2676,2676,0,0,0,0,0,0,0,0\n38,BRUNEI,No. of Vessels,1,0,0,0,0,1,0,0,0,0\n39,__,Gross Tonnage,11176,0,0,0,0,11176,0,0,0,0\n40,__,Net Tonnage,6784,0,0,0,0,6784,0,0,0,0\n41,BANGLADESH,No. of Vessels,1,1,0,0,0,0,0,0,0,0\n42,__,Gross Tonnage,1611,1611,0,0,0,0,0,0,0,0\n43,__,Net Tonnage,1611,1611,0,0,0,0,0,0,0,0\n` \\n\\nQuestion: `For the country of registration 'OMAN', what is the difference between the Gross Tonnage and Net Tonnage for the year 2022?`\\n\\n # OUTPUT: \\nAnswer:"}]
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realWorldHCTs
|
|
census--5--2568
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./tables/csvs/census--5--2568.csv
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./tables/images/census--5--2568.jpg
|
,0,1,2,3,4,5,6,7
0,State,2001,__,__,2002,__,__,__
1,__,Total,Crops,Live- stock and prod- ucts,Total,Crops,Live- stock and prod- ucts,State rank for total farm marketings and four principal commodities in order of marketing receipts
2,U.S.,"199,779","93,366","106,413","192,948","99,468","93,480","Cattle, dairy products, corn, greenhouse"
3,AL .,"3,448",632,"2,816","2,962",584,"2,378","|29-Broilers, cattle, chicken eggs, greenhouse"
4,AK,52,23,29,51,23,28,"49-Greenhouse, dairy products, hay, potatoes"
5,AZ,"2,601","1,409","1,192","2,997","1,903","1,094","27-Lettuce, cattle, dairy products, cotton"
6,AR,"4,966","1,450",3.516,"4,527","1,575","2,952","14-Broilers, soybeans, cattle, rice"
7,CA,"26,378","19,035","7,343","26,107","19,865","6,242","1-Dairy products, greenhouse, grapes, lettuce"
8,CO,"4,719","1,346","3,373","4,881","1,379","3,502","12-Cattle, corn, dairy products, greenhouse"
9,CT,483,307,175,468,314,154,"43-Greenhouse, dairy products, chicken eggs, aquaculture"
10,DE,845,187,659,724,177,546,"40-Broilers, greenhouse, corn, soybeans"
11,FL,"6,690","5,288","1,402","6,848","5,609","1,239","8-Greenhouse, oranges, sugar cane, tomatoes"
12,GA,"5,274","1,735","3,539","4,472","1,582","2,890","15-Broilers, chicken eggs, cotton, cattle"
13,HI.,513,425,88,509,424,85,"41-Pineapples, greenhouse, sugar cane, macadamia nuts"
14,ID,"3,714","1,652","2,062","3,934","1,935","1,999","19-Cattle, dairy products, potatoes, wheat"
15,IL,"7,308","5,461","1,846","7,486","5,924","1,562","6-Corn, soybeans, hogs, cattle"
16,IN,"5,157","3,290","1,868","4,800","3,249","1,551","13-Corn, soybeans, hogs, dairy products"
17,IA,"10,653","4,728","5,926","10,834","5,759","5,075","3-Corn, hogs, soybeans, cattle"
18,KS,"7,979","2,474","5,505","7,862","2,536","5,325","5-Cattle, wheat, corn, soybeans"
19,KY,"3,528","1,265","2,263","3,112","1,151","1,961","24-Horses/mules, tobacco, broilers, cattle"
20,LA,"1,786","1,084",701,"1,773","1,159",614,"|33-Sugar cane, cotton, cattle, corn"
21,ME,490,217,273,442,212,230,"44-Potatoes, dairy products, chicken eggs, aquaculture"
22,MD,"1,596",647,949,1.432,621,810,"36-Broilers, greenhouse, dairy products, corn"
23,MA,367,273,94,380,297,83,"45-Greenhouse, cranberries, dairy products, sweet corn"
24,MI,"3,507","2,015",1.492,"3,390","2,130","1,260","22-Dairy products, greenhouse, soybeans, corn"
25,MN.,"7,537","3,255","4,283","7,478","3,833","3,645","7-Corn, soybeans, hogs, dairy products"
26,MS.,"3,141",865,"2,276","2,962","1,013","1,950","28-Broilers, cotton, soybeans, aquaculture"
27,MO,"4,723",2.039,"2,684","4,402","2,100","2,302","16-Soybeans, cattle, corn, hogs"
28,MT,"1,760",635,"1,124","1,687",702,985,"34-Cattle, wheat, hay, barley"
29,NE,"9,221","3,126","6,095","9,589","3,764","5,824","4-Cattle, corn, soybeans, hogs"
30,NV,428,157,271,366,155,211,"47-Cattle, hay, dairy products, onions"
31,NH,157,90,67,148,91,56,"48-Greenhouse, dairy products, apples, cattle"
32,NJ,837,634,203,856,663,193,"39-Greenhouse, horses/mules, blueberries, dairy products"
33,NM.,"2,213",543,"1,670","1,957",575,"1,382","32-Dairy products, cattle, hay, greenhouse"
34,NY,3.391,"1,169","2,222","3,104",1.234,"1,870","25-Dairy products, greenhouse, hay, apples"
35,NC,"7,585",2.931,"4,654","6,603","2,659","3,944","9-Hogs, broilers, greenhouse, tobacco"
36,ND .,"2,938",2.211,727,"3,223","2,499",724,"23-Wheat, cattle, soybeans, sugar beets"
37,OH,"4,529","2,669","1,860","4,276","2,646","1,630","17-Soybeans, corn, greenhouse, dairy products"
38,OK.,"3,937",796,"3,142","3,731",837,"2,893","21-Cattle, hogs, broilers, wheat"
39,OR,"3,127","2,302",825,"3,102","2,294",808,"26-Greenhouse, cattle, dairy products, hay"
40,PA,4.514,"1,366","3,148","4,042","1,360","2,682","18-Dairy products, cattle, agaricus mushrooms, greenhouse"
41,RI.,48,40,8,46,40,6,"50-Greenhouse, dairy products, sweet corn, potatoes"
42,SC,"1,595",713,883,"1,452",692,760,"35-Broilers, greenhouse, turkeys, tobacco"
43,SD,"3,897","1,640","2,257","3,779","1,720","2,060","|20-Cattle, corn, soybeans, hogs"
44,TN,"2,118",988,"1,130","2,000","1,087",913,"31-Cattle, broilers, greenhouse, soybeans"
45,TX,"13,509","4,165","9,345","12,665","4,577","8,088","2-Cattle, greenhouse, cotton, broilers"
46,UT,"1,113",257,855,"1,057",249,808,"37-Cattle, dairy products, hay, hogs"
47,VT,558,67,490,476,76,400,"42-Dairy products, cattle, greenhouse, maple products"
48,VA,"2,457",756,"1,702","2,173",722,"1,451","30-Broilers, cattle, dairy products, greenhouse"
49,WA,"5,200","3,479","1,721","5,209","3,714","1,495","11-Apples, dairy products, cattle, potatoes"
50,WV.,437,89,348,378,78,300,"46-Broilers, cattle, dairy products, chicken eggs"
51,WI,"5,761","1,290","4,471","5,319","1,551","3,768","10-Dairy products, cattle, corn, soybeans"
52,WY.,995,153,842,876,126,750,"38-Cattle, hay, sugar beets, sheep/lambs"
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": true, "Column Aggregation": true, "Global Column Aggregation": false, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": true, "Split Header Cell": false, "Row Group Label": false}
|
census--5--2568--M1
|
What is the total production of crops across all states in the US in the year 2002?
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "", "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "", "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": "2", "Returned Columns Expression In Table Present": true, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": true, "Aggregation Aggregation On Plain": true, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": true, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": true, "Aggregation Aggregation In Table Present": true, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": "1", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
{99468}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7\n0,State,2001,__,__,2002,__,__,__\n1,__,Total,Crops,Live- stock and prod- ucts,Total,Crops,Live- stock and prod- ucts,State rank for total farm marketings and four principal commodities in order of marketing receipts\n2,U.S.,\"199,779\",\"93,366\",\"106,413\",\"192,948\",\"99,468\",\"93,480\",\"Cattle, dairy products, corn, greenhouse\"\n3,AL .,\"3,448\",632,\"2,816\",\"2,962\",584,\"2,378\",\"|29-Broilers, cattle, chicken eggs, greenhouse\"\n4,AK,52,23,29,51,23,28,\"49-Greenhouse, dairy products, hay, potatoes\"\n5,AZ,\"2,601\",\"1,409\",\"1,192\",\"2,997\",\"1,903\",\"1,094\",\"27-Lettuce, cattle, dairy products, cotton\"\n6,AR,\"4,966\",\"1,450\",3.516,\"4,527\",\"1,575\",\"2,952\",\"14-Broilers, soybeans, cattle, rice\"\n7,CA,\"26,378\",\"19,035\",\"7,343\",\"26,107\",\"19,865\",\"6,242\",\"1-Dairy products, greenhouse, grapes, lettuce\"\n8,CO,\"4,719\",\"1,346\",\"3,373\",\"4,881\",\"1,379\",\"3,502\",\"12-Cattle, corn, dairy products, greenhouse\"\n9,CT,483,307,175,468,314,154,\"43-Greenhouse, dairy products, chicken eggs, aquaculture\"\n10,DE,845,187,659,724,177,546,\"40-Broilers, greenhouse, corn, soybeans\"\n11,FL,\"6,690\",\"5,288\",\"1,402\",\"6,848\",\"5,609\",\"1,239\",\"8-Greenhouse, oranges, sugar cane, tomatoes\"\n12,GA,\"5,274\",\"1,735\",\"3,539\",\"4,472\",\"1,582\",\"2,890\",\"15-Broilers, chicken eggs, cotton, cattle\"\n13,HI.,513,425,88,509,424,85,\"41-Pineapples, greenhouse, sugar cane, macadamia nuts\"\n14,ID,\"3,714\",\"1,652\",\"2,062\",\"3,934\",\"1,935\",\"1,999\",\"19-Cattle, dairy products, potatoes, wheat\"\n15,IL,\"7,308\",\"5,461\",\"1,846\",\"7,486\",\"5,924\",\"1,562\",\"6-Corn, soybeans, hogs, cattle\"\n16,IN,\"5,157\",\"3,290\",\"1,868\",\"4,800\",\"3,249\",\"1,551\",\"13-Corn, soybeans, hogs, dairy products\"\n17,IA,\"10,653\",\"4,728\",\"5,926\",\"10,834\",\"5,759\",\"5,075\",\"3-Corn, hogs, soybeans, cattle\"\n18,KS,\"7,979\",\"2,474\",\"5,505\",\"7,862\",\"2,536\",\"5,325\",\"5-Cattle, wheat, corn, soybeans\"\n19,KY,\"3,528\",\"1,265\",\"2,263\",\"3,112\",\"1,151\",\"1,961\",\"24-Horses/mules, tobacco, broilers, cattle\"\n20,LA,\"1,786\",\"1,084\",701,\"1,773\",\"1,159\",614,\"|33-Sugar cane, cotton, cattle, corn\"\n21,ME,490,217,273,442,212,230,\"44-Potatoes, dairy products, chicken eggs, aquaculture\"\n22,MD,\"1,596\",647,949,1.432,621,810,\"36-Broilers, greenhouse, dairy products, corn\"\n23,MA,367,273,94,380,297,83,\"45-Greenhouse, cranberries, dairy products, sweet corn\"\n24,MI,\"3,507\",\"2,015\",1.492,\"3,390\",\"2,130\",\"1,260\",\"22-Dairy products, greenhouse, soybeans, corn\"\n25,MN.,\"7,537\",\"3,255\",\"4,283\",\"7,478\",\"3,833\",\"3,645\",\"7-Corn, soybeans, hogs, dairy products\"\n26,MS.,\"3,141\",865,\"2,276\",\"2,962\",\"1,013\",\"1,950\",\"28-Broilers, cotton, soybeans, aquaculture\"\n27,MO,\"4,723\",2.039,\"2,684\",\"4,402\",\"2,100\",\"2,302\",\"16-Soybeans, cattle, corn, hogs\"\n28,MT,\"1,760\",635,\"1,124\",\"1,687\",702,985,\"34-Cattle, wheat, hay, barley\"\n29,NE,\"9,221\",\"3,126\",\"6,095\",\"9,589\",\"3,764\",\"5,824\",\"4-Cattle, corn, soybeans, hogs\"\n30,NV,428,157,271,366,155,211,\"47-Cattle, hay, dairy products, onions\"\n31,NH,157,90,67,148,91,56,\"48-Greenhouse, dairy products, apples, cattle\"\n32,NJ,837,634,203,856,663,193,\"39-Greenhouse, horses/mules, blueberries, dairy products\"\n33,NM.,\"2,213\",543,\"1,670\",\"1,957\",575,\"1,382\",\"32-Dairy products, cattle, hay, greenhouse\"\n34,NY,3.391,\"1,169\",\"2,222\",\"3,104\",1.234,\"1,870\",\"25-Dairy products, greenhouse, hay, apples\"\n35,NC,\"7,585\",2.931,\"4,654\",\"6,603\",\"2,659\",\"3,944\",\"9-Hogs, broilers, greenhouse, tobacco\"\n36,ND .,\"2,938\",2.211,727,\"3,223\",\"2,499\",724,\"23-Wheat, cattle, soybeans, sugar beets\"\n37,OH,\"4,529\",\"2,669\",\"1,860\",\"4,276\",\"2,646\",\"1,630\",\"17-Soybeans, corn, greenhouse, dairy products\"\n38,OK.,\"3,937\",796,\"3,142\",\"3,731\",837,\"2,893\",\"21-Cattle, hogs, broilers, wheat\"\n39,OR,\"3,127\",\"2,302\",825,\"3,102\",\"2,294\",808,\"26-Greenhouse, cattle, dairy products, hay\"\n40,PA,4.514,\"1,366\",\"3,148\",\"4,042\",\"1,360\",\"2,682\",\"18-Dairy products, cattle, agaricus mushrooms, greenhouse\"\n41,RI.,48,40,8,46,40,6,\"50-Greenhouse, dairy products, sweet corn, potatoes\"\n42,SC,\"1,595\",713,883,\"1,452\",692,760,\"35-Broilers, greenhouse, turkeys, tobacco\"\n43,SD,\"3,897\",\"1,640\",\"2,257\",\"3,779\",\"1,720\",\"2,060\",\"|20-Cattle, corn, soybeans, hogs\"\n44,TN,\"2,118\",988,\"1,130\",\"2,000\",\"1,087\",913,\"31-Cattle, broilers, greenhouse, soybeans\"\n45,TX,\"13,509\",\"4,165\",\"9,345\",\"12,665\",\"4,577\",\"8,088\",\"2-Cattle, greenhouse, cotton, broilers\"\n46,UT,\"1,113\",257,855,\"1,057\",249,808,\"37-Cattle, dairy products, hay, hogs\"\n47,VT,558,67,490,476,76,400,\"42-Dairy products, cattle, greenhouse, maple products\"\n48,VA,\"2,457\",756,\"1,702\",\"2,173\",722,\"1,451\",\"30-Broilers, cattle, dairy products, greenhouse\"\n49,WA,\"5,200\",\"3,479\",\"1,721\",\"5,209\",\"3,714\",\"1,495\",\"11-Apples, dairy products, cattle, potatoes\"\n50,WV.,437,89,348,378,78,300,\"46-Broilers, cattle, dairy products, chicken eggs\"\n51,WI,\"5,761\",\"1,290\",\"4,471\",\"5,319\",\"1,551\",\"3,768\",\"10-Dairy products, cattle, corn, soybeans\"\n52,WY.,995,153,842,876,126,750,\"38-Cattle, hay, sugar beets, sheep/lambs\"\n` \\n\\nQuestion: `What is the total production of crops across all states in the US in the year 2002?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7\n0,State,2001,__,__,2002,__,__,__\n1,__,Total,Crops,Live- stock and prod- ucts,Total,Crops,Live- stock and prod- ucts,State rank for total farm marketings and four principal commodities in order of marketing receipts\n2,U.S.,\"199,779\",\"93,366\",\"106,413\",\"192,948\",\"99,468\",\"93,480\",\"Cattle, dairy products, corn, greenhouse\"\n3,AL .,\"3,448\",632,\"2,816\",\"2,962\",584,\"2,378\",\"|29-Broilers, cattle, chicken eggs, greenhouse\"\n4,AK,52,23,29,51,23,28,\"49-Greenhouse, dairy products, hay, potatoes\"\n5,AZ,\"2,601\",\"1,409\",\"1,192\",\"2,997\",\"1,903\",\"1,094\",\"27-Lettuce, cattle, dairy products, cotton\"\n6,AR,\"4,966\",\"1,450\",3.516,\"4,527\",\"1,575\",\"2,952\",\"14-Broilers, soybeans, cattle, rice\"\n7,CA,\"26,378\",\"19,035\",\"7,343\",\"26,107\",\"19,865\",\"6,242\",\"1-Dairy products, greenhouse, grapes, lettuce\"\n8,CO,\"4,719\",\"1,346\",\"3,373\",\"4,881\",\"1,379\",\"3,502\",\"12-Cattle, corn, dairy products, greenhouse\"\n9,CT,483,307,175,468,314,154,\"43-Greenhouse, dairy products, chicken eggs, aquaculture\"\n10,DE,845,187,659,724,177,546,\"40-Broilers, greenhouse, corn, soybeans\"\n11,FL,\"6,690\",\"5,288\",\"1,402\",\"6,848\",\"5,609\",\"1,239\",\"8-Greenhouse, oranges, sugar cane, tomatoes\"\n12,GA,\"5,274\",\"1,735\",\"3,539\",\"4,472\",\"1,582\",\"2,890\",\"15-Broilers, chicken eggs, cotton, cattle\"\n13,HI.,513,425,88,509,424,85,\"41-Pineapples, greenhouse, sugar cane, macadamia nuts\"\n14,ID,\"3,714\",\"1,652\",\"2,062\",\"3,934\",\"1,935\",\"1,999\",\"19-Cattle, dairy products, potatoes, wheat\"\n15,IL,\"7,308\",\"5,461\",\"1,846\",\"7,486\",\"5,924\",\"1,562\",\"6-Corn, soybeans, hogs, cattle\"\n16,IN,\"5,157\",\"3,290\",\"1,868\",\"4,800\",\"3,249\",\"1,551\",\"13-Corn, soybeans, hogs, dairy products\"\n17,IA,\"10,653\",\"4,728\",\"5,926\",\"10,834\",\"5,759\",\"5,075\",\"3-Corn, hogs, soybeans, cattle\"\n18,KS,\"7,979\",\"2,474\",\"5,505\",\"7,862\",\"2,536\",\"5,325\",\"5-Cattle, wheat, corn, soybeans\"\n19,KY,\"3,528\",\"1,265\",\"2,263\",\"3,112\",\"1,151\",\"1,961\",\"24-Horses/mules, tobacco, broilers, cattle\"\n20,LA,\"1,786\",\"1,084\",701,\"1,773\",\"1,159\",614,\"|33-Sugar cane, cotton, cattle, corn\"\n21,ME,490,217,273,442,212,230,\"44-Potatoes, dairy products, chicken eggs, aquaculture\"\n22,MD,\"1,596\",647,949,1.432,621,810,\"36-Broilers, greenhouse, dairy products, corn\"\n23,MA,367,273,94,380,297,83,\"45-Greenhouse, cranberries, dairy products, sweet corn\"\n24,MI,\"3,507\",\"2,015\",1.492,\"3,390\",\"2,130\",\"1,260\",\"22-Dairy products, greenhouse, soybeans, corn\"\n25,MN.,\"7,537\",\"3,255\",\"4,283\",\"7,478\",\"3,833\",\"3,645\",\"7-Corn, soybeans, hogs, dairy products\"\n26,MS.,\"3,141\",865,\"2,276\",\"2,962\",\"1,013\",\"1,950\",\"28-Broilers, cotton, soybeans, aquaculture\"\n27,MO,\"4,723\",2.039,\"2,684\",\"4,402\",\"2,100\",\"2,302\",\"16-Soybeans, cattle, corn, hogs\"\n28,MT,\"1,760\",635,\"1,124\",\"1,687\",702,985,\"34-Cattle, wheat, hay, barley\"\n29,NE,\"9,221\",\"3,126\",\"6,095\",\"9,589\",\"3,764\",\"5,824\",\"4-Cattle, corn, soybeans, hogs\"\n30,NV,428,157,271,366,155,211,\"47-Cattle, hay, dairy products, onions\"\n31,NH,157,90,67,148,91,56,\"48-Greenhouse, dairy products, apples, cattle\"\n32,NJ,837,634,203,856,663,193,\"39-Greenhouse, horses/mules, blueberries, dairy products\"\n33,NM.,\"2,213\",543,\"1,670\",\"1,957\",575,\"1,382\",\"32-Dairy products, cattle, hay, greenhouse\"\n34,NY,3.391,\"1,169\",\"2,222\",\"3,104\",1.234,\"1,870\",\"25-Dairy products, greenhouse, hay, apples\"\n35,NC,\"7,585\",2.931,\"4,654\",\"6,603\",\"2,659\",\"3,944\",\"9-Hogs, broilers, greenhouse, tobacco\"\n36,ND .,\"2,938\",2.211,727,\"3,223\",\"2,499\",724,\"23-Wheat, cattle, soybeans, sugar beets\"\n37,OH,\"4,529\",\"2,669\",\"1,860\",\"4,276\",\"2,646\",\"1,630\",\"17-Soybeans, corn, greenhouse, dairy products\"\n38,OK.,\"3,937\",796,\"3,142\",\"3,731\",837,\"2,893\",\"21-Cattle, hogs, broilers, wheat\"\n39,OR,\"3,127\",\"2,302\",825,\"3,102\",\"2,294\",808,\"26-Greenhouse, cattle, dairy products, hay\"\n40,PA,4.514,\"1,366\",\"3,148\",\"4,042\",\"1,360\",\"2,682\",\"18-Dairy products, cattle, agaricus mushrooms, greenhouse\"\n41,RI.,48,40,8,46,40,6,\"50-Greenhouse, dairy products, sweet corn, potatoes\"\n42,SC,\"1,595\",713,883,\"1,452\",692,760,\"35-Broilers, greenhouse, turkeys, tobacco\"\n43,SD,\"3,897\",\"1,640\",\"2,257\",\"3,779\",\"1,720\",\"2,060\",\"|20-Cattle, corn, soybeans, hogs\"\n44,TN,\"2,118\",988,\"1,130\",\"2,000\",\"1,087\",913,\"31-Cattle, broilers, greenhouse, soybeans\"\n45,TX,\"13,509\",\"4,165\",\"9,345\",\"12,665\",\"4,577\",\"8,088\",\"2-Cattle, greenhouse, cotton, broilers\"\n46,UT,\"1,113\",257,855,\"1,057\",249,808,\"37-Cattle, dairy products, hay, hogs\"\n47,VT,558,67,490,476,76,400,\"42-Dairy products, cattle, greenhouse, maple products\"\n48,VA,\"2,457\",756,\"1,702\",\"2,173\",722,\"1,451\",\"30-Broilers, cattle, dairy products, greenhouse\"\n49,WA,\"5,200\",\"3,479\",\"1,721\",\"5,209\",\"3,714\",\"1,495\",\"11-Apples, dairy products, cattle, potatoes\"\n50,WV.,437,89,348,378,78,300,\"46-Broilers, cattle, dairy products, chicken eggs\"\n51,WI,\"5,761\",\"1,290\",\"4,471\",\"5,319\",\"1,551\",\"3,768\",\"10-Dairy products, cattle, corn, soybeans\"\n52,WY.,995,153,842,876,126,750,\"38-Cattle, hay, sugar beets, sheep/lambs\"\n` \\n\\nQuestion: `What is the total production of crops across all states in the US in the year 2002?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
census--5--2568
|
./tables/csvs/census--5--2568.csv
|
./tables/images/census--5--2568.jpg
|
,0,1,2,3,4,5,6,7
0,State,2001,__,__,2002,__,__,__
1,__,Total,Crops,Live- stock and prod- ucts,Total,Crops,Live- stock and prod- ucts,State rank for total farm marketings and four principal commodities in order of marketing receipts
2,U.S.,"199,779","93,366","106,413","192,948","99,468","93,480","Cattle, dairy products, corn, greenhouse"
3,AL .,"3,448",632,"2,816","2,962",584,"2,378","|29-Broilers, cattle, chicken eggs, greenhouse"
4,AK,52,23,29,51,23,28,"49-Greenhouse, dairy products, hay, potatoes"
5,AZ,"2,601","1,409","1,192","2,997","1,903","1,094","27-Lettuce, cattle, dairy products, cotton"
6,AR,"4,966","1,450",3.516,"4,527","1,575","2,952","14-Broilers, soybeans, cattle, rice"
7,CA,"26,378","19,035","7,343","26,107","19,865","6,242","1-Dairy products, greenhouse, grapes, lettuce"
8,CO,"4,719","1,346","3,373","4,881","1,379","3,502","12-Cattle, corn, dairy products, greenhouse"
9,CT,483,307,175,468,314,154,"43-Greenhouse, dairy products, chicken eggs, aquaculture"
10,DE,845,187,659,724,177,546,"40-Broilers, greenhouse, corn, soybeans"
11,FL,"6,690","5,288","1,402","6,848","5,609","1,239","8-Greenhouse, oranges, sugar cane, tomatoes"
12,GA,"5,274","1,735","3,539","4,472","1,582","2,890","15-Broilers, chicken eggs, cotton, cattle"
13,HI.,513,425,88,509,424,85,"41-Pineapples, greenhouse, sugar cane, macadamia nuts"
14,ID,"3,714","1,652","2,062","3,934","1,935","1,999","19-Cattle, dairy products, potatoes, wheat"
15,IL,"7,308","5,461","1,846","7,486","5,924","1,562","6-Corn, soybeans, hogs, cattle"
16,IN,"5,157","3,290","1,868","4,800","3,249","1,551","13-Corn, soybeans, hogs, dairy products"
17,IA,"10,653","4,728","5,926","10,834","5,759","5,075","3-Corn, hogs, soybeans, cattle"
18,KS,"7,979","2,474","5,505","7,862","2,536","5,325","5-Cattle, wheat, corn, soybeans"
19,KY,"3,528","1,265","2,263","3,112","1,151","1,961","24-Horses/mules, tobacco, broilers, cattle"
20,LA,"1,786","1,084",701,"1,773","1,159",614,"|33-Sugar cane, cotton, cattle, corn"
21,ME,490,217,273,442,212,230,"44-Potatoes, dairy products, chicken eggs, aquaculture"
22,MD,"1,596",647,949,1.432,621,810,"36-Broilers, greenhouse, dairy products, corn"
23,MA,367,273,94,380,297,83,"45-Greenhouse, cranberries, dairy products, sweet corn"
24,MI,"3,507","2,015",1.492,"3,390","2,130","1,260","22-Dairy products, greenhouse, soybeans, corn"
25,MN.,"7,537","3,255","4,283","7,478","3,833","3,645","7-Corn, soybeans, hogs, dairy products"
26,MS.,"3,141",865,"2,276","2,962","1,013","1,950","28-Broilers, cotton, soybeans, aquaculture"
27,MO,"4,723",2.039,"2,684","4,402","2,100","2,302","16-Soybeans, cattle, corn, hogs"
28,MT,"1,760",635,"1,124","1,687",702,985,"34-Cattle, wheat, hay, barley"
29,NE,"9,221","3,126","6,095","9,589","3,764","5,824","4-Cattle, corn, soybeans, hogs"
30,NV,428,157,271,366,155,211,"47-Cattle, hay, dairy products, onions"
31,NH,157,90,67,148,91,56,"48-Greenhouse, dairy products, apples, cattle"
32,NJ,837,634,203,856,663,193,"39-Greenhouse, horses/mules, blueberries, dairy products"
33,NM.,"2,213",543,"1,670","1,957",575,"1,382","32-Dairy products, cattle, hay, greenhouse"
34,NY,3.391,"1,169","2,222","3,104",1.234,"1,870","25-Dairy products, greenhouse, hay, apples"
35,NC,"7,585",2.931,"4,654","6,603","2,659","3,944","9-Hogs, broilers, greenhouse, tobacco"
36,ND .,"2,938",2.211,727,"3,223","2,499",724,"23-Wheat, cattle, soybeans, sugar beets"
37,OH,"4,529","2,669","1,860","4,276","2,646","1,630","17-Soybeans, corn, greenhouse, dairy products"
38,OK.,"3,937",796,"3,142","3,731",837,"2,893","21-Cattle, hogs, broilers, wheat"
39,OR,"3,127","2,302",825,"3,102","2,294",808,"26-Greenhouse, cattle, dairy products, hay"
40,PA,4.514,"1,366","3,148","4,042","1,360","2,682","18-Dairy products, cattle, agaricus mushrooms, greenhouse"
41,RI.,48,40,8,46,40,6,"50-Greenhouse, dairy products, sweet corn, potatoes"
42,SC,"1,595",713,883,"1,452",692,760,"35-Broilers, greenhouse, turkeys, tobacco"
43,SD,"3,897","1,640","2,257","3,779","1,720","2,060","|20-Cattle, corn, soybeans, hogs"
44,TN,"2,118",988,"1,130","2,000","1,087",913,"31-Cattle, broilers, greenhouse, soybeans"
45,TX,"13,509","4,165","9,345","12,665","4,577","8,088","2-Cattle, greenhouse, cotton, broilers"
46,UT,"1,113",257,855,"1,057",249,808,"37-Cattle, dairy products, hay, hogs"
47,VT,558,67,490,476,76,400,"42-Dairy products, cattle, greenhouse, maple products"
48,VA,"2,457",756,"1,702","2,173",722,"1,451","30-Broilers, cattle, dairy products, greenhouse"
49,WA,"5,200","3,479","1,721","5,209","3,714","1,495","11-Apples, dairy products, cattle, potatoes"
50,WV.,437,89,348,378,78,300,"46-Broilers, cattle, dairy products, chicken eggs"
51,WI,"5,761","1,290","4,471","5,319","1,551","3,768","10-Dairy products, cattle, corn, soybeans"
52,WY.,995,153,842,876,126,750,"38-Cattle, hay, sugar beets, sheep/lambs"
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": true, "Column Aggregation": true, "Global Column Aggregation": false, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": true, "Split Header Cell": false, "Row Group Label": false}
|
census--5--2568--M0
|
Rank the US states by crop production level in 2001 and report the top 3?
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "", "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "", "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": "2", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": "", "Rank": true, "Rank Rank On Plain": true, "Rank Rank On Expression": false, "Rank Report Top": "3"}
|
{CA | 19035} || {IL | 5461} || {FL | 5288}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7\n0,State,2001,__,__,2002,__,__,__\n1,__,Total,Crops,Live- stock and prod- ucts,Total,Crops,Live- stock and prod- ucts,State rank for total farm marketings and four principal commodities in order of marketing receipts\n2,U.S.,\"199,779\",\"93,366\",\"106,413\",\"192,948\",\"99,468\",\"93,480\",\"Cattle, dairy products, corn, greenhouse\"\n3,AL .,\"3,448\",632,\"2,816\",\"2,962\",584,\"2,378\",\"|29-Broilers, cattle, chicken eggs, greenhouse\"\n4,AK,52,23,29,51,23,28,\"49-Greenhouse, dairy products, hay, potatoes\"\n5,AZ,\"2,601\",\"1,409\",\"1,192\",\"2,997\",\"1,903\",\"1,094\",\"27-Lettuce, cattle, dairy products, cotton\"\n6,AR,\"4,966\",\"1,450\",3.516,\"4,527\",\"1,575\",\"2,952\",\"14-Broilers, soybeans, cattle, rice\"\n7,CA,\"26,378\",\"19,035\",\"7,343\",\"26,107\",\"19,865\",\"6,242\",\"1-Dairy products, greenhouse, grapes, lettuce\"\n8,CO,\"4,719\",\"1,346\",\"3,373\",\"4,881\",\"1,379\",\"3,502\",\"12-Cattle, corn, dairy products, greenhouse\"\n9,CT,483,307,175,468,314,154,\"43-Greenhouse, dairy products, chicken eggs, aquaculture\"\n10,DE,845,187,659,724,177,546,\"40-Broilers, greenhouse, corn, soybeans\"\n11,FL,\"6,690\",\"5,288\",\"1,402\",\"6,848\",\"5,609\",\"1,239\",\"8-Greenhouse, oranges, sugar cane, tomatoes\"\n12,GA,\"5,274\",\"1,735\",\"3,539\",\"4,472\",\"1,582\",\"2,890\",\"15-Broilers, chicken eggs, cotton, cattle\"\n13,HI.,513,425,88,509,424,85,\"41-Pineapples, greenhouse, sugar cane, macadamia nuts\"\n14,ID,\"3,714\",\"1,652\",\"2,062\",\"3,934\",\"1,935\",\"1,999\",\"19-Cattle, dairy products, potatoes, wheat\"\n15,IL,\"7,308\",\"5,461\",\"1,846\",\"7,486\",\"5,924\",\"1,562\",\"6-Corn, soybeans, hogs, cattle\"\n16,IN,\"5,157\",\"3,290\",\"1,868\",\"4,800\",\"3,249\",\"1,551\",\"13-Corn, soybeans, hogs, dairy products\"\n17,IA,\"10,653\",\"4,728\",\"5,926\",\"10,834\",\"5,759\",\"5,075\",\"3-Corn, hogs, soybeans, cattle\"\n18,KS,\"7,979\",\"2,474\",\"5,505\",\"7,862\",\"2,536\",\"5,325\",\"5-Cattle, wheat, corn, soybeans\"\n19,KY,\"3,528\",\"1,265\",\"2,263\",\"3,112\",\"1,151\",\"1,961\",\"24-Horses/mules, tobacco, broilers, cattle\"\n20,LA,\"1,786\",\"1,084\",701,\"1,773\",\"1,159\",614,\"|33-Sugar cane, cotton, cattle, corn\"\n21,ME,490,217,273,442,212,230,\"44-Potatoes, dairy products, chicken eggs, aquaculture\"\n22,MD,\"1,596\",647,949,1.432,621,810,\"36-Broilers, greenhouse, dairy products, corn\"\n23,MA,367,273,94,380,297,83,\"45-Greenhouse, cranberries, dairy products, sweet corn\"\n24,MI,\"3,507\",\"2,015\",1.492,\"3,390\",\"2,130\",\"1,260\",\"22-Dairy products, greenhouse, soybeans, corn\"\n25,MN.,\"7,537\",\"3,255\",\"4,283\",\"7,478\",\"3,833\",\"3,645\",\"7-Corn, soybeans, hogs, dairy products\"\n26,MS.,\"3,141\",865,\"2,276\",\"2,962\",\"1,013\",\"1,950\",\"28-Broilers, cotton, soybeans, aquaculture\"\n27,MO,\"4,723\",2.039,\"2,684\",\"4,402\",\"2,100\",\"2,302\",\"16-Soybeans, cattle, corn, hogs\"\n28,MT,\"1,760\",635,\"1,124\",\"1,687\",702,985,\"34-Cattle, wheat, hay, barley\"\n29,NE,\"9,221\",\"3,126\",\"6,095\",\"9,589\",\"3,764\",\"5,824\",\"4-Cattle, corn, soybeans, hogs\"\n30,NV,428,157,271,366,155,211,\"47-Cattle, hay, dairy products, onions\"\n31,NH,157,90,67,148,91,56,\"48-Greenhouse, dairy products, apples, cattle\"\n32,NJ,837,634,203,856,663,193,\"39-Greenhouse, horses/mules, blueberries, dairy products\"\n33,NM.,\"2,213\",543,\"1,670\",\"1,957\",575,\"1,382\",\"32-Dairy products, cattle, hay, greenhouse\"\n34,NY,3.391,\"1,169\",\"2,222\",\"3,104\",1.234,\"1,870\",\"25-Dairy products, greenhouse, hay, apples\"\n35,NC,\"7,585\",2.931,\"4,654\",\"6,603\",\"2,659\",\"3,944\",\"9-Hogs, broilers, greenhouse, tobacco\"\n36,ND .,\"2,938\",2.211,727,\"3,223\",\"2,499\",724,\"23-Wheat, cattle, soybeans, sugar beets\"\n37,OH,\"4,529\",\"2,669\",\"1,860\",\"4,276\",\"2,646\",\"1,630\",\"17-Soybeans, corn, greenhouse, dairy products\"\n38,OK.,\"3,937\",796,\"3,142\",\"3,731\",837,\"2,893\",\"21-Cattle, hogs, broilers, wheat\"\n39,OR,\"3,127\",\"2,302\",825,\"3,102\",\"2,294\",808,\"26-Greenhouse, cattle, dairy products, hay\"\n40,PA,4.514,\"1,366\",\"3,148\",\"4,042\",\"1,360\",\"2,682\",\"18-Dairy products, cattle, agaricus mushrooms, greenhouse\"\n41,RI.,48,40,8,46,40,6,\"50-Greenhouse, dairy products, sweet corn, potatoes\"\n42,SC,\"1,595\",713,883,\"1,452\",692,760,\"35-Broilers, greenhouse, turkeys, tobacco\"\n43,SD,\"3,897\",\"1,640\",\"2,257\",\"3,779\",\"1,720\",\"2,060\",\"|20-Cattle, corn, soybeans, hogs\"\n44,TN,\"2,118\",988,\"1,130\",\"2,000\",\"1,087\",913,\"31-Cattle, broilers, greenhouse, soybeans\"\n45,TX,\"13,509\",\"4,165\",\"9,345\",\"12,665\",\"4,577\",\"8,088\",\"2-Cattle, greenhouse, cotton, broilers\"\n46,UT,\"1,113\",257,855,\"1,057\",249,808,\"37-Cattle, dairy products, hay, hogs\"\n47,VT,558,67,490,476,76,400,\"42-Dairy products, cattle, greenhouse, maple products\"\n48,VA,\"2,457\",756,\"1,702\",\"2,173\",722,\"1,451\",\"30-Broilers, cattle, dairy products, greenhouse\"\n49,WA,\"5,200\",\"3,479\",\"1,721\",\"5,209\",\"3,714\",\"1,495\",\"11-Apples, dairy products, cattle, potatoes\"\n50,WV.,437,89,348,378,78,300,\"46-Broilers, cattle, dairy products, chicken eggs\"\n51,WI,\"5,761\",\"1,290\",\"4,471\",\"5,319\",\"1,551\",\"3,768\",\"10-Dairy products, cattle, corn, soybeans\"\n52,WY.,995,153,842,876,126,750,\"38-Cattle, hay, sugar beets, sheep/lambs\"\n` \\n\\nQuestion: `Rank the US states by crop production level in 2001 and report the top 3?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7\n0,State,2001,__,__,2002,__,__,__\n1,__,Total,Crops,Live- stock and prod- ucts,Total,Crops,Live- stock and prod- ucts,State rank for total farm marketings and four principal commodities in order of marketing receipts\n2,U.S.,\"199,779\",\"93,366\",\"106,413\",\"192,948\",\"99,468\",\"93,480\",\"Cattle, dairy products, corn, greenhouse\"\n3,AL .,\"3,448\",632,\"2,816\",\"2,962\",584,\"2,378\",\"|29-Broilers, cattle, chicken eggs, greenhouse\"\n4,AK,52,23,29,51,23,28,\"49-Greenhouse, dairy products, hay, potatoes\"\n5,AZ,\"2,601\",\"1,409\",\"1,192\",\"2,997\",\"1,903\",\"1,094\",\"27-Lettuce, cattle, dairy products, cotton\"\n6,AR,\"4,966\",\"1,450\",3.516,\"4,527\",\"1,575\",\"2,952\",\"14-Broilers, soybeans, cattle, rice\"\n7,CA,\"26,378\",\"19,035\",\"7,343\",\"26,107\",\"19,865\",\"6,242\",\"1-Dairy products, greenhouse, grapes, lettuce\"\n8,CO,\"4,719\",\"1,346\",\"3,373\",\"4,881\",\"1,379\",\"3,502\",\"12-Cattle, corn, dairy products, greenhouse\"\n9,CT,483,307,175,468,314,154,\"43-Greenhouse, dairy products, chicken eggs, aquaculture\"\n10,DE,845,187,659,724,177,546,\"40-Broilers, greenhouse, corn, soybeans\"\n11,FL,\"6,690\",\"5,288\",\"1,402\",\"6,848\",\"5,609\",\"1,239\",\"8-Greenhouse, oranges, sugar cane, tomatoes\"\n12,GA,\"5,274\",\"1,735\",\"3,539\",\"4,472\",\"1,582\",\"2,890\",\"15-Broilers, chicken eggs, cotton, cattle\"\n13,HI.,513,425,88,509,424,85,\"41-Pineapples, greenhouse, sugar cane, macadamia nuts\"\n14,ID,\"3,714\",\"1,652\",\"2,062\",\"3,934\",\"1,935\",\"1,999\",\"19-Cattle, dairy products, potatoes, wheat\"\n15,IL,\"7,308\",\"5,461\",\"1,846\",\"7,486\",\"5,924\",\"1,562\",\"6-Corn, soybeans, hogs, cattle\"\n16,IN,\"5,157\",\"3,290\",\"1,868\",\"4,800\",\"3,249\",\"1,551\",\"13-Corn, soybeans, hogs, dairy products\"\n17,IA,\"10,653\",\"4,728\",\"5,926\",\"10,834\",\"5,759\",\"5,075\",\"3-Corn, hogs, soybeans, cattle\"\n18,KS,\"7,979\",\"2,474\",\"5,505\",\"7,862\",\"2,536\",\"5,325\",\"5-Cattle, wheat, corn, soybeans\"\n19,KY,\"3,528\",\"1,265\",\"2,263\",\"3,112\",\"1,151\",\"1,961\",\"24-Horses/mules, tobacco, broilers, cattle\"\n20,LA,\"1,786\",\"1,084\",701,\"1,773\",\"1,159\",614,\"|33-Sugar cane, cotton, cattle, corn\"\n21,ME,490,217,273,442,212,230,\"44-Potatoes, dairy products, chicken eggs, aquaculture\"\n22,MD,\"1,596\",647,949,1.432,621,810,\"36-Broilers, greenhouse, dairy products, corn\"\n23,MA,367,273,94,380,297,83,\"45-Greenhouse, cranberries, dairy products, sweet corn\"\n24,MI,\"3,507\",\"2,015\",1.492,\"3,390\",\"2,130\",\"1,260\",\"22-Dairy products, greenhouse, soybeans, corn\"\n25,MN.,\"7,537\",\"3,255\",\"4,283\",\"7,478\",\"3,833\",\"3,645\",\"7-Corn, soybeans, hogs, dairy products\"\n26,MS.,\"3,141\",865,\"2,276\",\"2,962\",\"1,013\",\"1,950\",\"28-Broilers, cotton, soybeans, aquaculture\"\n27,MO,\"4,723\",2.039,\"2,684\",\"4,402\",\"2,100\",\"2,302\",\"16-Soybeans, cattle, corn, hogs\"\n28,MT,\"1,760\",635,\"1,124\",\"1,687\",702,985,\"34-Cattle, wheat, hay, barley\"\n29,NE,\"9,221\",\"3,126\",\"6,095\",\"9,589\",\"3,764\",\"5,824\",\"4-Cattle, corn, soybeans, hogs\"\n30,NV,428,157,271,366,155,211,\"47-Cattle, hay, dairy products, onions\"\n31,NH,157,90,67,148,91,56,\"48-Greenhouse, dairy products, apples, cattle\"\n32,NJ,837,634,203,856,663,193,\"39-Greenhouse, horses/mules, blueberries, dairy products\"\n33,NM.,\"2,213\",543,\"1,670\",\"1,957\",575,\"1,382\",\"32-Dairy products, cattle, hay, greenhouse\"\n34,NY,3.391,\"1,169\",\"2,222\",\"3,104\",1.234,\"1,870\",\"25-Dairy products, greenhouse, hay, apples\"\n35,NC,\"7,585\",2.931,\"4,654\",\"6,603\",\"2,659\",\"3,944\",\"9-Hogs, broilers, greenhouse, tobacco\"\n36,ND .,\"2,938\",2.211,727,\"3,223\",\"2,499\",724,\"23-Wheat, cattle, soybeans, sugar beets\"\n37,OH,\"4,529\",\"2,669\",\"1,860\",\"4,276\",\"2,646\",\"1,630\",\"17-Soybeans, corn, greenhouse, dairy products\"\n38,OK.,\"3,937\",796,\"3,142\",\"3,731\",837,\"2,893\",\"21-Cattle, hogs, broilers, wheat\"\n39,OR,\"3,127\",\"2,302\",825,\"3,102\",\"2,294\",808,\"26-Greenhouse, cattle, dairy products, hay\"\n40,PA,4.514,\"1,366\",\"3,148\",\"4,042\",\"1,360\",\"2,682\",\"18-Dairy products, cattle, agaricus mushrooms, greenhouse\"\n41,RI.,48,40,8,46,40,6,\"50-Greenhouse, dairy products, sweet corn, potatoes\"\n42,SC,\"1,595\",713,883,\"1,452\",692,760,\"35-Broilers, greenhouse, turkeys, tobacco\"\n43,SD,\"3,897\",\"1,640\",\"2,257\",\"3,779\",\"1,720\",\"2,060\",\"|20-Cattle, corn, soybeans, hogs\"\n44,TN,\"2,118\",988,\"1,130\",\"2,000\",\"1,087\",913,\"31-Cattle, broilers, greenhouse, soybeans\"\n45,TX,\"13,509\",\"4,165\",\"9,345\",\"12,665\",\"4,577\",\"8,088\",\"2-Cattle, greenhouse, cotton, broilers\"\n46,UT,\"1,113\",257,855,\"1,057\",249,808,\"37-Cattle, dairy products, hay, hogs\"\n47,VT,558,67,490,476,76,400,\"42-Dairy products, cattle, greenhouse, maple products\"\n48,VA,\"2,457\",756,\"1,702\",\"2,173\",722,\"1,451\",\"30-Broilers, cattle, dairy products, greenhouse\"\n49,WA,\"5,200\",\"3,479\",\"1,721\",\"5,209\",\"3,714\",\"1,495\",\"11-Apples, dairy products, cattle, potatoes\"\n50,WV.,437,89,348,378,78,300,\"46-Broilers, cattle, dairy products, chicken eggs\"\n51,WI,\"5,761\",\"1,290\",\"4,471\",\"5,319\",\"1,551\",\"3,768\",\"10-Dairy products, cattle, corn, soybeans\"\n52,WY.,995,153,842,876,126,750,\"38-Cattle, hay, sugar beets, sheep/lambs\"\n` \\n\\nQuestion: `Rank the US states by crop production level in 2001 and report the top 3?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
arxiv--21--9660
|
./tables/csvs/arxiv--21--9660.csv
|
./tables/images/arxiv--21--9660.jpg
|
,0,1,2,3,4,5,6,7
0,Data,Weight,Name,0.4,0.5,0.6,0.7,0.8
1,SIFT,Binary,ONIAK,0.309,0.406,0.49,0.606,0.709
2,__,__,SL-ALSH,0.25,0.33,0.41,0.52,0.64
3,__,Unif.,ONIAK,0.275,0.366,0.458,0.574,0.659
4,__,__,SL-ALSH,0.16,0.21,0.28,0.365,0.49
5,Deep,Binary,ONIAK,0.347,0.43,0.52,0.601,0.714
6,__,__,SL-ALSH,0.29,0.38,0.47,0.575,0.67
7,__,Unif.,ONIAK,0.291,0.383,0.466,0.554,0.661
8,__,__,SL-ALSH,0.235,0.31,0.395,0.495,0.605
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
arxiv--21--9660--M0
|
For each of the Datasets "SIFT" and "Deep", report the minimum value for recall 0.5 across all Weights and Names
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "", "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "", "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": "1", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": true, "Aggregation Aggregation On Plain": true, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": true, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": true, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": true, "Aggregation Num Of Aggregations": "1", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
{0.210} || {0.310}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7\n0,Data,Weight,Name,0.4,0.5,0.6,0.7,0.8\n1,SIFT,Binary,ONIAK,0.309,0.406,0.49,0.606,0.709\n2,__,__,SL-ALSH,0.25,0.33,0.41,0.52,0.64\n3,__,Unif.,ONIAK,0.275,0.366,0.458,0.574,0.659\n4,__,__,SL-ALSH,0.16,0.21,0.28,0.365,0.49\n5,Deep,Binary,ONIAK,0.347,0.43,0.52,0.601,0.714\n6,__,__,SL-ALSH,0.29,0.38,0.47,0.575,0.67\n7,__,Unif.,ONIAK,0.291,0.383,0.466,0.554,0.661\n8,__,__,SL-ALSH,0.235,0.31,0.395,0.495,0.605\n` \\n\\nQuestion: `For each of the Datasets \"SIFT\" and \"Deep\", report the minimum value for recall 0.5 across all Weights and Names`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7\n0,Data,Weight,Name,0.4,0.5,0.6,0.7,0.8\n1,SIFT,Binary,ONIAK,0.309,0.406,0.49,0.606,0.709\n2,__,__,SL-ALSH,0.25,0.33,0.41,0.52,0.64\n3,__,Unif.,ONIAK,0.275,0.366,0.458,0.574,0.659\n4,__,__,SL-ALSH,0.16,0.21,0.28,0.365,0.49\n5,Deep,Binary,ONIAK,0.347,0.43,0.52,0.601,0.714\n6,__,__,SL-ALSH,0.29,0.38,0.47,0.575,0.67\n7,__,Unif.,ONIAK,0.291,0.383,0.466,0.554,0.661\n8,__,__,SL-ALSH,0.235,0.31,0.395,0.495,0.605\n` \\n\\nQuestion: `For each of the Datasets \"SIFT\" and \"Deep\", report the minimum value for recall 0.5 across all Weights and Names`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
arxiv--21--9660
|
./tables/csvs/arxiv--21--9660.csv
|
./tables/images/arxiv--21--9660.jpg
|
,0,1,2,3,4,5,6,7
0,Data,Weight,Name,0.4,0.5,0.6,0.7,0.8
1,SIFT,Binary,ONIAK,0.309,0.406,0.49,0.606,0.709
2,__,__,SL-ALSH,0.25,0.33,0.41,0.52,0.64
3,__,Unif.,ONIAK,0.275,0.366,0.458,0.574,0.659
4,__,__,SL-ALSH,0.16,0.21,0.28,0.365,0.49
5,Deep,Binary,ONIAK,0.347,0.43,0.52,0.601,0.714
6,__,__,SL-ALSH,0.29,0.38,0.47,0.575,0.67
7,__,Unif.,ONIAK,0.291,0.383,0.466,0.554,0.661
8,__,__,SL-ALSH,0.235,0.31,0.395,0.495,0.605
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
arxiv--21--9660--M1
|
What is the Name and Weight corresponding to selectivity value 0.330 under Recall 0.5
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": true, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "1", "Row Filter Retained Rows Single": true, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "1", "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": "1", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": "2", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": "", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
{SL-ALSH | Binary}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7\n0,Data,Weight,Name,0.4,0.5,0.6,0.7,0.8\n1,SIFT,Binary,ONIAK,0.309,0.406,0.49,0.606,0.709\n2,__,__,SL-ALSH,0.25,0.33,0.41,0.52,0.64\n3,__,Unif.,ONIAK,0.275,0.366,0.458,0.574,0.659\n4,__,__,SL-ALSH,0.16,0.21,0.28,0.365,0.49\n5,Deep,Binary,ONIAK,0.347,0.43,0.52,0.601,0.714\n6,__,__,SL-ALSH,0.29,0.38,0.47,0.575,0.67\n7,__,Unif.,ONIAK,0.291,0.383,0.466,0.554,0.661\n8,__,__,SL-ALSH,0.235,0.31,0.395,0.495,0.605\n` \\n\\nQuestion: `What is the Name and Weight corresponding to selectivity value 0.330 under Recall 0.5`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7\n0,Data,Weight,Name,0.4,0.5,0.6,0.7,0.8\n1,SIFT,Binary,ONIAK,0.309,0.406,0.49,0.606,0.709\n2,__,__,SL-ALSH,0.25,0.33,0.41,0.52,0.64\n3,__,Unif.,ONIAK,0.275,0.366,0.458,0.574,0.659\n4,__,__,SL-ALSH,0.16,0.21,0.28,0.365,0.49\n5,Deep,Binary,ONIAK,0.347,0.43,0.52,0.601,0.714\n6,__,__,SL-ALSH,0.29,0.38,0.47,0.575,0.67\n7,__,Unif.,ONIAK,0.291,0.383,0.466,0.554,0.661\n8,__,__,SL-ALSH,0.235,0.31,0.395,0.495,0.605\n` \\n\\nQuestion: `What is the Name and Weight corresponding to selectivity value 0.330 under Recall 0.5`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
psa--4--604
|
./tables/csvs/psa--4--604.csv
|
./tables/images/psa--4--604.jpg
|
,0,1,2,3,4,5,6,7,8,9,10,11
0,Country of Registration,Number & Tonnage,Type of Vessel,__,__,__,__,__,__,__,__,__
1,__,__,Total,Others,Passengers Vessels,Vehicles Vessels,Live Sheep,Loose Materials,Containers,Generasl goods,Gas Tankers,Oil Tankers
2,INDIA,No. of Vessels,3,0,0,0,0,0,3,0,0,0
3,__,Gross Tonnage,76107,0,0,0,0,0,76107,0,0,0
4,__,Net Tonnage,38199,0,0,0,0,0,38199,0,0,0
5,HONG KONG,No. of Vessels,53,0,0,1,0,6,32,14,0,0
6,__,Gross Tonnage,3238977,0,0,9235,0,180343,2813882,235517,0,0
7,__,Net Tonnage,1896386,0,0,3695,0,107579,1661925,123187,0,0
8,JAPAN,No. of Vessels,27,0,0,18,0,0,0,6,0,3
9,__,Gross Tonnage,1284980,0,0,1142349,0,0,0,134012,0,8619
10,__,Net Tonnage,398803,0,0,353439,0,0,0,42778,0,2586
11,TANZANIA,No. of Vessels,8,0,0,0,0,0,0,8,0,0
12,__,Gross Tonnage,3925,0,0,0,0,0,0,3925,0,0
13,__,Net Tonnage,2411,0,0,0,0,0,0,2411,0,0
14,TOGO,No. of Vessels,14,1,0,0,0,0,0,7,0,6
15,__,Gross Tonnage,50405,2924,0,0,0,0,0,30243,0,17238
16,__,Net Tonnage,23616,1468,0,0,0,0,0,16976,0,5172
17,LIBERIA,No. of Vessels,293,8,0,9,0,2,258,16,0,0
18,__,Gross Tonnage,12293874,41169,0,484095,0,65832,11376337,326441,0,0
19,__,Net Tonnage,6478278,19262,0,150863,0,38630,6137202,132321,0,0
20,GERMANY,No. of Vessels,14,0,0,0,0,0,13,0,0,1
21,__,Gross Tonnage,1202341,0,0,0,0,0,1091092,0,0,111249
22,__,Net Tonnage,653804,0,0,0,0,0,597960,0,0,55844
23,ITALY,No. of Vessels,1,1,0,0,0,0,0,0,0,0
24,__,Gross Tonnage,6700,6700,0,0,0,0,,0,0,0
25,__,Net Tonnage,6700,6700,0,0,0,0,0,0,0,0
26,PORTUGAL,No. of Vessels,29,1,0,0,0,0,27,1,0,0
27,__,Gross Tonnage,1361075,15549,0,0,0,0,1338274,7252,0,0
28,__,Net Tonnage,831139,6089,0,0,0,0,822068,2982,0,0
29,DENMARK,No. of Vessels,17,0,0,0,0,0,15,2,0,0
30,__,Gross Tonnage,733995,0,0,0,0,0,731820,2175,0,0
31,__,Net Tonnage,253648,0,0,0,0,0,252480,1168,0,0
32,FRANCE,No. of Vessels,4,0,0,0,0,0,4,0,0,0
33,__,Gross Tonnage,431405,0,0,0,0,0,431405,0,0,0
34,__,Net Tonnage,200436,0,0,0,0,0,200436,0,0,0
35,LUXEMBOURG,No. of Vessels,13,0,0,0,0,0,13,0,0,0
36,__,Gross Tonnage,238654,0,0,0,0,0,238654,0,0,0
37,__,Net Tonnage,134342,0,0,0,0,0,134342,0,0,0
38,MALTA,No. of Vessels,91,3,0,1,0,3,84,0,0,0
39,__,Gross Tonnage,4457291,7101,0,61321,0,85294,4303575,0,0,0
40,__,Net Tonnage,2028597,2130,0,23567,0,46387,1956513,0,0,0
41,UNITED KINGDOM,No. of Vessels,23,0,0,2,0,0,19,2,0,0
42,__,Gross Tonnage,1484852,0,0,120473,0,0,1351185,13194,0,0
43,__,Net Tonnage,793988,0,0,36783,0,0,751211,5994,0,0
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": true, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false, "Row Nesting": true}
|
psa--4--604--A1
|
What was the Gross Tonnage, Net Tonnage, and number of Passenger Vessels for the countries India, Hong Kong, and Japan?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": false, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": 3, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{76107} || {38199} || {0} || {3238977} || {1896386} || {0} || {1284980} || {398803} || {0}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10,11\n0,Country of Registration,Number & Tonnage,Type of Vessel,__,__,__,__,__,__,__,__,__\n1,__,__,Total,Others,Passengers Vessels,Vehicles Vessels,Live Sheep,Loose Materials,Containers,Generasl goods,Gas Tankers,Oil Tankers\n2,INDIA,No. of Vessels,3,0,0,0,0,0,3,0,0,0\n3,__,Gross Tonnage,76107,0,0,0,0,0,76107,0,0,0\n4,__,Net Tonnage,38199,0,0,0,0,0,38199,0,0,0\n5,HONG KONG,No. of Vessels,53,0,0,1,0,6,32,14,0,0\n6,__,Gross Tonnage,3238977,0,0,9235,0,180343,2813882,235517,0,0\n7,__,Net Tonnage,1896386,0,0,3695,0,107579,1661925,123187,0,0\n8,JAPAN,No. of Vessels,27,0,0,18,0,0,0,6,0,3\n9,__,Gross Tonnage,1284980,0,0,1142349,0,0,0,134012,0,8619\n10,__,Net Tonnage,398803,0,0,353439,0,0,0,42778,0,2586\n11,TANZANIA,No. of Vessels,8,0,0,0,0,0,0,8,0,0\n12,__,Gross Tonnage,3925,0,0,0,0,0,0,3925,0,0\n13,__,Net Tonnage,2411,0,0,0,0,0,0,2411,0,0\n14,TOGO,No. of Vessels,14,1,0,0,0,0,0,7,0,6\n15,__,Gross Tonnage,50405,2924,0,0,0,0,0,30243,0,17238\n16,__,Net Tonnage,23616,1468,0,0,0,0,0,16976,0,5172\n17,LIBERIA,No. of Vessels,293,8,0,9,0,2,258,16,0,0\n18,__,Gross Tonnage,12293874,41169,0,484095,0,65832,11376337,326441,0,0\n19,__,Net Tonnage,6478278,19262,0,150863,0,38630,6137202,132321,0,0\n20,GERMANY,No. of Vessels,14,0,0,0,0,0,13,0,0,1\n21,__,Gross Tonnage,1202341,0,0,0,0,0,1091092,0,0,111249\n22,__,Net Tonnage,653804,0,0,0,0,0,597960,0,0,55844\n23,ITALY,No. of Vessels,1,1,0,0,0,0,0,0,0,0\n24,__,Gross Tonnage,6700,6700,0,0,0,0,,0,0,0\n25,__,Net Tonnage,6700,6700,0,0,0,0,0,0,0,0\n26,PORTUGAL,No. of Vessels,29,1,0,0,0,0,27,1,0,0\n27,__,Gross Tonnage,1361075,15549,0,0,0,0,1338274,7252,0,0\n28,__,Net Tonnage,831139,6089,0,0,0,0,822068,2982,0,0\n29,DENMARK,No. of Vessels,17,0,0,0,0,0,15,2,0,0\n30,__,Gross Tonnage,733995,0,0,0,0,0,731820,2175,0,0\n31,__,Net Tonnage,253648,0,0,0,0,0,252480,1168,0,0\n32,FRANCE,No. of Vessels,4,0,0,0,0,0,4,0,0,0\n33,__,Gross Tonnage,431405,0,0,0,0,0,431405,0,0,0\n34,__,Net Tonnage,200436,0,0,0,0,0,200436,0,0,0\n35,LUXEMBOURG,No. of Vessels,13,0,0,0,0,0,13,0,0,0\n36,__,Gross Tonnage,238654,0,0,0,0,0,238654,0,0,0\n37,__,Net Tonnage,134342,0,0,0,0,0,134342,0,0,0\n38,MALTA,No. of Vessels,91,3,0,1,0,3,84,0,0,0\n39,__,Gross Tonnage,4457291,7101,0,61321,0,85294,4303575,0,0,0\n40,__,Net Tonnage,2028597,2130,0,23567,0,46387,1956513,0,0,0\n41,UNITED KINGDOM,No. of Vessels,23,0,0,2,0,0,19,2,0,0\n42,__,Gross Tonnage,1484852,0,0,120473,0,0,1351185,13194,0,0\n43,__,Net Tonnage,793988,0,0,36783,0,0,751211,5994,0,0\n` \\n\\nQuestion: `What was the Gross Tonnage, Net Tonnage, and number of Passenger Vessels for the countries India, Hong Kong, and Japan?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10,11\n0,Country of Registration,Number & Tonnage,Type of Vessel,__,__,__,__,__,__,__,__,__\n1,__,__,Total,Others,Passengers Vessels,Vehicles Vessels,Live Sheep,Loose Materials,Containers,Generasl goods,Gas Tankers,Oil Tankers\n2,INDIA,No. of Vessels,3,0,0,0,0,0,3,0,0,0\n3,__,Gross Tonnage,76107,0,0,0,0,0,76107,0,0,0\n4,__,Net Tonnage,38199,0,0,0,0,0,38199,0,0,0\n5,HONG KONG,No. of Vessels,53,0,0,1,0,6,32,14,0,0\n6,__,Gross Tonnage,3238977,0,0,9235,0,180343,2813882,235517,0,0\n7,__,Net Tonnage,1896386,0,0,3695,0,107579,1661925,123187,0,0\n8,JAPAN,No. of Vessels,27,0,0,18,0,0,0,6,0,3\n9,__,Gross Tonnage,1284980,0,0,1142349,0,0,0,134012,0,8619\n10,__,Net Tonnage,398803,0,0,353439,0,0,0,42778,0,2586\n11,TANZANIA,No. of Vessels,8,0,0,0,0,0,0,8,0,0\n12,__,Gross Tonnage,3925,0,0,0,0,0,0,3925,0,0\n13,__,Net Tonnage,2411,0,0,0,0,0,0,2411,0,0\n14,TOGO,No. of Vessels,14,1,0,0,0,0,0,7,0,6\n15,__,Gross Tonnage,50405,2924,0,0,0,0,0,30243,0,17238\n16,__,Net Tonnage,23616,1468,0,0,0,0,0,16976,0,5172\n17,LIBERIA,No. of Vessels,293,8,0,9,0,2,258,16,0,0\n18,__,Gross Tonnage,12293874,41169,0,484095,0,65832,11376337,326441,0,0\n19,__,Net Tonnage,6478278,19262,0,150863,0,38630,6137202,132321,0,0\n20,GERMANY,No. of Vessels,14,0,0,0,0,0,13,0,0,1\n21,__,Gross Tonnage,1202341,0,0,0,0,0,1091092,0,0,111249\n22,__,Net Tonnage,653804,0,0,0,0,0,597960,0,0,55844\n23,ITALY,No. of Vessels,1,1,0,0,0,0,0,0,0,0\n24,__,Gross Tonnage,6700,6700,0,0,0,0,,0,0,0\n25,__,Net Tonnage,6700,6700,0,0,0,0,0,0,0,0\n26,PORTUGAL,No. of Vessels,29,1,0,0,0,0,27,1,0,0\n27,__,Gross Tonnage,1361075,15549,0,0,0,0,1338274,7252,0,0\n28,__,Net Tonnage,831139,6089,0,0,0,0,822068,2982,0,0\n29,DENMARK,No. of Vessels,17,0,0,0,0,0,15,2,0,0\n30,__,Gross Tonnage,733995,0,0,0,0,0,731820,2175,0,0\n31,__,Net Tonnage,253648,0,0,0,0,0,252480,1168,0,0\n32,FRANCE,No. of Vessels,4,0,0,0,0,0,4,0,0,0\n33,__,Gross Tonnage,431405,0,0,0,0,0,431405,0,0,0\n34,__,Net Tonnage,200436,0,0,0,0,0,200436,0,0,0\n35,LUXEMBOURG,No. of Vessels,13,0,0,0,0,0,13,0,0,0\n36,__,Gross Tonnage,238654,0,0,0,0,0,238654,0,0,0\n37,__,Net Tonnage,134342,0,0,0,0,0,134342,0,0,0\n38,MALTA,No. of Vessels,91,3,0,1,0,3,84,0,0,0\n39,__,Gross Tonnage,4457291,7101,0,61321,0,85294,4303575,0,0,0\n40,__,Net Tonnage,2028597,2130,0,23567,0,46387,1956513,0,0,0\n41,UNITED KINGDOM,No. of Vessels,23,0,0,2,0,0,19,2,0,0\n42,__,Gross Tonnage,1484852,0,0,120473,0,0,1351185,13194,0,0\n43,__,Net Tonnage,793988,0,0,36783,0,0,751211,5994,0,0\n` \\n\\nQuestion: `What was the Gross Tonnage, Net Tonnage, and number of Passenger Vessels for the countries India, Hong Kong, and Japan?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
psa--4--604
|
./tables/csvs/psa--4--604.csv
|
./tables/images/psa--4--604.jpg
|
,0,1,2,3,4,5,6,7,8,9,10,11
0,Country of Registration,Number & Tonnage,Type of Vessel,__,__,__,__,__,__,__,__,__
1,__,__,Total,Others,Passengers Vessels,Vehicles Vessels,Live Sheep,Loose Materials,Containers,Generasl goods,Gas Tankers,Oil Tankers
2,INDIA,No. of Vessels,3,0,0,0,0,0,3,0,0,0
3,__,Gross Tonnage,76107,0,0,0,0,0,76107,0,0,0
4,__,Net Tonnage,38199,0,0,0,0,0,38199,0,0,0
5,HONG KONG,No. of Vessels,53,0,0,1,0,6,32,14,0,0
6,__,Gross Tonnage,3238977,0,0,9235,0,180343,2813882,235517,0,0
7,__,Net Tonnage,1896386,0,0,3695,0,107579,1661925,123187,0,0
8,JAPAN,No. of Vessels,27,0,0,18,0,0,0,6,0,3
9,__,Gross Tonnage,1284980,0,0,1142349,0,0,0,134012,0,8619
10,__,Net Tonnage,398803,0,0,353439,0,0,0,42778,0,2586
11,TANZANIA,No. of Vessels,8,0,0,0,0,0,0,8,0,0
12,__,Gross Tonnage,3925,0,0,0,0,0,0,3925,0,0
13,__,Net Tonnage,2411,0,0,0,0,0,0,2411,0,0
14,TOGO,No. of Vessels,14,1,0,0,0,0,0,7,0,6
15,__,Gross Tonnage,50405,2924,0,0,0,0,0,30243,0,17238
16,__,Net Tonnage,23616,1468,0,0,0,0,0,16976,0,5172
17,LIBERIA,No. of Vessels,293,8,0,9,0,2,258,16,0,0
18,__,Gross Tonnage,12293874,41169,0,484095,0,65832,11376337,326441,0,0
19,__,Net Tonnage,6478278,19262,0,150863,0,38630,6137202,132321,0,0
20,GERMANY,No. of Vessels,14,0,0,0,0,0,13,0,0,1
21,__,Gross Tonnage,1202341,0,0,0,0,0,1091092,0,0,111249
22,__,Net Tonnage,653804,0,0,0,0,0,597960,0,0,55844
23,ITALY,No. of Vessels,1,1,0,0,0,0,0,0,0,0
24,__,Gross Tonnage,6700,6700,0,0,0,0,,0,0,0
25,__,Net Tonnage,6700,6700,0,0,0,0,0,0,0,0
26,PORTUGAL,No. of Vessels,29,1,0,0,0,0,27,1,0,0
27,__,Gross Tonnage,1361075,15549,0,0,0,0,1338274,7252,0,0
28,__,Net Tonnage,831139,6089,0,0,0,0,822068,2982,0,0
29,DENMARK,No. of Vessels,17,0,0,0,0,0,15,2,0,0
30,__,Gross Tonnage,733995,0,0,0,0,0,731820,2175,0,0
31,__,Net Tonnage,253648,0,0,0,0,0,252480,1168,0,0
32,FRANCE,No. of Vessels,4,0,0,0,0,0,4,0,0,0
33,__,Gross Tonnage,431405,0,0,0,0,0,431405,0,0,0
34,__,Net Tonnage,200436,0,0,0,0,0,200436,0,0,0
35,LUXEMBOURG,No. of Vessels,13,0,0,0,0,0,13,0,0,0
36,__,Gross Tonnage,238654,0,0,0,0,0,238654,0,0,0
37,__,Net Tonnage,134342,0,0,0,0,0,134342,0,0,0
38,MALTA,No. of Vessels,91,3,0,1,0,3,84,0,0,0
39,__,Gross Tonnage,4457291,7101,0,61321,0,85294,4303575,0,0,0
40,__,Net Tonnage,2028597,2130,0,23567,0,46387,1956513,0,0,0
41,UNITED KINGDOM,No. of Vessels,23,0,0,2,0,0,19,2,0,0
42,__,Gross Tonnage,1484852,0,0,120473,0,0,1351185,13194,0,0
43,__,Net Tonnage,793988,0,0,36783,0,0,751211,5994,0,0
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": true, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false, "Row Nesting": true}
|
psa--4--604--M0
|
What is the value of container type vessels where the country is Liberia and the number of tonnage is no of vessels?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": true, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "1", "Row Filter Retained Rows Single": true, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "2", "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": "2", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": "", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
{258}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10,11\n0,Country of Registration,Number & Tonnage,Type of Vessel,__,__,__,__,__,__,__,__,__\n1,__,__,Total,Others,Passengers Vessels,Vehicles Vessels,Live Sheep,Loose Materials,Containers,Generasl goods,Gas Tankers,Oil Tankers\n2,INDIA,No. of Vessels,3,0,0,0,0,0,3,0,0,0\n3,__,Gross Tonnage,76107,0,0,0,0,0,76107,0,0,0\n4,__,Net Tonnage,38199,0,0,0,0,0,38199,0,0,0\n5,HONG KONG,No. of Vessels,53,0,0,1,0,6,32,14,0,0\n6,__,Gross Tonnage,3238977,0,0,9235,0,180343,2813882,235517,0,0\n7,__,Net Tonnage,1896386,0,0,3695,0,107579,1661925,123187,0,0\n8,JAPAN,No. of Vessels,27,0,0,18,0,0,0,6,0,3\n9,__,Gross Tonnage,1284980,0,0,1142349,0,0,0,134012,0,8619\n10,__,Net Tonnage,398803,0,0,353439,0,0,0,42778,0,2586\n11,TANZANIA,No. of Vessels,8,0,0,0,0,0,0,8,0,0\n12,__,Gross Tonnage,3925,0,0,0,0,0,0,3925,0,0\n13,__,Net Tonnage,2411,0,0,0,0,0,0,2411,0,0\n14,TOGO,No. of Vessels,14,1,0,0,0,0,0,7,0,6\n15,__,Gross Tonnage,50405,2924,0,0,0,0,0,30243,0,17238\n16,__,Net Tonnage,23616,1468,0,0,0,0,0,16976,0,5172\n17,LIBERIA,No. of Vessels,293,8,0,9,0,2,258,16,0,0\n18,__,Gross Tonnage,12293874,41169,0,484095,0,65832,11376337,326441,0,0\n19,__,Net Tonnage,6478278,19262,0,150863,0,38630,6137202,132321,0,0\n20,GERMANY,No. of Vessels,14,0,0,0,0,0,13,0,0,1\n21,__,Gross Tonnage,1202341,0,0,0,0,0,1091092,0,0,111249\n22,__,Net Tonnage,653804,0,0,0,0,0,597960,0,0,55844\n23,ITALY,No. of Vessels,1,1,0,0,0,0,0,0,0,0\n24,__,Gross Tonnage,6700,6700,0,0,0,0,,0,0,0\n25,__,Net Tonnage,6700,6700,0,0,0,0,0,0,0,0\n26,PORTUGAL,No. of Vessels,29,1,0,0,0,0,27,1,0,0\n27,__,Gross Tonnage,1361075,15549,0,0,0,0,1338274,7252,0,0\n28,__,Net Tonnage,831139,6089,0,0,0,0,822068,2982,0,0\n29,DENMARK,No. of Vessels,17,0,0,0,0,0,15,2,0,0\n30,__,Gross Tonnage,733995,0,0,0,0,0,731820,2175,0,0\n31,__,Net Tonnage,253648,0,0,0,0,0,252480,1168,0,0\n32,FRANCE,No. of Vessels,4,0,0,0,0,0,4,0,0,0\n33,__,Gross Tonnage,431405,0,0,0,0,0,431405,0,0,0\n34,__,Net Tonnage,200436,0,0,0,0,0,200436,0,0,0\n35,LUXEMBOURG,No. of Vessels,13,0,0,0,0,0,13,0,0,0\n36,__,Gross Tonnage,238654,0,0,0,0,0,238654,0,0,0\n37,__,Net Tonnage,134342,0,0,0,0,0,134342,0,0,0\n38,MALTA,No. of Vessels,91,3,0,1,0,3,84,0,0,0\n39,__,Gross Tonnage,4457291,7101,0,61321,0,85294,4303575,0,0,0\n40,__,Net Tonnage,2028597,2130,0,23567,0,46387,1956513,0,0,0\n41,UNITED KINGDOM,No. of Vessels,23,0,0,2,0,0,19,2,0,0\n42,__,Gross Tonnage,1484852,0,0,120473,0,0,1351185,13194,0,0\n43,__,Net Tonnage,793988,0,0,36783,0,0,751211,5994,0,0\n` \\n\\nQuestion: `What is the value of container type vessels where the country is Liberia and the number of tonnage is no of vessels?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10,11\n0,Country of Registration,Number & Tonnage,Type of Vessel,__,__,__,__,__,__,__,__,__\n1,__,__,Total,Others,Passengers Vessels,Vehicles Vessels,Live Sheep,Loose Materials,Containers,Generasl goods,Gas Tankers,Oil Tankers\n2,INDIA,No. of Vessels,3,0,0,0,0,0,3,0,0,0\n3,__,Gross Tonnage,76107,0,0,0,0,0,76107,0,0,0\n4,__,Net Tonnage,38199,0,0,0,0,0,38199,0,0,0\n5,HONG KONG,No. of Vessels,53,0,0,1,0,6,32,14,0,0\n6,__,Gross Tonnage,3238977,0,0,9235,0,180343,2813882,235517,0,0\n7,__,Net Tonnage,1896386,0,0,3695,0,107579,1661925,123187,0,0\n8,JAPAN,No. of Vessels,27,0,0,18,0,0,0,6,0,3\n9,__,Gross Tonnage,1284980,0,0,1142349,0,0,0,134012,0,8619\n10,__,Net Tonnage,398803,0,0,353439,0,0,0,42778,0,2586\n11,TANZANIA,No. of Vessels,8,0,0,0,0,0,0,8,0,0\n12,__,Gross Tonnage,3925,0,0,0,0,0,0,3925,0,0\n13,__,Net Tonnage,2411,0,0,0,0,0,0,2411,0,0\n14,TOGO,No. of Vessels,14,1,0,0,0,0,0,7,0,6\n15,__,Gross Tonnage,50405,2924,0,0,0,0,0,30243,0,17238\n16,__,Net Tonnage,23616,1468,0,0,0,0,0,16976,0,5172\n17,LIBERIA,No. of Vessels,293,8,0,9,0,2,258,16,0,0\n18,__,Gross Tonnage,12293874,41169,0,484095,0,65832,11376337,326441,0,0\n19,__,Net Tonnage,6478278,19262,0,150863,0,38630,6137202,132321,0,0\n20,GERMANY,No. of Vessels,14,0,0,0,0,0,13,0,0,1\n21,__,Gross Tonnage,1202341,0,0,0,0,0,1091092,0,0,111249\n22,__,Net Tonnage,653804,0,0,0,0,0,597960,0,0,55844\n23,ITALY,No. of Vessels,1,1,0,0,0,0,0,0,0,0\n24,__,Gross Tonnage,6700,6700,0,0,0,0,,0,0,0\n25,__,Net Tonnage,6700,6700,0,0,0,0,0,0,0,0\n26,PORTUGAL,No. of Vessels,29,1,0,0,0,0,27,1,0,0\n27,__,Gross Tonnage,1361075,15549,0,0,0,0,1338274,7252,0,0\n28,__,Net Tonnage,831139,6089,0,0,0,0,822068,2982,0,0\n29,DENMARK,No. of Vessels,17,0,0,0,0,0,15,2,0,0\n30,__,Gross Tonnage,733995,0,0,0,0,0,731820,2175,0,0\n31,__,Net Tonnage,253648,0,0,0,0,0,252480,1168,0,0\n32,FRANCE,No. of Vessels,4,0,0,0,0,0,4,0,0,0\n33,__,Gross Tonnage,431405,0,0,0,0,0,431405,0,0,0\n34,__,Net Tonnage,200436,0,0,0,0,0,200436,0,0,0\n35,LUXEMBOURG,No. of Vessels,13,0,0,0,0,0,13,0,0,0\n36,__,Gross Tonnage,238654,0,0,0,0,0,238654,0,0,0\n37,__,Net Tonnage,134342,0,0,0,0,0,134342,0,0,0\n38,MALTA,No. of Vessels,91,3,0,1,0,3,84,0,0,0\n39,__,Gross Tonnage,4457291,7101,0,61321,0,85294,4303575,0,0,0\n40,__,Net Tonnage,2028597,2130,0,23567,0,46387,1956513,0,0,0\n41,UNITED KINGDOM,No. of Vessels,23,0,0,2,0,0,19,2,0,0\n42,__,Gross Tonnage,1484852,0,0,120473,0,0,1351185,13194,0,0\n43,__,Net Tonnage,793988,0,0,36783,0,0,751211,5994,0,0\n` \\n\\nQuestion: `What is the value of container type vessels where the country is Liberia and the number of tonnage is no of vessels?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
psa--4--604
|
./tables/csvs/psa--4--604.csv
|
./tables/images/psa--4--604.jpg
|
,0,1,2,3,4,5,6,7,8,9,10,11
0,Country of Registration,Number & Tonnage,Type of Vessel,__,__,__,__,__,__,__,__,__
1,__,__,Total,Others,Passengers Vessels,Vehicles Vessels,Live Sheep,Loose Materials,Containers,Generasl goods,Gas Tankers,Oil Tankers
2,INDIA,No. of Vessels,3,0,0,0,0,0,3,0,0,0
3,__,Gross Tonnage,76107,0,0,0,0,0,76107,0,0,0
4,__,Net Tonnage,38199,0,0,0,0,0,38199,0,0,0
5,HONG KONG,No. of Vessels,53,0,0,1,0,6,32,14,0,0
6,__,Gross Tonnage,3238977,0,0,9235,0,180343,2813882,235517,0,0
7,__,Net Tonnage,1896386,0,0,3695,0,107579,1661925,123187,0,0
8,JAPAN,No. of Vessels,27,0,0,18,0,0,0,6,0,3
9,__,Gross Tonnage,1284980,0,0,1142349,0,0,0,134012,0,8619
10,__,Net Tonnage,398803,0,0,353439,0,0,0,42778,0,2586
11,TANZANIA,No. of Vessels,8,0,0,0,0,0,0,8,0,0
12,__,Gross Tonnage,3925,0,0,0,0,0,0,3925,0,0
13,__,Net Tonnage,2411,0,0,0,0,0,0,2411,0,0
14,TOGO,No. of Vessels,14,1,0,0,0,0,0,7,0,6
15,__,Gross Tonnage,50405,2924,0,0,0,0,0,30243,0,17238
16,__,Net Tonnage,23616,1468,0,0,0,0,0,16976,0,5172
17,LIBERIA,No. of Vessels,293,8,0,9,0,2,258,16,0,0
18,__,Gross Tonnage,12293874,41169,0,484095,0,65832,11376337,326441,0,0
19,__,Net Tonnage,6478278,19262,0,150863,0,38630,6137202,132321,0,0
20,GERMANY,No. of Vessels,14,0,0,0,0,0,13,0,0,1
21,__,Gross Tonnage,1202341,0,0,0,0,0,1091092,0,0,111249
22,__,Net Tonnage,653804,0,0,0,0,0,597960,0,0,55844
23,ITALY,No. of Vessels,1,1,0,0,0,0,0,0,0,0
24,__,Gross Tonnage,6700,6700,0,0,0,0,,0,0,0
25,__,Net Tonnage,6700,6700,0,0,0,0,0,0,0,0
26,PORTUGAL,No. of Vessels,29,1,0,0,0,0,27,1,0,0
27,__,Gross Tonnage,1361075,15549,0,0,0,0,1338274,7252,0,0
28,__,Net Tonnage,831139,6089,0,0,0,0,822068,2982,0,0
29,DENMARK,No. of Vessels,17,0,0,0,0,0,15,2,0,0
30,__,Gross Tonnage,733995,0,0,0,0,0,731820,2175,0,0
31,__,Net Tonnage,253648,0,0,0,0,0,252480,1168,0,0
32,FRANCE,No. of Vessels,4,0,0,0,0,0,4,0,0,0
33,__,Gross Tonnage,431405,0,0,0,0,0,431405,0,0,0
34,__,Net Tonnage,200436,0,0,0,0,0,200436,0,0,0
35,LUXEMBOURG,No. of Vessels,13,0,0,0,0,0,13,0,0,0
36,__,Gross Tonnage,238654,0,0,0,0,0,238654,0,0,0
37,__,Net Tonnage,134342,0,0,0,0,0,134342,0,0,0
38,MALTA,No. of Vessels,91,3,0,1,0,3,84,0,0,0
39,__,Gross Tonnage,4457291,7101,0,61321,0,85294,4303575,0,0,0
40,__,Net Tonnage,2028597,2130,0,23567,0,46387,1956513,0,0,0
41,UNITED KINGDOM,No. of Vessels,23,0,0,2,0,0,19,2,0,0
42,__,Gross Tonnage,1484852,0,0,120473,0,0,1351185,13194,0,0
43,__,Net Tonnage,793988,0,0,36783,0,0,751211,5994,0,0
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": true, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false, "Row Nesting": true}
|
psa--4--604--A5
|
Which 3 countries had the highest number of vessels registered in 2018 and how many were there?
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": false, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": false, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": 2, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": true, "Rank Rank On Plain": true, "Rank Rank On Expression": false, "Rank Report Top": 3}
|
{LIBERIA | 293} || {MALTA | 91} || {HONG KONG | 53}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10,11\n0,Country of Registration,Number & Tonnage,Type of Vessel,__,__,__,__,__,__,__,__,__\n1,__,__,Total,Others,Passengers Vessels,Vehicles Vessels,Live Sheep,Loose Materials,Containers,Generasl goods,Gas Tankers,Oil Tankers\n2,INDIA,No. of Vessels,3,0,0,0,0,0,3,0,0,0\n3,__,Gross Tonnage,76107,0,0,0,0,0,76107,0,0,0\n4,__,Net Tonnage,38199,0,0,0,0,0,38199,0,0,0\n5,HONG KONG,No. of Vessels,53,0,0,1,0,6,32,14,0,0\n6,__,Gross Tonnage,3238977,0,0,9235,0,180343,2813882,235517,0,0\n7,__,Net Tonnage,1896386,0,0,3695,0,107579,1661925,123187,0,0\n8,JAPAN,No. of Vessels,27,0,0,18,0,0,0,6,0,3\n9,__,Gross Tonnage,1284980,0,0,1142349,0,0,0,134012,0,8619\n10,__,Net Tonnage,398803,0,0,353439,0,0,0,42778,0,2586\n11,TANZANIA,No. of Vessels,8,0,0,0,0,0,0,8,0,0\n12,__,Gross Tonnage,3925,0,0,0,0,0,0,3925,0,0\n13,__,Net Tonnage,2411,0,0,0,0,0,0,2411,0,0\n14,TOGO,No. of Vessels,14,1,0,0,0,0,0,7,0,6\n15,__,Gross Tonnage,50405,2924,0,0,0,0,0,30243,0,17238\n16,__,Net Tonnage,23616,1468,0,0,0,0,0,16976,0,5172\n17,LIBERIA,No. of Vessels,293,8,0,9,0,2,258,16,0,0\n18,__,Gross Tonnage,12293874,41169,0,484095,0,65832,11376337,326441,0,0\n19,__,Net Tonnage,6478278,19262,0,150863,0,38630,6137202,132321,0,0\n20,GERMANY,No. of Vessels,14,0,0,0,0,0,13,0,0,1\n21,__,Gross Tonnage,1202341,0,0,0,0,0,1091092,0,0,111249\n22,__,Net Tonnage,653804,0,0,0,0,0,597960,0,0,55844\n23,ITALY,No. of Vessels,1,1,0,0,0,0,0,0,0,0\n24,__,Gross Tonnage,6700,6700,0,0,0,0,,0,0,0\n25,__,Net Tonnage,6700,6700,0,0,0,0,0,0,0,0\n26,PORTUGAL,No. of Vessels,29,1,0,0,0,0,27,1,0,0\n27,__,Gross Tonnage,1361075,15549,0,0,0,0,1338274,7252,0,0\n28,__,Net Tonnage,831139,6089,0,0,0,0,822068,2982,0,0\n29,DENMARK,No. of Vessels,17,0,0,0,0,0,15,2,0,0\n30,__,Gross Tonnage,733995,0,0,0,0,0,731820,2175,0,0\n31,__,Net Tonnage,253648,0,0,0,0,0,252480,1168,0,0\n32,FRANCE,No. of Vessels,4,0,0,0,0,0,4,0,0,0\n33,__,Gross Tonnage,431405,0,0,0,0,0,431405,0,0,0\n34,__,Net Tonnage,200436,0,0,0,0,0,200436,0,0,0\n35,LUXEMBOURG,No. of Vessels,13,0,0,0,0,0,13,0,0,0\n36,__,Gross Tonnage,238654,0,0,0,0,0,238654,0,0,0\n37,__,Net Tonnage,134342,0,0,0,0,0,134342,0,0,0\n38,MALTA,No. of Vessels,91,3,0,1,0,3,84,0,0,0\n39,__,Gross Tonnage,4457291,7101,0,61321,0,85294,4303575,0,0,0\n40,__,Net Tonnage,2028597,2130,0,23567,0,46387,1956513,0,0,0\n41,UNITED KINGDOM,No. of Vessels,23,0,0,2,0,0,19,2,0,0\n42,__,Gross Tonnage,1484852,0,0,120473,0,0,1351185,13194,0,0\n43,__,Net Tonnage,793988,0,0,36783,0,0,751211,5994,0,0\n` \\n\\nQuestion: `Which 3 countries had the highest number of vessels registered in 2018 and how many were there?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10,11\n0,Country of Registration,Number & Tonnage,Type of Vessel,__,__,__,__,__,__,__,__,__\n1,__,__,Total,Others,Passengers Vessels,Vehicles Vessels,Live Sheep,Loose Materials,Containers,Generasl goods,Gas Tankers,Oil Tankers\n2,INDIA,No. of Vessels,3,0,0,0,0,0,3,0,0,0\n3,__,Gross Tonnage,76107,0,0,0,0,0,76107,0,0,0\n4,__,Net Tonnage,38199,0,0,0,0,0,38199,0,0,0\n5,HONG KONG,No. of Vessels,53,0,0,1,0,6,32,14,0,0\n6,__,Gross Tonnage,3238977,0,0,9235,0,180343,2813882,235517,0,0\n7,__,Net Tonnage,1896386,0,0,3695,0,107579,1661925,123187,0,0\n8,JAPAN,No. of Vessels,27,0,0,18,0,0,0,6,0,3\n9,__,Gross Tonnage,1284980,0,0,1142349,0,0,0,134012,0,8619\n10,__,Net Tonnage,398803,0,0,353439,0,0,0,42778,0,2586\n11,TANZANIA,No. of Vessels,8,0,0,0,0,0,0,8,0,0\n12,__,Gross Tonnage,3925,0,0,0,0,0,0,3925,0,0\n13,__,Net Tonnage,2411,0,0,0,0,0,0,2411,0,0\n14,TOGO,No. of Vessels,14,1,0,0,0,0,0,7,0,6\n15,__,Gross Tonnage,50405,2924,0,0,0,0,0,30243,0,17238\n16,__,Net Tonnage,23616,1468,0,0,0,0,0,16976,0,5172\n17,LIBERIA,No. of Vessels,293,8,0,9,0,2,258,16,0,0\n18,__,Gross Tonnage,12293874,41169,0,484095,0,65832,11376337,326441,0,0\n19,__,Net Tonnage,6478278,19262,0,150863,0,38630,6137202,132321,0,0\n20,GERMANY,No. of Vessels,14,0,0,0,0,0,13,0,0,1\n21,__,Gross Tonnage,1202341,0,0,0,0,0,1091092,0,0,111249\n22,__,Net Tonnage,653804,0,0,0,0,0,597960,0,0,55844\n23,ITALY,No. of Vessels,1,1,0,0,0,0,0,0,0,0\n24,__,Gross Tonnage,6700,6700,0,0,0,0,,0,0,0\n25,__,Net Tonnage,6700,6700,0,0,0,0,0,0,0,0\n26,PORTUGAL,No. of Vessels,29,1,0,0,0,0,27,1,0,0\n27,__,Gross Tonnage,1361075,15549,0,0,0,0,1338274,7252,0,0\n28,__,Net Tonnage,831139,6089,0,0,0,0,822068,2982,0,0\n29,DENMARK,No. of Vessels,17,0,0,0,0,0,15,2,0,0\n30,__,Gross Tonnage,733995,0,0,0,0,0,731820,2175,0,0\n31,__,Net Tonnage,253648,0,0,0,0,0,252480,1168,0,0\n32,FRANCE,No. of Vessels,4,0,0,0,0,0,4,0,0,0\n33,__,Gross Tonnage,431405,0,0,0,0,0,431405,0,0,0\n34,__,Net Tonnage,200436,0,0,0,0,0,200436,0,0,0\n35,LUXEMBOURG,No. of Vessels,13,0,0,0,0,0,13,0,0,0\n36,__,Gross Tonnage,238654,0,0,0,0,0,238654,0,0,0\n37,__,Net Tonnage,134342,0,0,0,0,0,134342,0,0,0\n38,MALTA,No. of Vessels,91,3,0,1,0,3,84,0,0,0\n39,__,Gross Tonnage,4457291,7101,0,61321,0,85294,4303575,0,0,0\n40,__,Net Tonnage,2028597,2130,0,23567,0,46387,1956513,0,0,0\n41,UNITED KINGDOM,No. of Vessels,23,0,0,2,0,0,19,2,0,0\n42,__,Gross Tonnage,1484852,0,0,120473,0,0,1351185,13194,0,0\n43,__,Net Tonnage,793988,0,0,36783,0,0,751211,5994,0,0\n` \\n\\nQuestion: `Which 3 countries had the highest number of vessels registered in 2018 and how many were there?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
psa--4--604
|
./tables/csvs/psa--4--604.csv
|
./tables/images/psa--4--604.jpg
|
,0,1,2,3,4,5,6,7,8,9,10,11
0,Country of Registration,Number & Tonnage,Type of Vessel,__,__,__,__,__,__,__,__,__
1,__,__,Total,Others,Passengers Vessels,Vehicles Vessels,Live Sheep,Loose Materials,Containers,Generasl goods,Gas Tankers,Oil Tankers
2,INDIA,No. of Vessels,3,0,0,0,0,0,3,0,0,0
3,__,Gross Tonnage,76107,0,0,0,0,0,76107,0,0,0
4,__,Net Tonnage,38199,0,0,0,0,0,38199,0,0,0
5,HONG KONG,No. of Vessels,53,0,0,1,0,6,32,14,0,0
6,__,Gross Tonnage,3238977,0,0,9235,0,180343,2813882,235517,0,0
7,__,Net Tonnage,1896386,0,0,3695,0,107579,1661925,123187,0,0
8,JAPAN,No. of Vessels,27,0,0,18,0,0,0,6,0,3
9,__,Gross Tonnage,1284980,0,0,1142349,0,0,0,134012,0,8619
10,__,Net Tonnage,398803,0,0,353439,0,0,0,42778,0,2586
11,TANZANIA,No. of Vessels,8,0,0,0,0,0,0,8,0,0
12,__,Gross Tonnage,3925,0,0,0,0,0,0,3925,0,0
13,__,Net Tonnage,2411,0,0,0,0,0,0,2411,0,0
14,TOGO,No. of Vessels,14,1,0,0,0,0,0,7,0,6
15,__,Gross Tonnage,50405,2924,0,0,0,0,0,30243,0,17238
16,__,Net Tonnage,23616,1468,0,0,0,0,0,16976,0,5172
17,LIBERIA,No. of Vessels,293,8,0,9,0,2,258,16,0,0
18,__,Gross Tonnage,12293874,41169,0,484095,0,65832,11376337,326441,0,0
19,__,Net Tonnage,6478278,19262,0,150863,0,38630,6137202,132321,0,0
20,GERMANY,No. of Vessels,14,0,0,0,0,0,13,0,0,1
21,__,Gross Tonnage,1202341,0,0,0,0,0,1091092,0,0,111249
22,__,Net Tonnage,653804,0,0,0,0,0,597960,0,0,55844
23,ITALY,No. of Vessels,1,1,0,0,0,0,0,0,0,0
24,__,Gross Tonnage,6700,6700,0,0,0,0,,0,0,0
25,__,Net Tonnage,6700,6700,0,0,0,0,0,0,0,0
26,PORTUGAL,No. of Vessels,29,1,0,0,0,0,27,1,0,0
27,__,Gross Tonnage,1361075,15549,0,0,0,0,1338274,7252,0,0
28,__,Net Tonnage,831139,6089,0,0,0,0,822068,2982,0,0
29,DENMARK,No. of Vessels,17,0,0,0,0,0,15,2,0,0
30,__,Gross Tonnage,733995,0,0,0,0,0,731820,2175,0,0
31,__,Net Tonnage,253648,0,0,0,0,0,252480,1168,0,0
32,FRANCE,No. of Vessels,4,0,0,0,0,0,4,0,0,0
33,__,Gross Tonnage,431405,0,0,0,0,0,431405,0,0,0
34,__,Net Tonnage,200436,0,0,0,0,0,200436,0,0,0
35,LUXEMBOURG,No. of Vessels,13,0,0,0,0,0,13,0,0,0
36,__,Gross Tonnage,238654,0,0,0,0,0,238654,0,0,0
37,__,Net Tonnage,134342,0,0,0,0,0,134342,0,0,0
38,MALTA,No. of Vessels,91,3,0,1,0,3,84,0,0,0
39,__,Gross Tonnage,4457291,7101,0,61321,0,85294,4303575,0,0,0
40,__,Net Tonnage,2028597,2130,0,23567,0,46387,1956513,0,0,0
41,UNITED KINGDOM,No. of Vessels,23,0,0,2,0,0,19,2,0,0
42,__,Gross Tonnage,1484852,0,0,120473,0,0,1351185,13194,0,0
43,__,Net Tonnage,793988,0,0,36783,0,0,751211,5994,0,0
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": true, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false, "Row Nesting": true}
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psa--4--604--M1
|
What are the top 3 countries with the largest value oil tankers for gross tonnage?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": true, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "1", "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": true, "Row Filter Num Of Conditions": "1", "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": "1", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": "", "Rank": true, "Rank Rank On Plain": true, "Rank Rank On Expression": false, "Rank Report Top": "3"}
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{GERMANY | 111249} || {TOGO | 17238} || {JAPAN | 8619}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10,11\n0,Country of Registration,Number & Tonnage,Type of Vessel,__,__,__,__,__,__,__,__,__\n1,__,__,Total,Others,Passengers Vessels,Vehicles Vessels,Live Sheep,Loose Materials,Containers,Generasl goods,Gas Tankers,Oil Tankers\n2,INDIA,No. of Vessels,3,0,0,0,0,0,3,0,0,0\n3,__,Gross Tonnage,76107,0,0,0,0,0,76107,0,0,0\n4,__,Net Tonnage,38199,0,0,0,0,0,38199,0,0,0\n5,HONG KONG,No. of Vessels,53,0,0,1,0,6,32,14,0,0\n6,__,Gross Tonnage,3238977,0,0,9235,0,180343,2813882,235517,0,0\n7,__,Net Tonnage,1896386,0,0,3695,0,107579,1661925,123187,0,0\n8,JAPAN,No. of Vessels,27,0,0,18,0,0,0,6,0,3\n9,__,Gross Tonnage,1284980,0,0,1142349,0,0,0,134012,0,8619\n10,__,Net Tonnage,398803,0,0,353439,0,0,0,42778,0,2586\n11,TANZANIA,No. of Vessels,8,0,0,0,0,0,0,8,0,0\n12,__,Gross Tonnage,3925,0,0,0,0,0,0,3925,0,0\n13,__,Net Tonnage,2411,0,0,0,0,0,0,2411,0,0\n14,TOGO,No. of Vessels,14,1,0,0,0,0,0,7,0,6\n15,__,Gross Tonnage,50405,2924,0,0,0,0,0,30243,0,17238\n16,__,Net Tonnage,23616,1468,0,0,0,0,0,16976,0,5172\n17,LIBERIA,No. of Vessels,293,8,0,9,0,2,258,16,0,0\n18,__,Gross Tonnage,12293874,41169,0,484095,0,65832,11376337,326441,0,0\n19,__,Net Tonnage,6478278,19262,0,150863,0,38630,6137202,132321,0,0\n20,GERMANY,No. of Vessels,14,0,0,0,0,0,13,0,0,1\n21,__,Gross Tonnage,1202341,0,0,0,0,0,1091092,0,0,111249\n22,__,Net Tonnage,653804,0,0,0,0,0,597960,0,0,55844\n23,ITALY,No. of Vessels,1,1,0,0,0,0,0,0,0,0\n24,__,Gross Tonnage,6700,6700,0,0,0,0,,0,0,0\n25,__,Net Tonnage,6700,6700,0,0,0,0,0,0,0,0\n26,PORTUGAL,No. of Vessels,29,1,0,0,0,0,27,1,0,0\n27,__,Gross Tonnage,1361075,15549,0,0,0,0,1338274,7252,0,0\n28,__,Net Tonnage,831139,6089,0,0,0,0,822068,2982,0,0\n29,DENMARK,No. of Vessels,17,0,0,0,0,0,15,2,0,0\n30,__,Gross Tonnage,733995,0,0,0,0,0,731820,2175,0,0\n31,__,Net Tonnage,253648,0,0,0,0,0,252480,1168,0,0\n32,FRANCE,No. of Vessels,4,0,0,0,0,0,4,0,0,0\n33,__,Gross Tonnage,431405,0,0,0,0,0,431405,0,0,0\n34,__,Net Tonnage,200436,0,0,0,0,0,200436,0,0,0\n35,LUXEMBOURG,No. of Vessels,13,0,0,0,0,0,13,0,0,0\n36,__,Gross Tonnage,238654,0,0,0,0,0,238654,0,0,0\n37,__,Net Tonnage,134342,0,0,0,0,0,134342,0,0,0\n38,MALTA,No. of Vessels,91,3,0,1,0,3,84,0,0,0\n39,__,Gross Tonnage,4457291,7101,0,61321,0,85294,4303575,0,0,0\n40,__,Net Tonnage,2028597,2130,0,23567,0,46387,1956513,0,0,0\n41,UNITED KINGDOM,No. of Vessels,23,0,0,2,0,0,19,2,0,0\n42,__,Gross Tonnage,1484852,0,0,120473,0,0,1351185,13194,0,0\n43,__,Net Tonnage,793988,0,0,36783,0,0,751211,5994,0,0\n` \\n\\nQuestion: `What are the top 3 countries with the largest value oil tankers for gross tonnage?`\\n\\n # OUTPUT: \\nAnswer:"}]
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[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10,11\n0,Country of Registration,Number & Tonnage,Type of Vessel,__,__,__,__,__,__,__,__,__\n1,__,__,Total,Others,Passengers Vessels,Vehicles Vessels,Live Sheep,Loose Materials,Containers,Generasl goods,Gas Tankers,Oil Tankers\n2,INDIA,No. of Vessels,3,0,0,0,0,0,3,0,0,0\n3,__,Gross Tonnage,76107,0,0,0,0,0,76107,0,0,0\n4,__,Net Tonnage,38199,0,0,0,0,0,38199,0,0,0\n5,HONG KONG,No. of Vessels,53,0,0,1,0,6,32,14,0,0\n6,__,Gross Tonnage,3238977,0,0,9235,0,180343,2813882,235517,0,0\n7,__,Net Tonnage,1896386,0,0,3695,0,107579,1661925,123187,0,0\n8,JAPAN,No. of Vessels,27,0,0,18,0,0,0,6,0,3\n9,__,Gross Tonnage,1284980,0,0,1142349,0,0,0,134012,0,8619\n10,__,Net Tonnage,398803,0,0,353439,0,0,0,42778,0,2586\n11,TANZANIA,No. of Vessels,8,0,0,0,0,0,0,8,0,0\n12,__,Gross Tonnage,3925,0,0,0,0,0,0,3925,0,0\n13,__,Net Tonnage,2411,0,0,0,0,0,0,2411,0,0\n14,TOGO,No. of Vessels,14,1,0,0,0,0,0,7,0,6\n15,__,Gross Tonnage,50405,2924,0,0,0,0,0,30243,0,17238\n16,__,Net Tonnage,23616,1468,0,0,0,0,0,16976,0,5172\n17,LIBERIA,No. of Vessels,293,8,0,9,0,2,258,16,0,0\n18,__,Gross Tonnage,12293874,41169,0,484095,0,65832,11376337,326441,0,0\n19,__,Net Tonnage,6478278,19262,0,150863,0,38630,6137202,132321,0,0\n20,GERMANY,No. of Vessels,14,0,0,0,0,0,13,0,0,1\n21,__,Gross Tonnage,1202341,0,0,0,0,0,1091092,0,0,111249\n22,__,Net Tonnage,653804,0,0,0,0,0,597960,0,0,55844\n23,ITALY,No. of Vessels,1,1,0,0,0,0,0,0,0,0\n24,__,Gross Tonnage,6700,6700,0,0,0,0,,0,0,0\n25,__,Net Tonnage,6700,6700,0,0,0,0,0,0,0,0\n26,PORTUGAL,No. of Vessels,29,1,0,0,0,0,27,1,0,0\n27,__,Gross Tonnage,1361075,15549,0,0,0,0,1338274,7252,0,0\n28,__,Net Tonnage,831139,6089,0,0,0,0,822068,2982,0,0\n29,DENMARK,No. of Vessels,17,0,0,0,0,0,15,2,0,0\n30,__,Gross Tonnage,733995,0,0,0,0,0,731820,2175,0,0\n31,__,Net Tonnage,253648,0,0,0,0,0,252480,1168,0,0\n32,FRANCE,No. of Vessels,4,0,0,0,0,0,4,0,0,0\n33,__,Gross Tonnage,431405,0,0,0,0,0,431405,0,0,0\n34,__,Net Tonnage,200436,0,0,0,0,0,200436,0,0,0\n35,LUXEMBOURG,No. of Vessels,13,0,0,0,0,0,13,0,0,0\n36,__,Gross Tonnage,238654,0,0,0,0,0,238654,0,0,0\n37,__,Net Tonnage,134342,0,0,0,0,0,134342,0,0,0\n38,MALTA,No. of Vessels,91,3,0,1,0,3,84,0,0,0\n39,__,Gross Tonnage,4457291,7101,0,61321,0,85294,4303575,0,0,0\n40,__,Net Tonnage,2028597,2130,0,23567,0,46387,1956513,0,0,0\n41,UNITED KINGDOM,No. of Vessels,23,0,0,2,0,0,19,2,0,0\n42,__,Gross Tonnage,1484852,0,0,120473,0,0,1351185,13194,0,0\n43,__,Net Tonnage,793988,0,0,36783,0,0,751211,5994,0,0\n` \\n\\nQuestion: `What are the top 3 countries with the largest value oil tankers for gross tonnage?`\\n\\n # OUTPUT: \\nAnswer:"}]
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realWorldHCTs
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psa--4--604
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./tables/csvs/psa--4--604.csv
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./tables/images/psa--4--604.jpg
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,0,1,2,3,4,5,6,7,8,9,10,11
0,Country of Registration,Number & Tonnage,Type of Vessel,__,__,__,__,__,__,__,__,__
1,__,__,Total,Others,Passengers Vessels,Vehicles Vessels,Live Sheep,Loose Materials,Containers,Generasl goods,Gas Tankers,Oil Tankers
2,INDIA,No. of Vessels,3,0,0,0,0,0,3,0,0,0
3,__,Gross Tonnage,76107,0,0,0,0,0,76107,0,0,0
4,__,Net Tonnage,38199,0,0,0,0,0,38199,0,0,0
5,HONG KONG,No. of Vessels,53,0,0,1,0,6,32,14,0,0
6,__,Gross Tonnage,3238977,0,0,9235,0,180343,2813882,235517,0,0
7,__,Net Tonnage,1896386,0,0,3695,0,107579,1661925,123187,0,0
8,JAPAN,No. of Vessels,27,0,0,18,0,0,0,6,0,3
9,__,Gross Tonnage,1284980,0,0,1142349,0,0,0,134012,0,8619
10,__,Net Tonnage,398803,0,0,353439,0,0,0,42778,0,2586
11,TANZANIA,No. of Vessels,8,0,0,0,0,0,0,8,0,0
12,__,Gross Tonnage,3925,0,0,0,0,0,0,3925,0,0
13,__,Net Tonnage,2411,0,0,0,0,0,0,2411,0,0
14,TOGO,No. of Vessels,14,1,0,0,0,0,0,7,0,6
15,__,Gross Tonnage,50405,2924,0,0,0,0,0,30243,0,17238
16,__,Net Tonnage,23616,1468,0,0,0,0,0,16976,0,5172
17,LIBERIA,No. of Vessels,293,8,0,9,0,2,258,16,0,0
18,__,Gross Tonnage,12293874,41169,0,484095,0,65832,11376337,326441,0,0
19,__,Net Tonnage,6478278,19262,0,150863,0,38630,6137202,132321,0,0
20,GERMANY,No. of Vessels,14,0,0,0,0,0,13,0,0,1
21,__,Gross Tonnage,1202341,0,0,0,0,0,1091092,0,0,111249
22,__,Net Tonnage,653804,0,0,0,0,0,597960,0,0,55844
23,ITALY,No. of Vessels,1,1,0,0,0,0,0,0,0,0
24,__,Gross Tonnage,6700,6700,0,0,0,0,,0,0,0
25,__,Net Tonnage,6700,6700,0,0,0,0,0,0,0,0
26,PORTUGAL,No. of Vessels,29,1,0,0,0,0,27,1,0,0
27,__,Gross Tonnage,1361075,15549,0,0,0,0,1338274,7252,0,0
28,__,Net Tonnage,831139,6089,0,0,0,0,822068,2982,0,0
29,DENMARK,No. of Vessels,17,0,0,0,0,0,15,2,0,0
30,__,Gross Tonnage,733995,0,0,0,0,0,731820,2175,0,0
31,__,Net Tonnage,253648,0,0,0,0,0,252480,1168,0,0
32,FRANCE,No. of Vessels,4,0,0,0,0,0,4,0,0,0
33,__,Gross Tonnage,431405,0,0,0,0,0,431405,0,0,0
34,__,Net Tonnage,200436,0,0,0,0,0,200436,0,0,0
35,LUXEMBOURG,No. of Vessels,13,0,0,0,0,0,13,0,0,0
36,__,Gross Tonnage,238654,0,0,0,0,0,238654,0,0,0
37,__,Net Tonnage,134342,0,0,0,0,0,134342,0,0,0
38,MALTA,No. of Vessels,91,3,0,1,0,3,84,0,0,0
39,__,Gross Tonnage,4457291,7101,0,61321,0,85294,4303575,0,0,0
40,__,Net Tonnage,2028597,2130,0,23567,0,46387,1956513,0,0,0
41,UNITED KINGDOM,No. of Vessels,23,0,0,2,0,0,19,2,0,0
42,__,Gross Tonnage,1484852,0,0,120473,0,0,1351185,13194,0,0
43,__,Net Tonnage,793988,0,0,36783,0,0,751211,5994,0,0
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": true, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false, "Row Nesting": true}
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psa--4--604--A3
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"What is the computed difference between Gross Tonnage and Net Tonnage for the country ITALY?"
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": true, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": 1, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": 1, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
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{0}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10,11\n0,Country of Registration,Number & Tonnage,Type of Vessel,__,__,__,__,__,__,__,__,__\n1,__,__,Total,Others,Passengers Vessels,Vehicles Vessels,Live Sheep,Loose Materials,Containers,Generasl goods,Gas Tankers,Oil Tankers\n2,INDIA,No. of Vessels,3,0,0,0,0,0,3,0,0,0\n3,__,Gross Tonnage,76107,0,0,0,0,0,76107,0,0,0\n4,__,Net Tonnage,38199,0,0,0,0,0,38199,0,0,0\n5,HONG KONG,No. of Vessels,53,0,0,1,0,6,32,14,0,0\n6,__,Gross Tonnage,3238977,0,0,9235,0,180343,2813882,235517,0,0\n7,__,Net Tonnage,1896386,0,0,3695,0,107579,1661925,123187,0,0\n8,JAPAN,No. of Vessels,27,0,0,18,0,0,0,6,0,3\n9,__,Gross Tonnage,1284980,0,0,1142349,0,0,0,134012,0,8619\n10,__,Net Tonnage,398803,0,0,353439,0,0,0,42778,0,2586\n11,TANZANIA,No. of Vessels,8,0,0,0,0,0,0,8,0,0\n12,__,Gross Tonnage,3925,0,0,0,0,0,0,3925,0,0\n13,__,Net Tonnage,2411,0,0,0,0,0,0,2411,0,0\n14,TOGO,No. of Vessels,14,1,0,0,0,0,0,7,0,6\n15,__,Gross Tonnage,50405,2924,0,0,0,0,0,30243,0,17238\n16,__,Net Tonnage,23616,1468,0,0,0,0,0,16976,0,5172\n17,LIBERIA,No. of Vessels,293,8,0,9,0,2,258,16,0,0\n18,__,Gross Tonnage,12293874,41169,0,484095,0,65832,11376337,326441,0,0\n19,__,Net Tonnage,6478278,19262,0,150863,0,38630,6137202,132321,0,0\n20,GERMANY,No. of Vessels,14,0,0,0,0,0,13,0,0,1\n21,__,Gross Tonnage,1202341,0,0,0,0,0,1091092,0,0,111249\n22,__,Net Tonnage,653804,0,0,0,0,0,597960,0,0,55844\n23,ITALY,No. of Vessels,1,1,0,0,0,0,0,0,0,0\n24,__,Gross Tonnage,6700,6700,0,0,0,0,,0,0,0\n25,__,Net Tonnage,6700,6700,0,0,0,0,0,0,0,0\n26,PORTUGAL,No. of Vessels,29,1,0,0,0,0,27,1,0,0\n27,__,Gross Tonnage,1361075,15549,0,0,0,0,1338274,7252,0,0\n28,__,Net Tonnage,831139,6089,0,0,0,0,822068,2982,0,0\n29,DENMARK,No. of Vessels,17,0,0,0,0,0,15,2,0,0\n30,__,Gross Tonnage,733995,0,0,0,0,0,731820,2175,0,0\n31,__,Net Tonnage,253648,0,0,0,0,0,252480,1168,0,0\n32,FRANCE,No. of Vessels,4,0,0,0,0,0,4,0,0,0\n33,__,Gross Tonnage,431405,0,0,0,0,0,431405,0,0,0\n34,__,Net Tonnage,200436,0,0,0,0,0,200436,0,0,0\n35,LUXEMBOURG,No. of Vessels,13,0,0,0,0,0,13,0,0,0\n36,__,Gross Tonnage,238654,0,0,0,0,0,238654,0,0,0\n37,__,Net Tonnage,134342,0,0,0,0,0,134342,0,0,0\n38,MALTA,No. of Vessels,91,3,0,1,0,3,84,0,0,0\n39,__,Gross Tonnage,4457291,7101,0,61321,0,85294,4303575,0,0,0\n40,__,Net Tonnage,2028597,2130,0,23567,0,46387,1956513,0,0,0\n41,UNITED KINGDOM,No. of Vessels,23,0,0,2,0,0,19,2,0,0\n42,__,Gross Tonnage,1484852,0,0,120473,0,0,1351185,13194,0,0\n43,__,Net Tonnage,793988,0,0,36783,0,0,751211,5994,0,0\n` \\n\\nQuestion: `\"What is the computed difference between Gross Tonnage and Net Tonnage for the country ITALY?\"`\\n\\n # OUTPUT: \\nAnswer:"}]
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[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10,11\n0,Country of Registration,Number & Tonnage,Type of Vessel,__,__,__,__,__,__,__,__,__\n1,__,__,Total,Others,Passengers Vessels,Vehicles Vessels,Live Sheep,Loose Materials,Containers,Generasl goods,Gas Tankers,Oil Tankers\n2,INDIA,No. of Vessels,3,0,0,0,0,0,3,0,0,0\n3,__,Gross Tonnage,76107,0,0,0,0,0,76107,0,0,0\n4,__,Net Tonnage,38199,0,0,0,0,0,38199,0,0,0\n5,HONG KONG,No. of Vessels,53,0,0,1,0,6,32,14,0,0\n6,__,Gross Tonnage,3238977,0,0,9235,0,180343,2813882,235517,0,0\n7,__,Net Tonnage,1896386,0,0,3695,0,107579,1661925,123187,0,0\n8,JAPAN,No. of Vessels,27,0,0,18,0,0,0,6,0,3\n9,__,Gross Tonnage,1284980,0,0,1142349,0,0,0,134012,0,8619\n10,__,Net Tonnage,398803,0,0,353439,0,0,0,42778,0,2586\n11,TANZANIA,No. of Vessels,8,0,0,0,0,0,0,8,0,0\n12,__,Gross Tonnage,3925,0,0,0,0,0,0,3925,0,0\n13,__,Net Tonnage,2411,0,0,0,0,0,0,2411,0,0\n14,TOGO,No. of Vessels,14,1,0,0,0,0,0,7,0,6\n15,__,Gross Tonnage,50405,2924,0,0,0,0,0,30243,0,17238\n16,__,Net Tonnage,23616,1468,0,0,0,0,0,16976,0,5172\n17,LIBERIA,No. of Vessels,293,8,0,9,0,2,258,16,0,0\n18,__,Gross Tonnage,12293874,41169,0,484095,0,65832,11376337,326441,0,0\n19,__,Net Tonnage,6478278,19262,0,150863,0,38630,6137202,132321,0,0\n20,GERMANY,No. of Vessels,14,0,0,0,0,0,13,0,0,1\n21,__,Gross Tonnage,1202341,0,0,0,0,0,1091092,0,0,111249\n22,__,Net Tonnage,653804,0,0,0,0,0,597960,0,0,55844\n23,ITALY,No. of Vessels,1,1,0,0,0,0,0,0,0,0\n24,__,Gross Tonnage,6700,6700,0,0,0,0,,0,0,0\n25,__,Net Tonnage,6700,6700,0,0,0,0,0,0,0,0\n26,PORTUGAL,No. of Vessels,29,1,0,0,0,0,27,1,0,0\n27,__,Gross Tonnage,1361075,15549,0,0,0,0,1338274,7252,0,0\n28,__,Net Tonnage,831139,6089,0,0,0,0,822068,2982,0,0\n29,DENMARK,No. of Vessels,17,0,0,0,0,0,15,2,0,0\n30,__,Gross Tonnage,733995,0,0,0,0,0,731820,2175,0,0\n31,__,Net Tonnage,253648,0,0,0,0,0,252480,1168,0,0\n32,FRANCE,No. of Vessels,4,0,0,0,0,0,4,0,0,0\n33,__,Gross Tonnage,431405,0,0,0,0,0,431405,0,0,0\n34,__,Net Tonnage,200436,0,0,0,0,0,200436,0,0,0\n35,LUXEMBOURG,No. of Vessels,13,0,0,0,0,0,13,0,0,0\n36,__,Gross Tonnage,238654,0,0,0,0,0,238654,0,0,0\n37,__,Net Tonnage,134342,0,0,0,0,0,134342,0,0,0\n38,MALTA,No. of Vessels,91,3,0,1,0,3,84,0,0,0\n39,__,Gross Tonnage,4457291,7101,0,61321,0,85294,4303575,0,0,0\n40,__,Net Tonnage,2028597,2130,0,23567,0,46387,1956513,0,0,0\n41,UNITED KINGDOM,No. of Vessels,23,0,0,2,0,0,19,2,0,0\n42,__,Gross Tonnage,1484852,0,0,120473,0,0,1351185,13194,0,0\n43,__,Net Tonnage,793988,0,0,36783,0,0,751211,5994,0,0\n` \\n\\nQuestion: `\"What is the computed difference between Gross Tonnage and Net Tonnage for the country ITALY?\"`\\n\\n # OUTPUT: \\nAnswer:"}]
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realWorldHCTs
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|
psa--4--604
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./tables/csvs/psa--4--604.csv
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./tables/images/psa--4--604.jpg
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,0,1,2,3,4,5,6,7,8,9,10,11
0,Country of Registration,Number & Tonnage,Type of Vessel,__,__,__,__,__,__,__,__,__
1,__,__,Total,Others,Passengers Vessels,Vehicles Vessels,Live Sheep,Loose Materials,Containers,Generasl goods,Gas Tankers,Oil Tankers
2,INDIA,No. of Vessels,3,0,0,0,0,0,3,0,0,0
3,__,Gross Tonnage,76107,0,0,0,0,0,76107,0,0,0
4,__,Net Tonnage,38199,0,0,0,0,0,38199,0,0,0
5,HONG KONG,No. of Vessels,53,0,0,1,0,6,32,14,0,0
6,__,Gross Tonnage,3238977,0,0,9235,0,180343,2813882,235517,0,0
7,__,Net Tonnage,1896386,0,0,3695,0,107579,1661925,123187,0,0
8,JAPAN,No. of Vessels,27,0,0,18,0,0,0,6,0,3
9,__,Gross Tonnage,1284980,0,0,1142349,0,0,0,134012,0,8619
10,__,Net Tonnage,398803,0,0,353439,0,0,0,42778,0,2586
11,TANZANIA,No. of Vessels,8,0,0,0,0,0,0,8,0,0
12,__,Gross Tonnage,3925,0,0,0,0,0,0,3925,0,0
13,__,Net Tonnage,2411,0,0,0,0,0,0,2411,0,0
14,TOGO,No. of Vessels,14,1,0,0,0,0,0,7,0,6
15,__,Gross Tonnage,50405,2924,0,0,0,0,0,30243,0,17238
16,__,Net Tonnage,23616,1468,0,0,0,0,0,16976,0,5172
17,LIBERIA,No. of Vessels,293,8,0,9,0,2,258,16,0,0
18,__,Gross Tonnage,12293874,41169,0,484095,0,65832,11376337,326441,0,0
19,__,Net Tonnage,6478278,19262,0,150863,0,38630,6137202,132321,0,0
20,GERMANY,No. of Vessels,14,0,0,0,0,0,13,0,0,1
21,__,Gross Tonnage,1202341,0,0,0,0,0,1091092,0,0,111249
22,__,Net Tonnage,653804,0,0,0,0,0,597960,0,0,55844
23,ITALY,No. of Vessels,1,1,0,0,0,0,0,0,0,0
24,__,Gross Tonnage,6700,6700,0,0,0,0,,0,0,0
25,__,Net Tonnage,6700,6700,0,0,0,0,0,0,0,0
26,PORTUGAL,No. of Vessels,29,1,0,0,0,0,27,1,0,0
27,__,Gross Tonnage,1361075,15549,0,0,0,0,1338274,7252,0,0
28,__,Net Tonnage,831139,6089,0,0,0,0,822068,2982,0,0
29,DENMARK,No. of Vessels,17,0,0,0,0,0,15,2,0,0
30,__,Gross Tonnage,733995,0,0,0,0,0,731820,2175,0,0
31,__,Net Tonnage,253648,0,0,0,0,0,252480,1168,0,0
32,FRANCE,No. of Vessels,4,0,0,0,0,0,4,0,0,0
33,__,Gross Tonnage,431405,0,0,0,0,0,431405,0,0,0
34,__,Net Tonnage,200436,0,0,0,0,0,200436,0,0,0
35,LUXEMBOURG,No. of Vessels,13,0,0,0,0,0,13,0,0,0
36,__,Gross Tonnage,238654,0,0,0,0,0,238654,0,0,0
37,__,Net Tonnage,134342,0,0,0,0,0,134342,0,0,0
38,MALTA,No. of Vessels,91,3,0,1,0,3,84,0,0,0
39,__,Gross Tonnage,4457291,7101,0,61321,0,85294,4303575,0,0,0
40,__,Net Tonnage,2028597,2130,0,23567,0,46387,1956513,0,0,0
41,UNITED KINGDOM,No. of Vessels,23,0,0,2,0,0,19,2,0,0
42,__,Gross Tonnage,1484852,0,0,120473,0,0,1351185,13194,0,0
43,__,Net Tonnage,793988,0,0,36783,0,0,751211,5994,0,0
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{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": true, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false, "Row Nesting": true}
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psa--4--604--A2
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"For the country 'GERMANY', what is the difference between the Gross Tonnage and Net Tonnage of vessels registered?"
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": true, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": 1, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": 1, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
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{548537}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10,11\n0,Country of Registration,Number & Tonnage,Type of Vessel,__,__,__,__,__,__,__,__,__\n1,__,__,Total,Others,Passengers Vessels,Vehicles Vessels,Live Sheep,Loose Materials,Containers,Generasl goods,Gas Tankers,Oil Tankers\n2,INDIA,No. of Vessels,3,0,0,0,0,0,3,0,0,0\n3,__,Gross Tonnage,76107,0,0,0,0,0,76107,0,0,0\n4,__,Net Tonnage,38199,0,0,0,0,0,38199,0,0,0\n5,HONG KONG,No. of Vessels,53,0,0,1,0,6,32,14,0,0\n6,__,Gross Tonnage,3238977,0,0,9235,0,180343,2813882,235517,0,0\n7,__,Net Tonnage,1896386,0,0,3695,0,107579,1661925,123187,0,0\n8,JAPAN,No. of Vessels,27,0,0,18,0,0,0,6,0,3\n9,__,Gross Tonnage,1284980,0,0,1142349,0,0,0,134012,0,8619\n10,__,Net Tonnage,398803,0,0,353439,0,0,0,42778,0,2586\n11,TANZANIA,No. of Vessels,8,0,0,0,0,0,0,8,0,0\n12,__,Gross Tonnage,3925,0,0,0,0,0,0,3925,0,0\n13,__,Net Tonnage,2411,0,0,0,0,0,0,2411,0,0\n14,TOGO,No. of Vessels,14,1,0,0,0,0,0,7,0,6\n15,__,Gross Tonnage,50405,2924,0,0,0,0,0,30243,0,17238\n16,__,Net Tonnage,23616,1468,0,0,0,0,0,16976,0,5172\n17,LIBERIA,No. of Vessels,293,8,0,9,0,2,258,16,0,0\n18,__,Gross Tonnage,12293874,41169,0,484095,0,65832,11376337,326441,0,0\n19,__,Net Tonnage,6478278,19262,0,150863,0,38630,6137202,132321,0,0\n20,GERMANY,No. of Vessels,14,0,0,0,0,0,13,0,0,1\n21,__,Gross Tonnage,1202341,0,0,0,0,0,1091092,0,0,111249\n22,__,Net Tonnage,653804,0,0,0,0,0,597960,0,0,55844\n23,ITALY,No. of Vessels,1,1,0,0,0,0,0,0,0,0\n24,__,Gross Tonnage,6700,6700,0,0,0,0,,0,0,0\n25,__,Net Tonnage,6700,6700,0,0,0,0,0,0,0,0\n26,PORTUGAL,No. of Vessels,29,1,0,0,0,0,27,1,0,0\n27,__,Gross Tonnage,1361075,15549,0,0,0,0,1338274,7252,0,0\n28,__,Net Tonnage,831139,6089,0,0,0,0,822068,2982,0,0\n29,DENMARK,No. of Vessels,17,0,0,0,0,0,15,2,0,0\n30,__,Gross Tonnage,733995,0,0,0,0,0,731820,2175,0,0\n31,__,Net Tonnage,253648,0,0,0,0,0,252480,1168,0,0\n32,FRANCE,No. of Vessels,4,0,0,0,0,0,4,0,0,0\n33,__,Gross Tonnage,431405,0,0,0,0,0,431405,0,0,0\n34,__,Net Tonnage,200436,0,0,0,0,0,200436,0,0,0\n35,LUXEMBOURG,No. of Vessels,13,0,0,0,0,0,13,0,0,0\n36,__,Gross Tonnage,238654,0,0,0,0,0,238654,0,0,0\n37,__,Net Tonnage,134342,0,0,0,0,0,134342,0,0,0\n38,MALTA,No. of Vessels,91,3,0,1,0,3,84,0,0,0\n39,__,Gross Tonnage,4457291,7101,0,61321,0,85294,4303575,0,0,0\n40,__,Net Tonnage,2028597,2130,0,23567,0,46387,1956513,0,0,0\n41,UNITED KINGDOM,No. of Vessels,23,0,0,2,0,0,19,2,0,0\n42,__,Gross Tonnage,1484852,0,0,120473,0,0,1351185,13194,0,0\n43,__,Net Tonnage,793988,0,0,36783,0,0,751211,5994,0,0\n` \\n\\nQuestion: `\"For the country 'GERMANY', what is the difference between the Gross Tonnage and Net Tonnage of vessels registered?\"`\\n\\n # OUTPUT: \\nAnswer:"}]
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[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10,11\n0,Country of Registration,Number & Tonnage,Type of Vessel,__,__,__,__,__,__,__,__,__\n1,__,__,Total,Others,Passengers Vessels,Vehicles Vessels,Live Sheep,Loose Materials,Containers,Generasl goods,Gas Tankers,Oil Tankers\n2,INDIA,No. of Vessels,3,0,0,0,0,0,3,0,0,0\n3,__,Gross Tonnage,76107,0,0,0,0,0,76107,0,0,0\n4,__,Net Tonnage,38199,0,0,0,0,0,38199,0,0,0\n5,HONG KONG,No. of Vessels,53,0,0,1,0,6,32,14,0,0\n6,__,Gross Tonnage,3238977,0,0,9235,0,180343,2813882,235517,0,0\n7,__,Net Tonnage,1896386,0,0,3695,0,107579,1661925,123187,0,0\n8,JAPAN,No. of Vessels,27,0,0,18,0,0,0,6,0,3\n9,__,Gross Tonnage,1284980,0,0,1142349,0,0,0,134012,0,8619\n10,__,Net Tonnage,398803,0,0,353439,0,0,0,42778,0,2586\n11,TANZANIA,No. of Vessels,8,0,0,0,0,0,0,8,0,0\n12,__,Gross Tonnage,3925,0,0,0,0,0,0,3925,0,0\n13,__,Net Tonnage,2411,0,0,0,0,0,0,2411,0,0\n14,TOGO,No. of Vessels,14,1,0,0,0,0,0,7,0,6\n15,__,Gross Tonnage,50405,2924,0,0,0,0,0,30243,0,17238\n16,__,Net Tonnage,23616,1468,0,0,0,0,0,16976,0,5172\n17,LIBERIA,No. of Vessels,293,8,0,9,0,2,258,16,0,0\n18,__,Gross Tonnage,12293874,41169,0,484095,0,65832,11376337,326441,0,0\n19,__,Net Tonnage,6478278,19262,0,150863,0,38630,6137202,132321,0,0\n20,GERMANY,No. of Vessels,14,0,0,0,0,0,13,0,0,1\n21,__,Gross Tonnage,1202341,0,0,0,0,0,1091092,0,0,111249\n22,__,Net Tonnage,653804,0,0,0,0,0,597960,0,0,55844\n23,ITALY,No. of Vessels,1,1,0,0,0,0,0,0,0,0\n24,__,Gross Tonnage,6700,6700,0,0,0,0,,0,0,0\n25,__,Net Tonnage,6700,6700,0,0,0,0,0,0,0,0\n26,PORTUGAL,No. of Vessels,29,1,0,0,0,0,27,1,0,0\n27,__,Gross Tonnage,1361075,15549,0,0,0,0,1338274,7252,0,0\n28,__,Net Tonnage,831139,6089,0,0,0,0,822068,2982,0,0\n29,DENMARK,No. of Vessels,17,0,0,0,0,0,15,2,0,0\n30,__,Gross Tonnage,733995,0,0,0,0,0,731820,2175,0,0\n31,__,Net Tonnage,253648,0,0,0,0,0,252480,1168,0,0\n32,FRANCE,No. of Vessels,4,0,0,0,0,0,4,0,0,0\n33,__,Gross Tonnage,431405,0,0,0,0,0,431405,0,0,0\n34,__,Net Tonnage,200436,0,0,0,0,0,200436,0,0,0\n35,LUXEMBOURG,No. of Vessels,13,0,0,0,0,0,13,0,0,0\n36,__,Gross Tonnage,238654,0,0,0,0,0,238654,0,0,0\n37,__,Net Tonnage,134342,0,0,0,0,0,134342,0,0,0\n38,MALTA,No. of Vessels,91,3,0,1,0,3,84,0,0,0\n39,__,Gross Tonnage,4457291,7101,0,61321,0,85294,4303575,0,0,0\n40,__,Net Tonnage,2028597,2130,0,23567,0,46387,1956513,0,0,0\n41,UNITED KINGDOM,No. of Vessels,23,0,0,2,0,0,19,2,0,0\n42,__,Gross Tonnage,1484852,0,0,120473,0,0,1351185,13194,0,0\n43,__,Net Tonnage,793988,0,0,36783,0,0,751211,5994,0,0\n` \\n\\nQuestion: `\"For the country 'GERMANY', what is the difference between the Gross Tonnage and Net Tonnage of vessels registered?\"`\\n\\n # OUTPUT: \\nAnswer:"}]
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realWorldHCTs
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psa--4--604
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./tables/csvs/psa--4--604.csv
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./tables/images/psa--4--604.jpg
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,0,1,2,3,4,5,6,7,8,9,10,11
0,Country of Registration,Number & Tonnage,Type of Vessel,__,__,__,__,__,__,__,__,__
1,__,__,Total,Others,Passengers Vessels,Vehicles Vessels,Live Sheep,Loose Materials,Containers,Generasl goods,Gas Tankers,Oil Tankers
2,INDIA,No. of Vessels,3,0,0,0,0,0,3,0,0,0
3,__,Gross Tonnage,76107,0,0,0,0,0,76107,0,0,0
4,__,Net Tonnage,38199,0,0,0,0,0,38199,0,0,0
5,HONG KONG,No. of Vessels,53,0,0,1,0,6,32,14,0,0
6,__,Gross Tonnage,3238977,0,0,9235,0,180343,2813882,235517,0,0
7,__,Net Tonnage,1896386,0,0,3695,0,107579,1661925,123187,0,0
8,JAPAN,No. of Vessels,27,0,0,18,0,0,0,6,0,3
9,__,Gross Tonnage,1284980,0,0,1142349,0,0,0,134012,0,8619
10,__,Net Tonnage,398803,0,0,353439,0,0,0,42778,0,2586
11,TANZANIA,No. of Vessels,8,0,0,0,0,0,0,8,0,0
12,__,Gross Tonnage,3925,0,0,0,0,0,0,3925,0,0
13,__,Net Tonnage,2411,0,0,0,0,0,0,2411,0,0
14,TOGO,No. of Vessels,14,1,0,0,0,0,0,7,0,6
15,__,Gross Tonnage,50405,2924,0,0,0,0,0,30243,0,17238
16,__,Net Tonnage,23616,1468,0,0,0,0,0,16976,0,5172
17,LIBERIA,No. of Vessels,293,8,0,9,0,2,258,16,0,0
18,__,Gross Tonnage,12293874,41169,0,484095,0,65832,11376337,326441,0,0
19,__,Net Tonnage,6478278,19262,0,150863,0,38630,6137202,132321,0,0
20,GERMANY,No. of Vessels,14,0,0,0,0,0,13,0,0,1
21,__,Gross Tonnage,1202341,0,0,0,0,0,1091092,0,0,111249
22,__,Net Tonnage,653804,0,0,0,0,0,597960,0,0,55844
23,ITALY,No. of Vessels,1,1,0,0,0,0,0,0,0,0
24,__,Gross Tonnage,6700,6700,0,0,0,0,,0,0,0
25,__,Net Tonnage,6700,6700,0,0,0,0,0,0,0,0
26,PORTUGAL,No. of Vessels,29,1,0,0,0,0,27,1,0,0
27,__,Gross Tonnage,1361075,15549,0,0,0,0,1338274,7252,0,0
28,__,Net Tonnage,831139,6089,0,0,0,0,822068,2982,0,0
29,DENMARK,No. of Vessels,17,0,0,0,0,0,15,2,0,0
30,__,Gross Tonnage,733995,0,0,0,0,0,731820,2175,0,0
31,__,Net Tonnage,253648,0,0,0,0,0,252480,1168,0,0
32,FRANCE,No. of Vessels,4,0,0,0,0,0,4,0,0,0
33,__,Gross Tonnage,431405,0,0,0,0,0,431405,0,0,0
34,__,Net Tonnage,200436,0,0,0,0,0,200436,0,0,0
35,LUXEMBOURG,No. of Vessels,13,0,0,0,0,0,13,0,0,0
36,__,Gross Tonnage,238654,0,0,0,0,0,238654,0,0,0
37,__,Net Tonnage,134342,0,0,0,0,0,134342,0,0,0
38,MALTA,No. of Vessels,91,3,0,1,0,3,84,0,0,0
39,__,Gross Tonnage,4457291,7101,0,61321,0,85294,4303575,0,0,0
40,__,Net Tonnage,2028597,2130,0,23567,0,46387,1956513,0,0,0
41,UNITED KINGDOM,No. of Vessels,23,0,0,2,0,0,19,2,0,0
42,__,Gross Tonnage,1484852,0,0,120473,0,0,1351185,13194,0,0
43,__,Net Tonnage,793988,0,0,36783,0,0,751211,5994,0,0
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": true, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false, "Row Nesting": true}
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psa--4--604--A0
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What is the Gross Tonnage for countries India and Hong Kong?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": true, "Row Filter Num Of Conditions": 1, "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": 1, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
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{76107} || {3238977}
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[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10,11\n0,Country of Registration,Number & Tonnage,Type of Vessel,__,__,__,__,__,__,__,__,__\n1,__,__,Total,Others,Passengers Vessels,Vehicles Vessels,Live Sheep,Loose Materials,Containers,Generasl goods,Gas Tankers,Oil Tankers\n2,INDIA,No. of Vessels,3,0,0,0,0,0,3,0,0,0\n3,__,Gross Tonnage,76107,0,0,0,0,0,76107,0,0,0\n4,__,Net Tonnage,38199,0,0,0,0,0,38199,0,0,0\n5,HONG KONG,No. of Vessels,53,0,0,1,0,6,32,14,0,0\n6,__,Gross Tonnage,3238977,0,0,9235,0,180343,2813882,235517,0,0\n7,__,Net Tonnage,1896386,0,0,3695,0,107579,1661925,123187,0,0\n8,JAPAN,No. of Vessels,27,0,0,18,0,0,0,6,0,3\n9,__,Gross Tonnage,1284980,0,0,1142349,0,0,0,134012,0,8619\n10,__,Net Tonnage,398803,0,0,353439,0,0,0,42778,0,2586\n11,TANZANIA,No. of Vessels,8,0,0,0,0,0,0,8,0,0\n12,__,Gross Tonnage,3925,0,0,0,0,0,0,3925,0,0\n13,__,Net Tonnage,2411,0,0,0,0,0,0,2411,0,0\n14,TOGO,No. of Vessels,14,1,0,0,0,0,0,7,0,6\n15,__,Gross Tonnage,50405,2924,0,0,0,0,0,30243,0,17238\n16,__,Net Tonnage,23616,1468,0,0,0,0,0,16976,0,5172\n17,LIBERIA,No. of Vessels,293,8,0,9,0,2,258,16,0,0\n18,__,Gross Tonnage,12293874,41169,0,484095,0,65832,11376337,326441,0,0\n19,__,Net Tonnage,6478278,19262,0,150863,0,38630,6137202,132321,0,0\n20,GERMANY,No. of Vessels,14,0,0,0,0,0,13,0,0,1\n21,__,Gross Tonnage,1202341,0,0,0,0,0,1091092,0,0,111249\n22,__,Net Tonnage,653804,0,0,0,0,0,597960,0,0,55844\n23,ITALY,No. of Vessels,1,1,0,0,0,0,0,0,0,0\n24,__,Gross Tonnage,6700,6700,0,0,0,0,,0,0,0\n25,__,Net Tonnage,6700,6700,0,0,0,0,0,0,0,0\n26,PORTUGAL,No. of Vessels,29,1,0,0,0,0,27,1,0,0\n27,__,Gross Tonnage,1361075,15549,0,0,0,0,1338274,7252,0,0\n28,__,Net Tonnage,831139,6089,0,0,0,0,822068,2982,0,0\n29,DENMARK,No. of Vessels,17,0,0,0,0,0,15,2,0,0\n30,__,Gross Tonnage,733995,0,0,0,0,0,731820,2175,0,0\n31,__,Net Tonnage,253648,0,0,0,0,0,252480,1168,0,0\n32,FRANCE,No. of Vessels,4,0,0,0,0,0,4,0,0,0\n33,__,Gross Tonnage,431405,0,0,0,0,0,431405,0,0,0\n34,__,Net Tonnage,200436,0,0,0,0,0,200436,0,0,0\n35,LUXEMBOURG,No. of Vessels,13,0,0,0,0,0,13,0,0,0\n36,__,Gross Tonnage,238654,0,0,0,0,0,238654,0,0,0\n37,__,Net Tonnage,134342,0,0,0,0,0,134342,0,0,0\n38,MALTA,No. of Vessels,91,3,0,1,0,3,84,0,0,0\n39,__,Gross Tonnage,4457291,7101,0,61321,0,85294,4303575,0,0,0\n40,__,Net Tonnage,2028597,2130,0,23567,0,46387,1956513,0,0,0\n41,UNITED KINGDOM,No. of Vessels,23,0,0,2,0,0,19,2,0,0\n42,__,Gross Tonnage,1484852,0,0,120473,0,0,1351185,13194,0,0\n43,__,Net Tonnage,793988,0,0,36783,0,0,751211,5994,0,0\n` \\n\\nQuestion: `What is the Gross Tonnage for countries India and Hong Kong?`\\n\\n # OUTPUT: \\nAnswer:"}]
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[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10,11\n0,Country of Registration,Number & Tonnage,Type of Vessel,__,__,__,__,__,__,__,__,__\n1,__,__,Total,Others,Passengers Vessels,Vehicles Vessels,Live Sheep,Loose Materials,Containers,Generasl goods,Gas Tankers,Oil Tankers\n2,INDIA,No. of Vessels,3,0,0,0,0,0,3,0,0,0\n3,__,Gross Tonnage,76107,0,0,0,0,0,76107,0,0,0\n4,__,Net Tonnage,38199,0,0,0,0,0,38199,0,0,0\n5,HONG KONG,No. of Vessels,53,0,0,1,0,6,32,14,0,0\n6,__,Gross Tonnage,3238977,0,0,9235,0,180343,2813882,235517,0,0\n7,__,Net Tonnage,1896386,0,0,3695,0,107579,1661925,123187,0,0\n8,JAPAN,No. of Vessels,27,0,0,18,0,0,0,6,0,3\n9,__,Gross Tonnage,1284980,0,0,1142349,0,0,0,134012,0,8619\n10,__,Net Tonnage,398803,0,0,353439,0,0,0,42778,0,2586\n11,TANZANIA,No. of Vessels,8,0,0,0,0,0,0,8,0,0\n12,__,Gross Tonnage,3925,0,0,0,0,0,0,3925,0,0\n13,__,Net Tonnage,2411,0,0,0,0,0,0,2411,0,0\n14,TOGO,No. of Vessels,14,1,0,0,0,0,0,7,0,6\n15,__,Gross Tonnage,50405,2924,0,0,0,0,0,30243,0,17238\n16,__,Net Tonnage,23616,1468,0,0,0,0,0,16976,0,5172\n17,LIBERIA,No. of Vessels,293,8,0,9,0,2,258,16,0,0\n18,__,Gross Tonnage,12293874,41169,0,484095,0,65832,11376337,326441,0,0\n19,__,Net Tonnage,6478278,19262,0,150863,0,38630,6137202,132321,0,0\n20,GERMANY,No. of Vessels,14,0,0,0,0,0,13,0,0,1\n21,__,Gross Tonnage,1202341,0,0,0,0,0,1091092,0,0,111249\n22,__,Net Tonnage,653804,0,0,0,0,0,597960,0,0,55844\n23,ITALY,No. of Vessels,1,1,0,0,0,0,0,0,0,0\n24,__,Gross Tonnage,6700,6700,0,0,0,0,,0,0,0\n25,__,Net Tonnage,6700,6700,0,0,0,0,0,0,0,0\n26,PORTUGAL,No. of Vessels,29,1,0,0,0,0,27,1,0,0\n27,__,Gross Tonnage,1361075,15549,0,0,0,0,1338274,7252,0,0\n28,__,Net Tonnage,831139,6089,0,0,0,0,822068,2982,0,0\n29,DENMARK,No. of Vessels,17,0,0,0,0,0,15,2,0,0\n30,__,Gross Tonnage,733995,0,0,0,0,0,731820,2175,0,0\n31,__,Net Tonnage,253648,0,0,0,0,0,252480,1168,0,0\n32,FRANCE,No. of Vessels,4,0,0,0,0,0,4,0,0,0\n33,__,Gross Tonnage,431405,0,0,0,0,0,431405,0,0,0\n34,__,Net Tonnage,200436,0,0,0,0,0,200436,0,0,0\n35,LUXEMBOURG,No. of Vessels,13,0,0,0,0,0,13,0,0,0\n36,__,Gross Tonnage,238654,0,0,0,0,0,238654,0,0,0\n37,__,Net Tonnage,134342,0,0,0,0,0,134342,0,0,0\n38,MALTA,No. of Vessels,91,3,0,1,0,3,84,0,0,0\n39,__,Gross Tonnage,4457291,7101,0,61321,0,85294,4303575,0,0,0\n40,__,Net Tonnage,2028597,2130,0,23567,0,46387,1956513,0,0,0\n41,UNITED KINGDOM,No. of Vessels,23,0,0,2,0,0,19,2,0,0\n42,__,Gross Tonnage,1484852,0,0,120473,0,0,1351185,13194,0,0\n43,__,Net Tonnage,793988,0,0,36783,0,0,751211,5994,0,0\n` \\n\\nQuestion: `What is the Gross Tonnage for countries India and Hong Kong?`\\n\\n # OUTPUT: \\nAnswer:"}]
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realWorldHCTs
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|
arxiv--4--6404
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./tables/csvs/arxiv--4--6404.csv
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./tables/images/arxiv--4--6404.jpg
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,0,1,2,3,4,5,6,7,8,9,10
0,Dataset,NuTime,HC2,ROCKET,Arsenal,DrCIF,CIF,HC1,TDE,STC,DTW-C
1,Articulary WordRecognition,0.993,0.993,0.997,0.993,0.980,0.983,0.990,0.993,0.990,0.987
2,AtrialFibrillation,0.200,0.267,0.200,0.133,0.333,0.333,0.133,0.267,0.267,0.200
3,BasicMotions,1.000,1.000,1.000,1.000,1.000,1.000,1.000,1.000,0.975,0.975
4,Cricket,1.000,1.000,1.000,1.000,0.986,0.986,0.986,0.986,0.986,1.000
5,DuckDuckGeese,0.540,0.560,0.500,0.460,0.540,0.440,0.480,0.340,0.360,0.580
6,ERing,0.993,0.989,0.985,0.981,0.993,0.981,0.970,0.963,0.889,0.915
7,Eigen Worms,0.916,0.947,0.908,0.901,0.924,0.916,0.634,0.939,0.779,0.618
8,Epilepsy,0.894,1.000,0.978,0.986,0.978,0.986,1.000,0.993,0.993,0.964
9,EthanolConcentration,0.494,0.772,0.445,0.460,0.692,0.734,0.791,0.555,0.821,0.323
10,FaceDetection,0.684,0.660,0.648,0.653,0.620,0.627,0.656,0.564,0.646,0.529
11,FingerMovements,0.630,0.530,0.540,0.530,0.600,0.520,0.550,0.560,0.510,0.530
12,HandMovementDirection,0.527,0.473,0.459,0.473,0.527,0.595,0.446,0.378,0.392,0.189
13,Handwriting,0.229,0.548,0.567,0.541,0.346,0.356,0.482,0.561,0.288,0.607
14,Heartbeat,0.785,0.732,0.741,0.741,0.790,0.780,0.722,0.746,0.722,0.717
15,LSST,0.721,0.643,0.622,0.642,0.556,0.573,0.575,0.570,0.587,0.551
16,Libras,0.967,0.933,0.900,0.906,0.894,0.911,0.900,0.850,0.861,0.872
17,MotorImagery,0.630,0.540,0.510,0.530,0.440,0.500,0.610,0.590,0.500,0.500
18,NATOPS,0.944,0.894,0.883,0.883,0.844,0.856,0.889,0.839,0.872,0.883
19,PEMS-SF,0.931,1.000,0.821,0.827,1.000,1.000,0.983,1.000,0.971,0.711
20,PenDigits,0.993,0.979,0.985,0.983,0.977,0.967,0.934,0.935,0.941,0.977
21,PhonemeSpectra,0.349,0.290,0.259,0.277,0.308,0.265,0.321,0.246,0.295,0.151
22,RacketSports,0.941,0.908,0.914,0.901,0.901,0.882,0.888,0.836,0.888,0.803
23,SelfRegulationSCP1,0.887,0.891,0.843,0.846,0.877,0.860,0.853,0.812,0.840,0.775
24,SelfRegulationSCP2,0.611,0.500,0.494,0.494,0.494,0.500,0.461,0.500,0.533,0.539
25,StandWalkJump,0.733,0.467,0.600,0.533,0.533,0.400,0.333,0.333,0.467,0.200
26,UWaveGestureLibrary,0.963,0.928,0.931,0.928,0.909,0.925,0.891,0.925,0.850,0.903
27,Average,0.752,0.748,0.721,0.716,0.732,0.726,0.711,0.703,0.701,0.654
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
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arxiv--4--6404--M0
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What is the average CIF value across all datasets?
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "", "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "", "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": "1", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": true, "Aggregation Aggregation On Plain": true, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": true, "Aggregation Grouping Local": false, "Aggregation Grouping Global": true, "Aggregation Aggregation In Table Present": true, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": "1", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
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{0.726}
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[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10\n0,Dataset,NuTime,HC2,ROCKET,Arsenal,DrCIF,CIF,HC1,TDE,STC,DTW-C\n1,Articulary WordRecognition,0.993,0.993,0.997,0.993,0.980,0.983,0.990,0.993,0.990,0.987\n2,AtrialFibrillation,0.200,0.267,0.200,0.133,0.333,0.333,0.133,0.267,0.267,0.200\n3,BasicMotions,1.000,1.000,1.000,1.000,1.000,1.000,1.000,1.000,0.975,0.975\n4,Cricket,1.000,1.000,1.000,1.000,0.986,0.986,0.986,0.986,0.986,1.000\n5,DuckDuckGeese,0.540,0.560,0.500,0.460,0.540,0.440,0.480,0.340,0.360,0.580\n6,ERing,0.993,0.989,0.985,0.981,0.993,0.981,0.970,0.963,0.889,0.915\n7,Eigen Worms,0.916,0.947,0.908,0.901,0.924,0.916,0.634,0.939,0.779,0.618\n8,Epilepsy,0.894,1.000,0.978,0.986,0.978,0.986,1.000,0.993,0.993,0.964\n9,EthanolConcentration,0.494,0.772,0.445,0.460,0.692,0.734,0.791,0.555,0.821,0.323\n10,FaceDetection,0.684,0.660,0.648,0.653,0.620,0.627,0.656,0.564,0.646,0.529\n11,FingerMovements,0.630,0.530,0.540,0.530,0.600,0.520,0.550,0.560,0.510,0.530\n12,HandMovementDirection,0.527,0.473,0.459,0.473,0.527,0.595,0.446,0.378,0.392,0.189\n13,Handwriting,0.229,0.548,0.567,0.541,0.346,0.356,0.482,0.561,0.288,0.607\n14,Heartbeat,0.785,0.732,0.741,0.741,0.790,0.780,0.722,0.746,0.722,0.717\n15,LSST,0.721,0.643,0.622,0.642,0.556,0.573,0.575,0.570,0.587,0.551\n16,Libras,0.967,0.933,0.900,0.906,0.894,0.911,0.900,0.850,0.861,0.872\n17,MotorImagery,0.630,0.540,0.510,0.530,0.440,0.500,0.610,0.590,0.500,0.500\n18,NATOPS,0.944,0.894,0.883,0.883,0.844,0.856,0.889,0.839,0.872,0.883\n19,PEMS-SF,0.931,1.000,0.821,0.827,1.000,1.000,0.983,1.000,0.971,0.711\n20,PenDigits,0.993,0.979,0.985,0.983,0.977,0.967,0.934,0.935,0.941,0.977\n21,PhonemeSpectra,0.349,0.290,0.259,0.277,0.308,0.265,0.321,0.246,0.295,0.151\n22,RacketSports,0.941,0.908,0.914,0.901,0.901,0.882,0.888,0.836,0.888,0.803\n23,SelfRegulationSCP1,0.887,0.891,0.843,0.846,0.877,0.860,0.853,0.812,0.840,0.775\n24,SelfRegulationSCP2,0.611,0.500,0.494,0.494,0.494,0.500,0.461,0.500,0.533,0.539\n25,StandWalkJump,0.733,0.467,0.600,0.533,0.533,0.400,0.333,0.333,0.467,0.200\n26,UWaveGestureLibrary,0.963,0.928,0.931,0.928,0.909,0.925,0.891,0.925,0.850,0.903\n27,Average,0.752,0.748,0.721,0.716,0.732,0.726,0.711,0.703,0.701,0.654\n` \\n\\nQuestion: `What is the average CIF value across all datasets?`\\n\\n # OUTPUT: \\nAnswer:"}]
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[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10\n0,Dataset,NuTime,HC2,ROCKET,Arsenal,DrCIF,CIF,HC1,TDE,STC,DTW-C\n1,Articulary WordRecognition,0.993,0.993,0.997,0.993,0.980,0.983,0.990,0.993,0.990,0.987\n2,AtrialFibrillation,0.200,0.267,0.200,0.133,0.333,0.333,0.133,0.267,0.267,0.200\n3,BasicMotions,1.000,1.000,1.000,1.000,1.000,1.000,1.000,1.000,0.975,0.975\n4,Cricket,1.000,1.000,1.000,1.000,0.986,0.986,0.986,0.986,0.986,1.000\n5,DuckDuckGeese,0.540,0.560,0.500,0.460,0.540,0.440,0.480,0.340,0.360,0.580\n6,ERing,0.993,0.989,0.985,0.981,0.993,0.981,0.970,0.963,0.889,0.915\n7,Eigen Worms,0.916,0.947,0.908,0.901,0.924,0.916,0.634,0.939,0.779,0.618\n8,Epilepsy,0.894,1.000,0.978,0.986,0.978,0.986,1.000,0.993,0.993,0.964\n9,EthanolConcentration,0.494,0.772,0.445,0.460,0.692,0.734,0.791,0.555,0.821,0.323\n10,FaceDetection,0.684,0.660,0.648,0.653,0.620,0.627,0.656,0.564,0.646,0.529\n11,FingerMovements,0.630,0.530,0.540,0.530,0.600,0.520,0.550,0.560,0.510,0.530\n12,HandMovementDirection,0.527,0.473,0.459,0.473,0.527,0.595,0.446,0.378,0.392,0.189\n13,Handwriting,0.229,0.548,0.567,0.541,0.346,0.356,0.482,0.561,0.288,0.607\n14,Heartbeat,0.785,0.732,0.741,0.741,0.790,0.780,0.722,0.746,0.722,0.717\n15,LSST,0.721,0.643,0.622,0.642,0.556,0.573,0.575,0.570,0.587,0.551\n16,Libras,0.967,0.933,0.900,0.906,0.894,0.911,0.900,0.850,0.861,0.872\n17,MotorImagery,0.630,0.540,0.510,0.530,0.440,0.500,0.610,0.590,0.500,0.500\n18,NATOPS,0.944,0.894,0.883,0.883,0.844,0.856,0.889,0.839,0.872,0.883\n19,PEMS-SF,0.931,1.000,0.821,0.827,1.000,1.000,0.983,1.000,0.971,0.711\n20,PenDigits,0.993,0.979,0.985,0.983,0.977,0.967,0.934,0.935,0.941,0.977\n21,PhonemeSpectra,0.349,0.290,0.259,0.277,0.308,0.265,0.321,0.246,0.295,0.151\n22,RacketSports,0.941,0.908,0.914,0.901,0.901,0.882,0.888,0.836,0.888,0.803\n23,SelfRegulationSCP1,0.887,0.891,0.843,0.846,0.877,0.860,0.853,0.812,0.840,0.775\n24,SelfRegulationSCP2,0.611,0.500,0.494,0.494,0.494,0.500,0.461,0.500,0.533,0.539\n25,StandWalkJump,0.733,0.467,0.600,0.533,0.533,0.400,0.333,0.333,0.467,0.200\n26,UWaveGestureLibrary,0.963,0.928,0.931,0.928,0.909,0.925,0.891,0.925,0.850,0.903\n27,Average,0.752,0.748,0.721,0.716,0.732,0.726,0.711,0.703,0.701,0.654\n` \\n\\nQuestion: `What is the average CIF value across all datasets?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
arxiv--4--6404
|
./tables/csvs/arxiv--4--6404.csv
|
./tables/images/arxiv--4--6404.jpg
|
,0,1,2,3,4,5,6,7,8,9,10
0,Dataset,NuTime,HC2,ROCKET,Arsenal,DrCIF,CIF,HC1,TDE,STC,DTW-C
1,Articulary WordRecognition,0.993,0.993,0.997,0.993,0.980,0.983,0.990,0.993,0.990,0.987
2,AtrialFibrillation,0.200,0.267,0.200,0.133,0.333,0.333,0.133,0.267,0.267,0.200
3,BasicMotions,1.000,1.000,1.000,1.000,1.000,1.000,1.000,1.000,0.975,0.975
4,Cricket,1.000,1.000,1.000,1.000,0.986,0.986,0.986,0.986,0.986,1.000
5,DuckDuckGeese,0.540,0.560,0.500,0.460,0.540,0.440,0.480,0.340,0.360,0.580
6,ERing,0.993,0.989,0.985,0.981,0.993,0.981,0.970,0.963,0.889,0.915
7,Eigen Worms,0.916,0.947,0.908,0.901,0.924,0.916,0.634,0.939,0.779,0.618
8,Epilepsy,0.894,1.000,0.978,0.986,0.978,0.986,1.000,0.993,0.993,0.964
9,EthanolConcentration,0.494,0.772,0.445,0.460,0.692,0.734,0.791,0.555,0.821,0.323
10,FaceDetection,0.684,0.660,0.648,0.653,0.620,0.627,0.656,0.564,0.646,0.529
11,FingerMovements,0.630,0.530,0.540,0.530,0.600,0.520,0.550,0.560,0.510,0.530
12,HandMovementDirection,0.527,0.473,0.459,0.473,0.527,0.595,0.446,0.378,0.392,0.189
13,Handwriting,0.229,0.548,0.567,0.541,0.346,0.356,0.482,0.561,0.288,0.607
14,Heartbeat,0.785,0.732,0.741,0.741,0.790,0.780,0.722,0.746,0.722,0.717
15,LSST,0.721,0.643,0.622,0.642,0.556,0.573,0.575,0.570,0.587,0.551
16,Libras,0.967,0.933,0.900,0.906,0.894,0.911,0.900,0.850,0.861,0.872
17,MotorImagery,0.630,0.540,0.510,0.530,0.440,0.500,0.610,0.590,0.500,0.500
18,NATOPS,0.944,0.894,0.883,0.883,0.844,0.856,0.889,0.839,0.872,0.883
19,PEMS-SF,0.931,1.000,0.821,0.827,1.000,1.000,0.983,1.000,0.971,0.711
20,PenDigits,0.993,0.979,0.985,0.983,0.977,0.967,0.934,0.935,0.941,0.977
21,PhonemeSpectra,0.349,0.290,0.259,0.277,0.308,0.265,0.321,0.246,0.295,0.151
22,RacketSports,0.941,0.908,0.914,0.901,0.901,0.882,0.888,0.836,0.888,0.803
23,SelfRegulationSCP1,0.887,0.891,0.843,0.846,0.877,0.860,0.853,0.812,0.840,0.775
24,SelfRegulationSCP2,0.611,0.500,0.494,0.494,0.494,0.500,0.461,0.500,0.533,0.539
25,StandWalkJump,0.733,0.467,0.600,0.533,0.533,0.400,0.333,0.333,0.467,0.200
26,UWaveGestureLibrary,0.963,0.928,0.931,0.928,0.909,0.925,0.891,0.925,0.850,0.903
27,Average,0.752,0.748,0.721,0.716,0.732,0.726,0.711,0.703,0.701,0.654
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
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arxiv--4--6404--M1
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What are the 3 lowest STC values across all models?
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "", "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "", "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": "1", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": "", "Rank": true, "Rank Rank On Plain": true, "Rank Rank On Expression": false, "Rank Report Top": "3"}
|
{0.267} || {0.288} || {0.295}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10\n0,Dataset,NuTime,HC2,ROCKET,Arsenal,DrCIF,CIF,HC1,TDE,STC,DTW-C\n1,Articulary WordRecognition,0.993,0.993,0.997,0.993,0.980,0.983,0.990,0.993,0.990,0.987\n2,AtrialFibrillation,0.200,0.267,0.200,0.133,0.333,0.333,0.133,0.267,0.267,0.200\n3,BasicMotions,1.000,1.000,1.000,1.000,1.000,1.000,1.000,1.000,0.975,0.975\n4,Cricket,1.000,1.000,1.000,1.000,0.986,0.986,0.986,0.986,0.986,1.000\n5,DuckDuckGeese,0.540,0.560,0.500,0.460,0.540,0.440,0.480,0.340,0.360,0.580\n6,ERing,0.993,0.989,0.985,0.981,0.993,0.981,0.970,0.963,0.889,0.915\n7,Eigen Worms,0.916,0.947,0.908,0.901,0.924,0.916,0.634,0.939,0.779,0.618\n8,Epilepsy,0.894,1.000,0.978,0.986,0.978,0.986,1.000,0.993,0.993,0.964\n9,EthanolConcentration,0.494,0.772,0.445,0.460,0.692,0.734,0.791,0.555,0.821,0.323\n10,FaceDetection,0.684,0.660,0.648,0.653,0.620,0.627,0.656,0.564,0.646,0.529\n11,FingerMovements,0.630,0.530,0.540,0.530,0.600,0.520,0.550,0.560,0.510,0.530\n12,HandMovementDirection,0.527,0.473,0.459,0.473,0.527,0.595,0.446,0.378,0.392,0.189\n13,Handwriting,0.229,0.548,0.567,0.541,0.346,0.356,0.482,0.561,0.288,0.607\n14,Heartbeat,0.785,0.732,0.741,0.741,0.790,0.780,0.722,0.746,0.722,0.717\n15,LSST,0.721,0.643,0.622,0.642,0.556,0.573,0.575,0.570,0.587,0.551\n16,Libras,0.967,0.933,0.900,0.906,0.894,0.911,0.900,0.850,0.861,0.872\n17,MotorImagery,0.630,0.540,0.510,0.530,0.440,0.500,0.610,0.590,0.500,0.500\n18,NATOPS,0.944,0.894,0.883,0.883,0.844,0.856,0.889,0.839,0.872,0.883\n19,PEMS-SF,0.931,1.000,0.821,0.827,1.000,1.000,0.983,1.000,0.971,0.711\n20,PenDigits,0.993,0.979,0.985,0.983,0.977,0.967,0.934,0.935,0.941,0.977\n21,PhonemeSpectra,0.349,0.290,0.259,0.277,0.308,0.265,0.321,0.246,0.295,0.151\n22,RacketSports,0.941,0.908,0.914,0.901,0.901,0.882,0.888,0.836,0.888,0.803\n23,SelfRegulationSCP1,0.887,0.891,0.843,0.846,0.877,0.860,0.853,0.812,0.840,0.775\n24,SelfRegulationSCP2,0.611,0.500,0.494,0.494,0.494,0.500,0.461,0.500,0.533,0.539\n25,StandWalkJump,0.733,0.467,0.600,0.533,0.533,0.400,0.333,0.333,0.467,0.200\n26,UWaveGestureLibrary,0.963,0.928,0.931,0.928,0.909,0.925,0.891,0.925,0.850,0.903\n27,Average,0.752,0.748,0.721,0.716,0.732,0.726,0.711,0.703,0.701,0.654\n` \\n\\nQuestion: `What are the 3 lowest STC values across all models?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10\n0,Dataset,NuTime,HC2,ROCKET,Arsenal,DrCIF,CIF,HC1,TDE,STC,DTW-C\n1,Articulary WordRecognition,0.993,0.993,0.997,0.993,0.980,0.983,0.990,0.993,0.990,0.987\n2,AtrialFibrillation,0.200,0.267,0.200,0.133,0.333,0.333,0.133,0.267,0.267,0.200\n3,BasicMotions,1.000,1.000,1.000,1.000,1.000,1.000,1.000,1.000,0.975,0.975\n4,Cricket,1.000,1.000,1.000,1.000,0.986,0.986,0.986,0.986,0.986,1.000\n5,DuckDuckGeese,0.540,0.560,0.500,0.460,0.540,0.440,0.480,0.340,0.360,0.580\n6,ERing,0.993,0.989,0.985,0.981,0.993,0.981,0.970,0.963,0.889,0.915\n7,Eigen Worms,0.916,0.947,0.908,0.901,0.924,0.916,0.634,0.939,0.779,0.618\n8,Epilepsy,0.894,1.000,0.978,0.986,0.978,0.986,1.000,0.993,0.993,0.964\n9,EthanolConcentration,0.494,0.772,0.445,0.460,0.692,0.734,0.791,0.555,0.821,0.323\n10,FaceDetection,0.684,0.660,0.648,0.653,0.620,0.627,0.656,0.564,0.646,0.529\n11,FingerMovements,0.630,0.530,0.540,0.530,0.600,0.520,0.550,0.560,0.510,0.530\n12,HandMovementDirection,0.527,0.473,0.459,0.473,0.527,0.595,0.446,0.378,0.392,0.189\n13,Handwriting,0.229,0.548,0.567,0.541,0.346,0.356,0.482,0.561,0.288,0.607\n14,Heartbeat,0.785,0.732,0.741,0.741,0.790,0.780,0.722,0.746,0.722,0.717\n15,LSST,0.721,0.643,0.622,0.642,0.556,0.573,0.575,0.570,0.587,0.551\n16,Libras,0.967,0.933,0.900,0.906,0.894,0.911,0.900,0.850,0.861,0.872\n17,MotorImagery,0.630,0.540,0.510,0.530,0.440,0.500,0.610,0.590,0.500,0.500\n18,NATOPS,0.944,0.894,0.883,0.883,0.844,0.856,0.889,0.839,0.872,0.883\n19,PEMS-SF,0.931,1.000,0.821,0.827,1.000,1.000,0.983,1.000,0.971,0.711\n20,PenDigits,0.993,0.979,0.985,0.983,0.977,0.967,0.934,0.935,0.941,0.977\n21,PhonemeSpectra,0.349,0.290,0.259,0.277,0.308,0.265,0.321,0.246,0.295,0.151\n22,RacketSports,0.941,0.908,0.914,0.901,0.901,0.882,0.888,0.836,0.888,0.803\n23,SelfRegulationSCP1,0.887,0.891,0.843,0.846,0.877,0.860,0.853,0.812,0.840,0.775\n24,SelfRegulationSCP2,0.611,0.500,0.494,0.494,0.494,0.500,0.461,0.500,0.533,0.539\n25,StandWalkJump,0.733,0.467,0.600,0.533,0.533,0.400,0.333,0.333,0.467,0.200\n26,UWaveGestureLibrary,0.963,0.928,0.931,0.928,0.909,0.925,0.891,0.925,0.850,0.903\n27,Average,0.752,0.748,0.721,0.716,0.732,0.726,0.711,0.703,0.701,0.654\n` \\n\\nQuestion: `What are the 3 lowest STC values across all models?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
arxiv--4--6404
|
./tables/csvs/arxiv--4--6404.csv
|
./tables/images/arxiv--4--6404.jpg
|
,0,1,2,3,4,5,6,7,8,9,10
0,Dataset,NuTime,HC2,ROCKET,Arsenal,DrCIF,CIF,HC1,TDE,STC,DTW-C
1,Articulary WordRecognition,0.993,0.993,0.997,0.993,0.980,0.983,0.990,0.993,0.990,0.987
2,AtrialFibrillation,0.200,0.267,0.200,0.133,0.333,0.333,0.133,0.267,0.267,0.200
3,BasicMotions,1.000,1.000,1.000,1.000,1.000,1.000,1.000,1.000,0.975,0.975
4,Cricket,1.000,1.000,1.000,1.000,0.986,0.986,0.986,0.986,0.986,1.000
5,DuckDuckGeese,0.540,0.560,0.500,0.460,0.540,0.440,0.480,0.340,0.360,0.580
6,ERing,0.993,0.989,0.985,0.981,0.993,0.981,0.970,0.963,0.889,0.915
7,Eigen Worms,0.916,0.947,0.908,0.901,0.924,0.916,0.634,0.939,0.779,0.618
8,Epilepsy,0.894,1.000,0.978,0.986,0.978,0.986,1.000,0.993,0.993,0.964
9,EthanolConcentration,0.494,0.772,0.445,0.460,0.692,0.734,0.791,0.555,0.821,0.323
10,FaceDetection,0.684,0.660,0.648,0.653,0.620,0.627,0.656,0.564,0.646,0.529
11,FingerMovements,0.630,0.530,0.540,0.530,0.600,0.520,0.550,0.560,0.510,0.530
12,HandMovementDirection,0.527,0.473,0.459,0.473,0.527,0.595,0.446,0.378,0.392,0.189
13,Handwriting,0.229,0.548,0.567,0.541,0.346,0.356,0.482,0.561,0.288,0.607
14,Heartbeat,0.785,0.732,0.741,0.741,0.790,0.780,0.722,0.746,0.722,0.717
15,LSST,0.721,0.643,0.622,0.642,0.556,0.573,0.575,0.570,0.587,0.551
16,Libras,0.967,0.933,0.900,0.906,0.894,0.911,0.900,0.850,0.861,0.872
17,MotorImagery,0.630,0.540,0.510,0.530,0.440,0.500,0.610,0.590,0.500,0.500
18,NATOPS,0.944,0.894,0.883,0.883,0.844,0.856,0.889,0.839,0.872,0.883
19,PEMS-SF,0.931,1.000,0.821,0.827,1.000,1.000,0.983,1.000,0.971,0.711
20,PenDigits,0.993,0.979,0.985,0.983,0.977,0.967,0.934,0.935,0.941,0.977
21,PhonemeSpectra,0.349,0.290,0.259,0.277,0.308,0.265,0.321,0.246,0.295,0.151
22,RacketSports,0.941,0.908,0.914,0.901,0.901,0.882,0.888,0.836,0.888,0.803
23,SelfRegulationSCP1,0.887,0.891,0.843,0.846,0.877,0.860,0.853,0.812,0.840,0.775
24,SelfRegulationSCP2,0.611,0.500,0.494,0.494,0.494,0.500,0.461,0.500,0.533,0.539
25,StandWalkJump,0.733,0.467,0.600,0.533,0.533,0.400,0.333,0.333,0.467,0.200
26,UWaveGestureLibrary,0.963,0.928,0.931,0.928,0.909,0.925,0.891,0.925,0.850,0.903
27,Average,0.752,0.748,0.721,0.716,0.732,0.726,0.711,0.703,0.701,0.654
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
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arxiv--4--6404--M2
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How many datasets are used in this study?
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "", "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "", "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": "1", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": true, "Aggregation Aggregation On Plain": true, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": true, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": true, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": true, "Aggregation Num Of Aggregations": "1", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
{26}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10\n0,Dataset,NuTime,HC2,ROCKET,Arsenal,DrCIF,CIF,HC1,TDE,STC,DTW-C\n1,Articulary WordRecognition,0.993,0.993,0.997,0.993,0.980,0.983,0.990,0.993,0.990,0.987\n2,AtrialFibrillation,0.200,0.267,0.200,0.133,0.333,0.333,0.133,0.267,0.267,0.200\n3,BasicMotions,1.000,1.000,1.000,1.000,1.000,1.000,1.000,1.000,0.975,0.975\n4,Cricket,1.000,1.000,1.000,1.000,0.986,0.986,0.986,0.986,0.986,1.000\n5,DuckDuckGeese,0.540,0.560,0.500,0.460,0.540,0.440,0.480,0.340,0.360,0.580\n6,ERing,0.993,0.989,0.985,0.981,0.993,0.981,0.970,0.963,0.889,0.915\n7,Eigen Worms,0.916,0.947,0.908,0.901,0.924,0.916,0.634,0.939,0.779,0.618\n8,Epilepsy,0.894,1.000,0.978,0.986,0.978,0.986,1.000,0.993,0.993,0.964\n9,EthanolConcentration,0.494,0.772,0.445,0.460,0.692,0.734,0.791,0.555,0.821,0.323\n10,FaceDetection,0.684,0.660,0.648,0.653,0.620,0.627,0.656,0.564,0.646,0.529\n11,FingerMovements,0.630,0.530,0.540,0.530,0.600,0.520,0.550,0.560,0.510,0.530\n12,HandMovementDirection,0.527,0.473,0.459,0.473,0.527,0.595,0.446,0.378,0.392,0.189\n13,Handwriting,0.229,0.548,0.567,0.541,0.346,0.356,0.482,0.561,0.288,0.607\n14,Heartbeat,0.785,0.732,0.741,0.741,0.790,0.780,0.722,0.746,0.722,0.717\n15,LSST,0.721,0.643,0.622,0.642,0.556,0.573,0.575,0.570,0.587,0.551\n16,Libras,0.967,0.933,0.900,0.906,0.894,0.911,0.900,0.850,0.861,0.872\n17,MotorImagery,0.630,0.540,0.510,0.530,0.440,0.500,0.610,0.590,0.500,0.500\n18,NATOPS,0.944,0.894,0.883,0.883,0.844,0.856,0.889,0.839,0.872,0.883\n19,PEMS-SF,0.931,1.000,0.821,0.827,1.000,1.000,0.983,1.000,0.971,0.711\n20,PenDigits,0.993,0.979,0.985,0.983,0.977,0.967,0.934,0.935,0.941,0.977\n21,PhonemeSpectra,0.349,0.290,0.259,0.277,0.308,0.265,0.321,0.246,0.295,0.151\n22,RacketSports,0.941,0.908,0.914,0.901,0.901,0.882,0.888,0.836,0.888,0.803\n23,SelfRegulationSCP1,0.887,0.891,0.843,0.846,0.877,0.860,0.853,0.812,0.840,0.775\n24,SelfRegulationSCP2,0.611,0.500,0.494,0.494,0.494,0.500,0.461,0.500,0.533,0.539\n25,StandWalkJump,0.733,0.467,0.600,0.533,0.533,0.400,0.333,0.333,0.467,0.200\n26,UWaveGestureLibrary,0.963,0.928,0.931,0.928,0.909,0.925,0.891,0.925,0.850,0.903\n27,Average,0.752,0.748,0.721,0.716,0.732,0.726,0.711,0.703,0.701,0.654\n` \\n\\nQuestion: `How many datasets are used in this study?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5,6,7,8,9,10\n0,Dataset,NuTime,HC2,ROCKET,Arsenal,DrCIF,CIF,HC1,TDE,STC,DTW-C\n1,Articulary WordRecognition,0.993,0.993,0.997,0.993,0.980,0.983,0.990,0.993,0.990,0.987\n2,AtrialFibrillation,0.200,0.267,0.200,0.133,0.333,0.333,0.133,0.267,0.267,0.200\n3,BasicMotions,1.000,1.000,1.000,1.000,1.000,1.000,1.000,1.000,0.975,0.975\n4,Cricket,1.000,1.000,1.000,1.000,0.986,0.986,0.986,0.986,0.986,1.000\n5,DuckDuckGeese,0.540,0.560,0.500,0.460,0.540,0.440,0.480,0.340,0.360,0.580\n6,ERing,0.993,0.989,0.985,0.981,0.993,0.981,0.970,0.963,0.889,0.915\n7,Eigen Worms,0.916,0.947,0.908,0.901,0.924,0.916,0.634,0.939,0.779,0.618\n8,Epilepsy,0.894,1.000,0.978,0.986,0.978,0.986,1.000,0.993,0.993,0.964\n9,EthanolConcentration,0.494,0.772,0.445,0.460,0.692,0.734,0.791,0.555,0.821,0.323\n10,FaceDetection,0.684,0.660,0.648,0.653,0.620,0.627,0.656,0.564,0.646,0.529\n11,FingerMovements,0.630,0.530,0.540,0.530,0.600,0.520,0.550,0.560,0.510,0.530\n12,HandMovementDirection,0.527,0.473,0.459,0.473,0.527,0.595,0.446,0.378,0.392,0.189\n13,Handwriting,0.229,0.548,0.567,0.541,0.346,0.356,0.482,0.561,0.288,0.607\n14,Heartbeat,0.785,0.732,0.741,0.741,0.790,0.780,0.722,0.746,0.722,0.717\n15,LSST,0.721,0.643,0.622,0.642,0.556,0.573,0.575,0.570,0.587,0.551\n16,Libras,0.967,0.933,0.900,0.906,0.894,0.911,0.900,0.850,0.861,0.872\n17,MotorImagery,0.630,0.540,0.510,0.530,0.440,0.500,0.610,0.590,0.500,0.500\n18,NATOPS,0.944,0.894,0.883,0.883,0.844,0.856,0.889,0.839,0.872,0.883\n19,PEMS-SF,0.931,1.000,0.821,0.827,1.000,1.000,0.983,1.000,0.971,0.711\n20,PenDigits,0.993,0.979,0.985,0.983,0.977,0.967,0.934,0.935,0.941,0.977\n21,PhonemeSpectra,0.349,0.290,0.259,0.277,0.308,0.265,0.321,0.246,0.295,0.151\n22,RacketSports,0.941,0.908,0.914,0.901,0.901,0.882,0.888,0.836,0.888,0.803\n23,SelfRegulationSCP1,0.887,0.891,0.843,0.846,0.877,0.860,0.853,0.812,0.840,0.775\n24,SelfRegulationSCP2,0.611,0.500,0.494,0.494,0.494,0.500,0.461,0.500,0.533,0.539\n25,StandWalkJump,0.733,0.467,0.600,0.533,0.533,0.400,0.333,0.333,0.467,0.200\n26,UWaveGestureLibrary,0.963,0.928,0.931,0.928,0.909,0.925,0.891,0.925,0.850,0.903\n27,Average,0.752,0.748,0.721,0.716,0.732,0.726,0.711,0.703,0.701,0.654\n` \\n\\nQuestion: `How many datasets are used in this study?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
|
arxiv--21--9668
|
./tables/csvs/arxiv--21--9668.csv
|
./tables/images/arxiv--21--9668.jpg
|
,0,1,2,3,4,5
0,,,Optimal Model,Force Load Acquire,Force Store Release,Always Acq/Rel
1,Apple M1,Q1,79 ms,178 ms,98 ms,188 ms
2,__,Q3,53 ms,61 ms,66 ms,68 ms
3,__,Q12,64 ms,69 ms,70 ms,69 ms
4,__,Q14,199 ms,231 ms,199 ms,233 ms
5,__,Q19,767 ms,1008 ms,789 ms,1015 ms
6,"Thunder X2
:selected: :selected:",Q1,53 ms,73 ms,66 ms,143 ms
7,__,Q3,58 ms,59 ms,61 ms,85 ms
8,__,Q12,13 ms,18 ms,17 ms,18 ms
9,__,Q14,73 ms,83 ms,89 ms,92 ms
10,__,Q19,134 ms,221 ms,228 ms,239 ms
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
arxiv--21--9668--M0
|
For Q1 query, what is the maximum value for "Optimal Model"
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": true, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "1", "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": true, "Row Filter Num Of Conditions": "1", "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": "1", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": true, "Aggregation Aggregation On Plain": true, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": true, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": true, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": true, "Aggregation Num Of Aggregations": "1", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
{79 ms}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5\n0,,,Optimal Model,Force Load Acquire,Force Store Release,Always Acq/Rel\n1,Apple M1,Q1,79 ms,178 ms,98 ms,188 ms\n2,__,Q3,53 ms,61 ms,66 ms,68 ms\n3,__,Q12,64 ms,69 ms,70 ms,69 ms\n4,__,Q14,199 ms,231 ms,199 ms,233 ms\n5,__,Q19,767 ms,1008 ms,789 ms,1015 ms\n6,\"Thunder X2\n:selected: :selected:\",Q1,53 ms,73 ms,66 ms,143 ms\n7,__,Q3,58 ms,59 ms,61 ms,85 ms\n8,__,Q12,13 ms,18 ms,17 ms,18 ms\n9,__,Q14,73 ms,83 ms,89 ms,92 ms\n10,__,Q19,134 ms,221 ms,228 ms,239 ms\n` \\n\\nQuestion: `For Q1 query, what is the maximum value for \"Optimal Model\"`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n ,0,1,2,3,4,5\n0,,,Optimal Model,Force Load Acquire,Force Store Release,Always Acq/Rel\n1,Apple M1,Q1,79 ms,178 ms,98 ms,188 ms\n2,__,Q3,53 ms,61 ms,66 ms,68 ms\n3,__,Q12,64 ms,69 ms,70 ms,69 ms\n4,__,Q14,199 ms,231 ms,199 ms,233 ms\n5,__,Q19,767 ms,1008 ms,789 ms,1015 ms\n6,\"Thunder X2\n:selected: :selected:\",Q1,53 ms,73 ms,66 ms,143 ms\n7,__,Q3,58 ms,59 ms,61 ms,85 ms\n8,__,Q12,13 ms,18 ms,17 ms,18 ms\n9,__,Q14,73 ms,83 ms,89 ms,92 ms\n10,__,Q19,134 ms,221 ms,228 ms,239 ms\n` \\n\\nQuestion: `For Q1 query, what is the maximum value for \"Optimal Model\"`\\n\\n # OUTPUT: \\nAnswer:"}]
|
realWorldHCTs
|
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