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stringlengths 3
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stringlengths 18
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>jamie callan 's publications by year</question>
[SQL]:
|
<SQL_QUERY>SELECT DISTINCT t3.paperid , t3.year FROM writes AS t2 JOIN author AS t1 ON t2.authorid = t1.authorid JOIN paper AS t3 ON t2.paperid = t3.paperid WHERE t1.authorname = "jamie callan" ORDER BY t3.year;</SQL_QUERY>
|
scholar
|
SELECT DISTINCT t3.paperid , t3.year FROM writes AS t2 JOIN author AS t1 ON t2.authorid = t1.authorid JOIN paper AS t3 ON t2.paperid = t3.paperid WHERE t1.authorname = "jamie callan" ORDER BY t3.year;
|
jamie callan 's publications by year
|
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
|
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
|
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
|
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>How many papers does jamie callan publish each year ?</question>
[SQL]:
|
<SQL_QUERY>SELECT DISTINCT COUNT ( t3.paperid ) , t3.year FROM writes AS t2 JOIN author AS t1 ON t2.authorid = t1.authorid JOIN paper AS t3 ON t2.paperid = t3.paperid WHERE t1.authorname = "jamie callan" GROUP BY t3.year;</SQL_QUERY>
|
scholar
|
SELECT DISTINCT COUNT ( t3.paperid ) , t3.year FROM writes AS t2 JOIN author AS t1 ON t2.authorid = t1.authorid JOIN paper AS t3 ON t2.paperid = t3.paperid WHERE t1.authorname = "jamie callan" GROUP BY t3.year;
|
How many papers does jamie callan publish each year ?
|
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
|
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
|
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
|
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>number of papers by year from jamie callan</question>
[SQL]:
|
<SQL_QUERY>SELECT DISTINCT COUNT ( t3.paperid ) , t3.year FROM writes AS t2 JOIN author AS t1 ON t2.authorid = t1.authorid JOIN paper AS t3 ON t2.paperid = t3.paperid WHERE t1.authorname = "jamie callan" GROUP BY t3.year;</SQL_QUERY>
|
scholar
|
SELECT DISTINCT COUNT ( t3.paperid ) , t3.year FROM writes AS t2 JOIN author AS t1 ON t2.authorid = t1.authorid JOIN paper AS t3 ON t2.paperid = t3.paperid WHERE t1.authorname = "jamie callan" GROUP BY t3.year;
|
number of papers by year from jamie callan
|
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
|
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
|
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
|
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>how many papers jamie callan published each year ?</question>
[SQL]:
|
<SQL_QUERY>SELECT DISTINCT COUNT ( t3.paperid ) , t3.year FROM writes AS t2 JOIN author AS t1 ON t2.authorid = t1.authorid JOIN paper AS t3 ON t2.paperid = t3.paperid WHERE t1.authorname = "jamie callan" GROUP BY t3.year;</SQL_QUERY>
|
scholar
|
SELECT DISTINCT COUNT ( t3.paperid ) , t3.year FROM writes AS t2 JOIN author AS t1 ON t2.authorid = t1.authorid JOIN paper AS t3 ON t2.paperid = t3.paperid WHERE t1.authorname = "jamie callan" GROUP BY t3.year;
|
how many papers jamie callan published each year ?
|
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
|
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
|
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
|
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>who does oren etzioni cite</question>
[SQL]:
|
<SQL_QUERY>SELECT DISTINCT t3.paperid FROM paper AS t3 JOIN cite AS t4 ON t3.paperid = t4.citingpaperid JOIN writes AS t2 ON t2.paperid = t4.citedpaperid JOIN author AS t1 ON t2.authorid = t1.authorid WHERE t1.authorname = "oren etzioni";</SQL_QUERY>
|
scholar
|
SELECT DISTINCT t3.paperid FROM paper AS t3 JOIN cite AS t4 ON t3.paperid = t4.citingpaperid JOIN writes AS t2 ON t2.paperid = t4.citedpaperid JOIN author AS t1 ON t2.authorid = t1.authorid WHERE t1.authorname = "oren etzioni";
|
who does oren etzioni cite
|
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
|
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
|
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
|
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>what papers does oren etzioni cite</question>
[SQL]:
|
<SQL_QUERY>SELECT DISTINCT t3.paperid FROM paper AS t3 JOIN cite AS t4 ON t3.paperid = t4.citingpaperid JOIN writes AS t2 ON t2.paperid = t4.citedpaperid JOIN author AS t1 ON t2.authorid = t1.authorid WHERE t1.authorname = "oren etzioni";</SQL_QUERY>
|
scholar
|
SELECT DISTINCT t3.paperid FROM paper AS t3 JOIN cite AS t4 ON t3.paperid = t4.citingpaperid JOIN writes AS t2 ON t2.paperid = t4.citedpaperid JOIN author AS t1 ON t2.authorid = t1.authorid WHERE t1.authorname = "oren etzioni";
|
what papers does oren etzioni cite
|
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
|
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
|
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
|
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>papers citing Daniel Jurafsky</question>
[SQL]:
|
<SQL_QUERY>SELECT DISTINCT t3.paperid FROM paper AS t3 JOIN cite AS t4 ON t3.paperid = t4.citingpaperid JOIN writes AS t2 ON t2.paperid = t4.citedpaperid JOIN author AS t1 ON t2.authorid = t1.authorid WHERE t1.authorname = "Daniel Jurafsky";</SQL_QUERY>
|
scholar
|
SELECT DISTINCT t3.paperid FROM paper AS t3 JOIN cite AS t4 ON t3.paperid = t4.citingpaperid JOIN writes AS t2 ON t2.paperid = t4.citedpaperid JOIN author AS t1 ON t2.authorid = t1.authorid WHERE t1.authorname = "Daniel Jurafsky";
|
papers citing Daniel Jurafsky
|
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
|
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
|
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
|
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>What papers cite Daniel Jurafsky ?</question>
[SQL]:
|
<SQL_QUERY>SELECT DISTINCT t3.paperid FROM paper AS t3 JOIN cite AS t4 ON t3.paperid = t4.citingpaperid JOIN writes AS t2 ON t2.paperid = t4.citedpaperid JOIN author AS t1 ON t2.authorid = t1.authorid WHERE t1.authorname = "Daniel Jurafsky";</SQL_QUERY>
|
scholar
|
SELECT DISTINCT t3.paperid FROM paper AS t3 JOIN cite AS t4 ON t3.paperid = t4.citingpaperid JOIN writes AS t2 ON t2.paperid = t4.citedpaperid JOIN author AS t1 ON t2.authorid = t1.authorid WHERE t1.authorname = "Daniel Jurafsky";
|
What papers cite Daniel Jurafsky ?
|
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
|
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>Which papers cite Daniel Jurafsky ?</question>
[SQL]:
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<SQL_QUERY>SELECT DISTINCT t3.paperid FROM paper AS t3 JOIN cite AS t4 ON t3.paperid = t4.citingpaperid JOIN writes AS t2 ON t2.paperid = t4.citedpaperid JOIN author AS t1 ON t2.authorid = t1.authorid WHERE t1.authorname = "Daniel Jurafsky";</SQL_QUERY>
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scholar
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SELECT DISTINCT t3.paperid FROM paper AS t3 JOIN cite AS t4 ON t3.paperid = t4.citingpaperid JOIN writes AS t2 ON t2.paperid = t4.citedpaperid JOIN author AS t1 ON t2.authorid = t1.authorid WHERE t1.authorname = "Daniel Jurafsky";
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Which papers cite Daniel Jurafsky ?
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[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>citations for Daniel Jurafsky</question>
[SQL]:
|
<SQL_QUERY>SELECT DISTINCT t3.paperid FROM paper AS t3 JOIN cite AS t4 ON t3.paperid = t4.citingpaperid JOIN writes AS t2 ON t2.paperid = t4.citedpaperid JOIN author AS t1 ON t2.authorid = t1.authorid WHERE t1.authorname = "Daniel Jurafsky";</SQL_QUERY>
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scholar
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SELECT DISTINCT t3.paperid FROM paper AS t3 JOIN cite AS t4 ON t3.paperid = t4.citingpaperid JOIN writes AS t2 ON t2.paperid = t4.citedpaperid JOIN author AS t1 ON t2.authorid = t1.authorid WHERE t1.authorname = "Daniel Jurafsky";
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citations for Daniel Jurafsky
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[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>journal papers for instance segmentation</question>
[SQL]:
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<SQL_QUERY>SELECT DISTINCT t3.paperid FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.keyphrasename = "instance segmentation" AND t3.journalid >= 0;</SQL_QUERY>
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scholar
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SELECT DISTINCT t3.paperid FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.keyphrasename = "instance segmentation" AND t3.journalid >= 0;
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journal papers for instance segmentation
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[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>who has the most papers in semantic parsing after 2005 ?</question>
[SQL]:
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<SQL_QUERY>SELECT DISTINCT COUNT ( t4.paperid ) , t3.authorid FROM paperkeyphrase AS t1 JOIN keyphrase AS t2 ON t1.keyphraseid = t2.keyphraseid JOIN paper AS t4 ON t4.paperid = t1.paperid JOIN writes AS t3 ON t3.paperid = t4.paperid WHERE t2.keyphrasename = "semantic parsing" AND t4.year > 2005 GROUP BY t3.authorid ORDER BY COUNT ( t4.paperid ) DESC;</SQL_QUERY>
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scholar
|
SELECT DISTINCT COUNT ( t4.paperid ) , t3.authorid FROM paperkeyphrase AS t1 JOIN keyphrase AS t2 ON t1.keyphraseid = t2.keyphraseid JOIN paper AS t4 ON t4.paperid = t1.paperid JOIN writes AS t3 ON t3.paperid = t4.paperid WHERE t2.keyphrasename = "semantic parsing" AND t4.year > 2005 GROUP BY t3.authorid ORDER BY COUNT ( t4.paperid ) DESC;
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who has the most papers in semantic parsing after 2005 ?
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[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>who has written the most papers on semantic parsing since 2005 ?</question>
[SQL]:
|
<SQL_QUERY>SELECT DISTINCT COUNT ( t4.paperid ) , t3.authorid FROM paperkeyphrase AS t1 JOIN keyphrase AS t2 ON t1.keyphraseid = t2.keyphraseid JOIN paper AS t4 ON t4.paperid = t1.paperid JOIN writes AS t3 ON t3.paperid = t4.paperid WHERE t2.keyphrasename = "semantic parsing" AND t4.year > 2005 GROUP BY t3.authorid ORDER BY COUNT ( t4.paperid ) DESC;</SQL_QUERY>
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scholar
|
SELECT DISTINCT COUNT ( t4.paperid ) , t3.authorid FROM paperkeyphrase AS t1 JOIN keyphrase AS t2 ON t1.keyphraseid = t2.keyphraseid JOIN paper AS t4 ON t4.paperid = t1.paperid JOIN writes AS t3 ON t3.paperid = t4.paperid WHERE t2.keyphrasename = "semantic parsing" AND t4.year > 2005 GROUP BY t3.authorid ORDER BY COUNT ( t4.paperid ) DESC;
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who has written the most papers on semantic parsing since 2005 ?
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[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>who published the most in semantic parsing after 2005 ?</question>
[SQL]:
|
<SQL_QUERY>SELECT DISTINCT COUNT ( t4.paperid ) , t3.authorid FROM paperkeyphrase AS t1 JOIN keyphrase AS t2 ON t1.keyphraseid = t2.keyphraseid JOIN paper AS t4 ON t4.paperid = t1.paperid JOIN writes AS t3 ON t3.paperid = t4.paperid WHERE t2.keyphrasename = "semantic parsing" AND t4.year > 2005 GROUP BY t3.authorid ORDER BY COUNT ( t4.paperid ) DESC;</SQL_QUERY>
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scholar
|
SELECT DISTINCT COUNT ( t4.paperid ) , t3.authorid FROM paperkeyphrase AS t1 JOIN keyphrase AS t2 ON t1.keyphraseid = t2.keyphraseid JOIN paper AS t4 ON t4.paperid = t1.paperid JOIN writes AS t3 ON t3.paperid = t4.paperid WHERE t2.keyphrasename = "semantic parsing" AND t4.year > 2005 GROUP BY t3.authorid ORDER BY COUNT ( t4.paperid ) DESC;
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who published the most in semantic parsing after 2005 ?
|
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>How many citations does Dan Makumbi 's Genetic Identity paper have ?</question>
[SQL]:
|
<SQL_QUERY>SELECT DISTINCT COUNT ( t5.citingpaperid ) FROM paperkeyphrase AS t2 JOIN keyphrase AS t3 ON t2.keyphraseid = t3.keyphraseid JOIN writes AS t4 ON t4.paperid = t2.paperid JOIN cite AS t5 ON t4.paperid = t5.citedpaperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t1.authorname = "Dan Makumbi" AND t3.keyphrasename = "Genetic Identity";</SQL_QUERY>
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scholar
|
SELECT DISTINCT COUNT ( t5.citingpaperid ) FROM paperkeyphrase AS t2 JOIN keyphrase AS t3 ON t2.keyphraseid = t3.keyphraseid JOIN writes AS t4 ON t4.paperid = t2.paperid JOIN cite AS t5 ON t4.paperid = t5.citedpaperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t1.authorname = "Dan Makumbi" AND t3.keyphrasename = "Genetic Identity";
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How many citations does Dan Makumbi 's Genetic Identity paper have ?
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[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>character recognition papers earlier than 2010</question>
[SQL]:
|
<SQL_QUERY>SELECT DISTINCT t3.paperid FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.keyphrasename = "character recognition" AND t3.year < 2010;</SQL_QUERY>
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scholar
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SELECT DISTINCT t3.paperid FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.keyphrasename = "character recognition" AND t3.year < 2010;
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character recognition papers earlier than 2010
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[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>papers before 2010 about character recognition</question>
[SQL]:
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<SQL_QUERY>SELECT DISTINCT t3.paperid FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.keyphrasename = "character recognition" AND t3.year < 2010;</SQL_QUERY>
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scholar
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SELECT DISTINCT t3.paperid FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.keyphrasename = "character recognition" AND t3.year < 2010;
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papers before 2010 about character recognition
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[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>character recognition papers from before 2010</question>
[SQL]:
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<SQL_QUERY>SELECT DISTINCT t3.paperid FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.keyphrasename = "character recognition" AND t3.year < 2010;</SQL_QUERY>
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scholar
|
SELECT DISTINCT t3.paperid FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.keyphrasename = "character recognition" AND t3.year < 2010;
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character recognition papers from before 2010
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[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>papers about character recognition from before 2010</question>
[SQL]:
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<SQL_QUERY>SELECT DISTINCT t3.paperid FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.keyphrasename = "character recognition" AND t3.year < 2010;</SQL_QUERY>
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scholar
|
SELECT DISTINCT t3.paperid FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.keyphrasename = "character recognition" AND t3.year < 2010;
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papers about character recognition from before 2010
|
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>character recognition papers before 2010</question>
[SQL]:
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<SQL_QUERY>SELECT DISTINCT t3.paperid FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.keyphrasename = "character recognition" AND t3.year < 2010;</SQL_QUERY>
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scholar
|
SELECT DISTINCT t3.paperid FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.keyphrasename = "character recognition" AND t3.year < 2010;
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character recognition papers before 2010
|
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>what topics does oren etzioni write about most ?</question>
[SQL]:
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<SQL_QUERY>SELECT DISTINCT COUNT ( t2.keyphraseid ) , t2.keyphraseid FROM paper AS t3 JOIN paperkeyphrase AS t2 ON t3.paperid = t2.paperid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t1.authorname = "oren etzioni" GROUP BY t2.keyphraseid ORDER BY COUNT ( t2.keyphraseid ) DESC;</SQL_QUERY>
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scholar
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SELECT DISTINCT COUNT ( t2.keyphraseid ) , t2.keyphraseid FROM paper AS t3 JOIN paperkeyphrase AS t2 ON t3.paperid = t2.paperid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t1.authorname = "oren etzioni" GROUP BY t2.keyphraseid ORDER BY COUNT ( t2.keyphraseid ) DESC;
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what topics does oren etzioni write about most ?
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[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>How many papers related to deep learning cited the dataset ImageNet ?</question>
[SQL]:
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<SQL_QUERY>SELECT DISTINCT COUNT ( t4.paperid ) FROM paperdataset AS t3 JOIN dataset AS t2 ON t3.datasetid = t2.datasetid JOIN paper AS t4 ON t4.paperid = t3.paperid JOIN paperkeyphrase AS t1 ON t4.paperid = t1.paperid JOIN keyphrase AS t5 ON t1.keyphraseid = t5.keyphraseid WHERE t2.datasetname = "ImageNet" AND t5.keyphrasename = "deep learning";</SQL_QUERY>
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scholar
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SELECT DISTINCT COUNT ( t4.paperid ) FROM paperdataset AS t3 JOIN dataset AS t2 ON t3.datasetid = t2.datasetid JOIN paper AS t4 ON t4.paperid = t3.paperid JOIN paperkeyphrase AS t1 ON t4.paperid = t1.paperid JOIN keyphrase AS t5 ON t1.keyphraseid = t5.keyphraseid WHERE t2.datasetname = "ImageNet" AND t5.keyphrasename = "deep learning";
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How many papers related to deep learning cited the dataset ImageNet ?
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[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>most cited papers on parsing</question>
[SQL]:
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<SQL_QUERY>SELECT DISTINCT t4.citedpaperid , COUNT ( t4.citedpaperid ) FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid JOIN cite AS t4 ON t3.paperid = t4.citedpaperid WHERE t1.keyphrasename = "parsing" GROUP BY t4.citedpaperid ORDER BY COUNT ( t4.citedpaperid ) DESC;</SQL_QUERY>
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scholar
|
SELECT DISTINCT t4.citedpaperid , COUNT ( t4.citedpaperid ) FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid JOIN cite AS t4 ON t3.paperid = t4.citedpaperid WHERE t1.keyphrasename = "parsing" GROUP BY t4.citedpaperid ORDER BY COUNT ( t4.citedpaperid ) DESC;
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most cited papers on parsing
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[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>parsing top papers</question>
[SQL]:
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<SQL_QUERY>SELECT DISTINCT t4.citedpaperid , COUNT ( t4.citedpaperid ) FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid JOIN cite AS t4 ON t3.paperid = t4.citedpaperid WHERE t1.keyphrasename = "parsing" GROUP BY t4.citedpaperid ORDER BY COUNT ( t4.citedpaperid ) DESC;</SQL_QUERY>
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scholar
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SELECT DISTINCT t4.citedpaperid , COUNT ( t4.citedpaperid ) FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid JOIN cite AS t4 ON t3.paperid = t4.citedpaperid WHERE t1.keyphrasename = "parsing" GROUP BY t4.citedpaperid ORDER BY COUNT ( t4.citedpaperid ) DESC;
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parsing top papers
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[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>List top papers for parsing</question>
[SQL]:
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<SQL_QUERY>SELECT DISTINCT t4.citedpaperid , COUNT ( t4.citedpaperid ) FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid JOIN cite AS t4 ON t3.paperid = t4.citedpaperid WHERE t1.keyphrasename = "parsing" GROUP BY t4.citedpaperid ORDER BY COUNT ( t4.citedpaperid ) DESC;</SQL_QUERY>
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scholar
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SELECT DISTINCT t4.citedpaperid , COUNT ( t4.citedpaperid ) FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid JOIN cite AS t4 ON t3.paperid = t4.citedpaperid WHERE t1.keyphrasename = "parsing" GROUP BY t4.citedpaperid ORDER BY COUNT ( t4.citedpaperid ) DESC;
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List top papers for parsing
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[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>parsing papers that have the most citations</question>
[SQL]:
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<SQL_QUERY>SELECT DISTINCT t4.citedpaperid , COUNT ( t4.citedpaperid ) FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid JOIN cite AS t4 ON t3.paperid = t4.citedpaperid WHERE t1.keyphrasename = "parsing" GROUP BY t4.citedpaperid ORDER BY COUNT ( t4.citedpaperid ) DESC;</SQL_QUERY>
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scholar
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SELECT DISTINCT t4.citedpaperid , COUNT ( t4.citedpaperid ) FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid JOIN cite AS t4 ON t3.paperid = t4.citedpaperid WHERE t1.keyphrasename = "parsing" GROUP BY t4.citedpaperid ORDER BY COUNT ( t4.citedpaperid ) DESC;
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parsing papers that have the most citations
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[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>What is the paper about parsing of the most citation ?</question>
[SQL]:
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<SQL_QUERY>SELECT DISTINCT t4.citedpaperid , COUNT ( t4.citedpaperid ) FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid JOIN cite AS t4 ON t3.paperid = t4.citedpaperid WHERE t1.keyphrasename = "parsing" GROUP BY t4.citedpaperid ORDER BY COUNT ( t4.citedpaperid ) DESC;</SQL_QUERY>
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scholar
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SELECT DISTINCT t4.citedpaperid , COUNT ( t4.citedpaperid ) FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid JOIN cite AS t4 ON t3.paperid = t4.citedpaperid WHERE t1.keyphrasename = "parsing" GROUP BY t4.citedpaperid ORDER BY COUNT ( t4.citedpaperid ) DESC;
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What is the paper about parsing of the most citation ?
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[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>Paper on parsing with most citations</question>
[SQL]:
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<SQL_QUERY>SELECT DISTINCT t4.citedpaperid , COUNT ( t4.citedpaperid ) FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid JOIN cite AS t4 ON t3.paperid = t4.citedpaperid WHERE t1.keyphrasename = "parsing" GROUP BY t4.citedpaperid ORDER BY COUNT ( t4.citedpaperid ) DESC;</SQL_QUERY>
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scholar
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SELECT DISTINCT t4.citedpaperid , COUNT ( t4.citedpaperid ) FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid JOIN cite AS t4 ON t3.paperid = t4.citedpaperid WHERE t1.keyphrasename = "parsing" GROUP BY t4.citedpaperid ORDER BY COUNT ( t4.citedpaperid ) DESC;
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Paper on parsing with most citations
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[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>parsing papers with most citations</question>
[SQL]:
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<SQL_QUERY>SELECT DISTINCT t4.citedpaperid , COUNT ( t4.citedpaperid ) FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid JOIN cite AS t4 ON t3.paperid = t4.citedpaperid WHERE t1.keyphrasename = "parsing" GROUP BY t4.citedpaperid ORDER BY COUNT ( t4.citedpaperid ) DESC;</SQL_QUERY>
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scholar
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SELECT DISTINCT t4.citedpaperid , COUNT ( t4.citedpaperid ) FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid JOIN cite AS t4 ON t3.paperid = t4.citedpaperid WHERE t1.keyphrasename = "parsing" GROUP BY t4.citedpaperid ORDER BY COUNT ( t4.citedpaperid ) DESC;
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parsing papers with most citations
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[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>most cited parsing papers</question>
[SQL]:
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<SQL_QUERY>SELECT DISTINCT t4.citedpaperid , COUNT ( t4.citedpaperid ) FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid JOIN cite AS t4 ON t3.paperid = t4.citedpaperid WHERE t1.keyphrasename = "parsing" GROUP BY t4.citedpaperid ORDER BY COUNT ( t4.citedpaperid ) DESC;</SQL_QUERY>
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scholar
|
SELECT DISTINCT t4.citedpaperid , COUNT ( t4.citedpaperid ) FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid JOIN cite AS t4 ON t3.paperid = t4.citedpaperid WHERE t1.keyphrasename = "parsing" GROUP BY t4.citedpaperid ORDER BY COUNT ( t4.citedpaperid ) DESC;
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most cited parsing papers
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[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>what are the parsing papers that have the most citations ?</question>
[SQL]:
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<SQL_QUERY>SELECT DISTINCT t4.citedpaperid , COUNT ( t4.citedpaperid ) FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid JOIN cite AS t4 ON t3.paperid = t4.citedpaperid WHERE t1.keyphrasename = "parsing" GROUP BY t4.citedpaperid ORDER BY COUNT ( t4.citedpaperid ) DESC;</SQL_QUERY>
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scholar
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SELECT DISTINCT t4.citedpaperid , COUNT ( t4.citedpaperid ) FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid JOIN cite AS t4 ON t3.paperid = t4.citedpaperid WHERE t1.keyphrasename = "parsing" GROUP BY t4.citedpaperid ORDER BY COUNT ( t4.citedpaperid ) DESC;
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what are the parsing papers that have the most citations ?
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[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>highly cited parsing papers</question>
[SQL]:
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<SQL_QUERY>SELECT DISTINCT t4.citedpaperid , COUNT ( t4.citedpaperid ) FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid JOIN cite AS t4 ON t3.paperid = t4.citedpaperid WHERE t1.keyphrasename = "parsing" GROUP BY t4.citedpaperid ORDER BY COUNT ( t4.citedpaperid ) DESC;</SQL_QUERY>
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scholar
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SELECT DISTINCT t4.citedpaperid , COUNT ( t4.citedpaperid ) FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid JOIN cite AS t4 ON t3.paperid = t4.citedpaperid WHERE t1.keyphrasename = "parsing" GROUP BY t4.citedpaperid ORDER BY COUNT ( t4.citedpaperid ) DESC;
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highly cited parsing papers
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[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>most cited papers for parsing</question>
[SQL]:
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<SQL_QUERY>SELECT DISTINCT t4.citedpaperid , COUNT ( t4.citedpaperid ) FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid JOIN cite AS t4 ON t3.paperid = t4.citedpaperid WHERE t1.keyphrasename = "parsing" GROUP BY t4.citedpaperid ORDER BY COUNT ( t4.citedpaperid ) DESC;</SQL_QUERY>
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scholar
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SELECT DISTINCT t4.citedpaperid , COUNT ( t4.citedpaperid ) FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid JOIN cite AS t4 ON t3.paperid = t4.citedpaperid WHERE t1.keyphrasename = "parsing" GROUP BY t4.citedpaperid ORDER BY COUNT ( t4.citedpaperid ) DESC;
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most cited papers for parsing
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[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>Most cited papers on parsing</question>
[SQL]:
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<SQL_QUERY>SELECT DISTINCT t4.citedpaperid , COUNT ( t4.citedpaperid ) FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid JOIN cite AS t4 ON t3.paperid = t4.citedpaperid WHERE t1.keyphrasename = "parsing" GROUP BY t4.citedpaperid ORDER BY COUNT ( t4.citedpaperid ) DESC;</SQL_QUERY>
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scholar
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SELECT DISTINCT t4.citedpaperid , COUNT ( t4.citedpaperid ) FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid JOIN cite AS t4 ON t3.paperid = t4.citedpaperid WHERE t1.keyphrasename = "parsing" GROUP BY t4.citedpaperid ORDER BY COUNT ( t4.citedpaperid ) DESC;
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Most cited papers on parsing
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[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>What paper did Michael Armstrong wrote in the 90s ?</question>
[SQL]:
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<SQL_QUERY>SELECT DISTINCT t3.year , t2.paperid FROM writes AS t2 JOIN author AS t1 ON t2.authorid = t1.authorid JOIN paper AS t3 ON t2.paperid = t3.paperid WHERE t1.authorname LIKE "Michael Armstrong" AND t3.year LIKE "199";</SQL_QUERY>
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scholar
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SELECT DISTINCT t3.year , t2.paperid FROM writes AS t2 JOIN author AS t1 ON t2.authorid = t1.authorid JOIN paper AS t3 ON t2.paperid = t3.paperid WHERE t1.authorname LIKE "Michael Armstrong" AND t3.year LIKE "199";
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What paper did Michael Armstrong wrote in the 90s ?
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[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>What is the most cited paper by ohad shamir ?</question>
[SQL]:
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<SQL_QUERY>SELECT DISTINCT t4.citedpaperid , COUNT ( t4.citedpaperid ) FROM paper AS t3 JOIN cite AS t4 ON t3.paperid = t4.citedpaperid JOIN writes AS t2 ON t2.paperid = t3.paperid JOIN author AS t1 ON t2.authorid = t1.authorid WHERE t1.authorname = "ohad shamir" GROUP BY t4.citedpaperid ORDER BY COUNT ( t4.citedpaperid ) DESC;</SQL_QUERY>
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scholar
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SELECT DISTINCT t4.citedpaperid , COUNT ( t4.citedpaperid ) FROM paper AS t3 JOIN cite AS t4 ON t3.paperid = t4.citedpaperid JOIN writes AS t2 ON t2.paperid = t3.paperid JOIN author AS t1 ON t2.authorid = t1.authorid WHERE t1.authorname = "ohad shamir" GROUP BY t4.citedpaperid ORDER BY COUNT ( t4.citedpaperid ) DESC;
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What is the most cited paper by ohad shamir ?
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[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>What is the highest cited paper by ohad shamir ?</question>
[SQL]:
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<SQL_QUERY>SELECT DISTINCT t4.citedpaperid , COUNT ( t4.citedpaperid ) FROM paper AS t3 JOIN cite AS t4 ON t3.paperid = t4.citedpaperid JOIN writes AS t2 ON t2.paperid = t3.paperid JOIN author AS t1 ON t2.authorid = t1.authorid WHERE t1.authorname = "ohad shamir" GROUP BY t4.citedpaperid ORDER BY COUNT ( t4.citedpaperid ) DESC;</SQL_QUERY>
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scholar
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SELECT DISTINCT t4.citedpaperid , COUNT ( t4.citedpaperid ) FROM paper AS t3 JOIN cite AS t4 ON t3.paperid = t4.citedpaperid JOIN writes AS t2 ON t2.paperid = t3.paperid JOIN author AS t1 ON t2.authorid = t1.authorid WHERE t1.authorname = "ohad shamir" GROUP BY t4.citedpaperid ORDER BY COUNT ( t4.citedpaperid ) DESC;
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What is the highest cited paper by ohad shamir ?
|
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>What is the most cited paper of ohad shamir ?</question>
[SQL]:
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<SQL_QUERY>SELECT DISTINCT t4.citedpaperid , COUNT ( t4.citedpaperid ) FROM paper AS t3 JOIN cite AS t4 ON t3.paperid = t4.citedpaperid JOIN writes AS t2 ON t2.paperid = t3.paperid JOIN author AS t1 ON t2.authorid = t1.authorid WHERE t1.authorname = "ohad shamir" GROUP BY t4.citedpaperid ORDER BY COUNT ( t4.citedpaperid ) DESC;</SQL_QUERY>
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scholar
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SELECT DISTINCT t4.citedpaperid , COUNT ( t4.citedpaperid ) FROM paper AS t3 JOIN cite AS t4 ON t3.paperid = t4.citedpaperid JOIN writes AS t2 ON t2.paperid = t3.paperid JOIN author AS t1 ON t2.authorid = t1.authorid WHERE t1.authorname = "ohad shamir" GROUP BY t4.citedpaperid ORDER BY COUNT ( t4.citedpaperid ) DESC;
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What is the most cited paper of ohad shamir ?
|
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>What is ohad shamir 's highest cited paper ?</question>
[SQL]:
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<SQL_QUERY>SELECT DISTINCT t4.citedpaperid , COUNT ( t4.citedpaperid ) FROM paper AS t3 JOIN cite AS t4 ON t3.paperid = t4.citedpaperid JOIN writes AS t2 ON t2.paperid = t3.paperid JOIN author AS t1 ON t2.authorid = t1.authorid WHERE t1.authorname = "ohad shamir" GROUP BY t4.citedpaperid ORDER BY COUNT ( t4.citedpaperid ) DESC;</SQL_QUERY>
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scholar
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SELECT DISTINCT t4.citedpaperid , COUNT ( t4.citedpaperid ) FROM paper AS t3 JOIN cite AS t4 ON t3.paperid = t4.citedpaperid JOIN writes AS t2 ON t2.paperid = t3.paperid JOIN author AS t1 ON t2.authorid = t1.authorid WHERE t1.authorname = "ohad shamir" GROUP BY t4.citedpaperid ORDER BY COUNT ( t4.citedpaperid ) DESC;
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What is ohad shamir 's highest cited paper ?
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[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>What paper by ohad shamir has the most citation ?</question>
[SQL]:
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<SQL_QUERY>SELECT DISTINCT t4.citedpaperid , COUNT ( t4.citedpaperid ) FROM paper AS t3 JOIN cite AS t4 ON t3.paperid = t4.citedpaperid JOIN writes AS t2 ON t2.paperid = t3.paperid JOIN author AS t1 ON t2.authorid = t1.authorid WHERE t1.authorname = "ohad shamir" GROUP BY t4.citedpaperid ORDER BY COUNT ( t4.citedpaperid ) DESC;</SQL_QUERY>
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scholar
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SELECT DISTINCT t4.citedpaperid , COUNT ( t4.citedpaperid ) FROM paper AS t3 JOIN cite AS t4 ON t3.paperid = t4.citedpaperid JOIN writes AS t2 ON t2.paperid = t3.paperid JOIN author AS t1 ON t2.authorid = t1.authorid WHERE t1.authorname = "ohad shamir" GROUP BY t4.citedpaperid ORDER BY COUNT ( t4.citedpaperid ) DESC;
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What paper by ohad shamir has the most citation ?
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[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the most cited paper of ohad shamir ?</question>
[SQL]:
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<SQL_QUERY>SELECT DISTINCT t4.citedpaperid , COUNT ( t4.citedpaperid ) FROM paper AS t3 JOIN cite AS t4 ON t3.paperid = t4.citedpaperid JOIN writes AS t2 ON t2.paperid = t3.paperid JOIN author AS t1 ON t2.authorid = t1.authorid WHERE t1.authorname = "ohad shamir" GROUP BY t4.citedpaperid ORDER BY COUNT ( t4.citedpaperid ) DESC;</SQL_QUERY>
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scholar
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SELECT DISTINCT t4.citedpaperid , COUNT ( t4.citedpaperid ) FROM paper AS t3 JOIN cite AS t4 ON t3.paperid = t4.citedpaperid JOIN writes AS t2 ON t2.paperid = t3.paperid JOIN author AS t1 ON t2.authorid = t1.authorid WHERE t1.authorname = "ohad shamir" GROUP BY t4.citedpaperid ORDER BY COUNT ( t4.citedpaperid ) DESC;
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what is the most cited paper of ohad shamir ?
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[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is ohad shamir 's most cited paper ?</question>
[SQL]:
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<SQL_QUERY>SELECT DISTINCT t4.citedpaperid , COUNT ( t4.citedpaperid ) FROM paper AS t3 JOIN cite AS t4 ON t3.paperid = t4.citedpaperid JOIN writes AS t2 ON t2.paperid = t3.paperid JOIN author AS t1 ON t2.authorid = t1.authorid WHERE t1.authorname = "ohad shamir" GROUP BY t4.citedpaperid ORDER BY COUNT ( t4.citedpaperid ) DESC;</SQL_QUERY>
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scholar
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SELECT DISTINCT t4.citedpaperid , COUNT ( t4.citedpaperid ) FROM paper AS t3 JOIN cite AS t4 ON t3.paperid = t4.citedpaperid JOIN writes AS t2 ON t2.paperid = t3.paperid JOIN author AS t1 ON t2.authorid = t1.authorid WHERE t1.authorname = "ohad shamir" GROUP BY t4.citedpaperid ORDER BY COUNT ( t4.citedpaperid ) DESC;
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what is ohad shamir 's most cited paper ?
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[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>How many papers did michael i. jordan publish in 2016 ?</question>
[SQL]:
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<SQL_QUERY>SELECT DISTINCT COUNT ( t2.paperid ) FROM writes AS t2 JOIN author AS t1 ON t2.authorid = t1.authorid JOIN paper AS t3 ON t2.paperid = t3.paperid WHERE t1.authorname = "michael i. jordan" AND t3.year = 2016;</SQL_QUERY>
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scholar
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SELECT DISTINCT COUNT ( t2.paperid ) FROM writes AS t2 JOIN author AS t1 ON t2.authorid = t1.authorid JOIN paper AS t3 ON t2.paperid = t3.paperid WHERE t1.authorname = "michael i. jordan" AND t3.year = 2016;
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How many papers did michael i. jordan publish in 2016 ?
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[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>How many papers does michael i. jordan have in 2016 ?</question>
[SQL]:
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<SQL_QUERY>SELECT DISTINCT COUNT ( t2.paperid ) FROM writes AS t2 JOIN author AS t1 ON t2.authorid = t1.authorid JOIN paper AS t3 ON t2.paperid = t3.paperid WHERE t1.authorname = "michael i. jordan" AND t3.year = 2016;</SQL_QUERY>
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scholar
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SELECT DISTINCT COUNT ( t2.paperid ) FROM writes AS t2 JOIN author AS t1 ON t2.authorid = t1.authorid JOIN paper AS t3 ON t2.paperid = t3.paperid WHERE t1.authorname = "michael i. jordan" AND t3.year = 2016;
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How many papers does michael i. jordan have in 2016 ?
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[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>How many papers did michael i. jordan publish in 2016</question>
[SQL]:
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<SQL_QUERY>SELECT DISTINCT COUNT ( t2.paperid ) FROM writes AS t2 JOIN author AS t1 ON t2.authorid = t1.authorid JOIN paper AS t3 ON t2.paperid = t3.paperid WHERE t1.authorname = "michael i. jordan" AND t3.year = 2016;</SQL_QUERY>
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scholar
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SELECT DISTINCT COUNT ( t2.paperid ) FROM writes AS t2 JOIN author AS t1 ON t2.authorid = t1.authorid JOIN paper AS t3 ON t2.paperid = t3.paperid WHERE t1.authorname = "michael i. jordan" AND t3.year = 2016;
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How many papers did michael i. jordan publish in 2016
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[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>count of ACL papers by author</question>
[SQL]:
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<SQL_QUERY>SELECT DISTINCT COUNT ( t2.paperid ) , t1.authorid FROM venue AS t3 JOIN paper AS t2 ON t3.venueid = t2.venueid JOIN writes AS t1 ON t1.paperid = t2.paperid WHERE t3.venuename = "ACL" GROUP BY t1.authorid;</SQL_QUERY>
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scholar
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SELECT DISTINCT COUNT ( t2.paperid ) , t1.authorid FROM venue AS t3 JOIN paper AS t2 ON t3.venueid = t2.venueid JOIN writes AS t1 ON t1.paperid = t2.paperid WHERE t3.venuename = "ACL" GROUP BY t1.authorid;
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count of ACL papers by author
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[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>how many ACL papers by author</question>
[SQL]:
|
<SQL_QUERY>SELECT DISTINCT COUNT ( t2.paperid ) , t1.authorid FROM venue AS t3 JOIN paper AS t2 ON t3.venueid = t2.venueid JOIN writes AS t1 ON t1.paperid = t2.paperid WHERE t3.venuename = "ACL" GROUP BY t1.authorid;</SQL_QUERY>
|
scholar
|
SELECT DISTINCT COUNT ( t2.paperid ) , t1.authorid FROM venue AS t3 JOIN paper AS t2 ON t3.venueid = t2.venueid JOIN writes AS t1 ON t1.paperid = t2.paperid WHERE t3.venuename = "ACL" GROUP BY t1.authorid;
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how many ACL papers by author
|
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>number of ACL papers by author</question>
[SQL]:
|
<SQL_QUERY>SELECT DISTINCT COUNT ( t2.paperid ) , t1.authorid FROM venue AS t3 JOIN paper AS t2 ON t3.venueid = t2.venueid JOIN writes AS t1 ON t1.paperid = t2.paperid WHERE t3.venuename = "ACL" GROUP BY t1.authorid;</SQL_QUERY>
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scholar
|
SELECT DISTINCT COUNT ( t2.paperid ) , t1.authorid FROM venue AS t3 JOIN paper AS t2 ON t3.venueid = t2.venueid JOIN writes AS t1 ON t1.paperid = t2.paperid WHERE t3.venuename = "ACL" GROUP BY t1.authorid;
|
number of ACL papers by author
|
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>who wrote the most papers for CVPR 2007</question>
[SQL]:
|
<SQL_QUERY>SELECT DISTINCT COUNT ( t2.paperid ) , t1.authorid FROM venue AS t3 JOIN paper AS t2 ON t3.venueid = t2.venueid JOIN writes AS t1 ON t1.paperid = t2.paperid WHERE t2.year = 2007 AND t3.venuename = "CVPR" GROUP BY t1.authorid ORDER BY COUNT ( t2.paperid ) DESC;</SQL_QUERY>
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scholar
|
SELECT DISTINCT COUNT ( t2.paperid ) , t1.authorid FROM venue AS t3 JOIN paper AS t2 ON t3.venueid = t2.venueid JOIN writes AS t1 ON t1.paperid = t2.paperid WHERE t2.year = 2007 AND t3.venuename = "CVPR" GROUP BY t1.authorid ORDER BY COUNT ( t2.paperid ) DESC;
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who wrote the most papers for CVPR 2007
|
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>who published papers in CVPR 2007</question>
[SQL]:
|
<SQL_QUERY>SELECT DISTINCT COUNT ( t2.paperid ) , t1.authorid FROM venue AS t3 JOIN paper AS t2 ON t3.venueid = t2.venueid JOIN writes AS t1 ON t1.paperid = t2.paperid WHERE t2.year = 2007 AND t3.venuename = "CVPR" GROUP BY t1.authorid ORDER BY COUNT ( t2.paperid ) DESC;</SQL_QUERY>
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scholar
|
SELECT DISTINCT COUNT ( t2.paperid ) , t1.authorid FROM venue AS t3 JOIN paper AS t2 ON t3.venueid = t2.venueid JOIN writes AS t1 ON t1.paperid = t2.paperid WHERE t2.year = 2007 AND t3.venuename = "CVPR" GROUP BY t1.authorid ORDER BY COUNT ( t2.paperid ) DESC;
|
who published papers in CVPR 2007
|
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
|
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>who wrote the most CVPR papers in 2007</question>
[SQL]:
|
<SQL_QUERY>SELECT DISTINCT COUNT ( t2.paperid ) , t1.authorid FROM venue AS t3 JOIN paper AS t2 ON t3.venueid = t2.venueid JOIN writes AS t1 ON t1.paperid = t2.paperid WHERE t2.year = 2007 AND t3.venuename = "CVPR" GROUP BY t1.authorid ORDER BY COUNT ( t2.paperid ) DESC;</SQL_QUERY>
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scholar
|
SELECT DISTINCT COUNT ( t2.paperid ) , t1.authorid FROM venue AS t3 JOIN paper AS t2 ON t3.venueid = t2.venueid JOIN writes AS t1 ON t1.paperid = t2.paperid WHERE t2.year = 2007 AND t3.venuename = "CVPR" GROUP BY t1.authorid ORDER BY COUNT ( t2.paperid ) DESC;
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who wrote the most CVPR papers in 2007
|
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>most published author at CVPR 2007</question>
[SQL]:
|
<SQL_QUERY>SELECT DISTINCT COUNT ( t2.paperid ) , t1.authorid FROM venue AS t3 JOIN paper AS t2 ON t3.venueid = t2.venueid JOIN writes AS t1 ON t1.paperid = t2.paperid WHERE t2.year = 2007 AND t3.venuename = "CVPR" GROUP BY t1.authorid ORDER BY COUNT ( t2.paperid ) DESC;</SQL_QUERY>
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scholar
|
SELECT DISTINCT COUNT ( t2.paperid ) , t1.authorid FROM venue AS t3 JOIN paper AS t2 ON t3.venueid = t2.venueid JOIN writes AS t1 ON t1.paperid = t2.paperid WHERE t2.year = 2007 AND t3.venuename = "CVPR" GROUP BY t1.authorid ORDER BY COUNT ( t2.paperid ) DESC;
|
most published author at CVPR 2007
|
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
|
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>who published the most papers in CVPR 2007</question>
[SQL]:
|
<SQL_QUERY>SELECT DISTINCT COUNT ( t2.paperid ) , t1.authorid FROM venue AS t3 JOIN paper AS t2 ON t3.venueid = t2.venueid JOIN writes AS t1 ON t1.paperid = t2.paperid WHERE t2.year = 2007 AND t3.venuename = "CVPR" GROUP BY t1.authorid ORDER BY COUNT ( t2.paperid ) DESC;</SQL_QUERY>
|
scholar
|
SELECT DISTINCT COUNT ( t2.paperid ) , t1.authorid FROM venue AS t3 JOIN paper AS t2 ON t3.venueid = t2.venueid JOIN writes AS t1 ON t1.paperid = t2.paperid WHERE t2.year = 2007 AND t3.venuename = "CVPR" GROUP BY t1.authorid ORDER BY COUNT ( t2.paperid ) DESC;
|
who published the most papers in CVPR 2007
|
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
|
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
|
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
|
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>Who published the most papers in 2007 at CVPR ?</question>
[SQL]:
|
<SQL_QUERY>SELECT DISTINCT COUNT ( t2.paperid ) , t1.authorid FROM venue AS t3 JOIN paper AS t2 ON t3.venueid = t2.venueid JOIN writes AS t1 ON t1.paperid = t2.paperid WHERE t2.year = 2007 AND t3.venuename = "CVPR" GROUP BY t1.authorid ORDER BY COUNT ( t2.paperid ) DESC;</SQL_QUERY>
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scholar
|
SELECT DISTINCT COUNT ( t2.paperid ) , t1.authorid FROM venue AS t3 JOIN paper AS t2 ON t3.venueid = t2.venueid JOIN writes AS t1 ON t1.paperid = t2.paperid WHERE t2.year = 2007 AND t3.venuename = "CVPR" GROUP BY t1.authorid ORDER BY COUNT ( t2.paperid ) DESC;
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Who published the most papers in 2007 at CVPR ?
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[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>How many papers in ACL 2015 ?</question>
[SQL]:
|
<SQL_QUERY>SELECT DISTINCT COUNT ( DISTINCT t1.paperid ) FROM venue AS t2 JOIN paper AS t1 ON t2.venueid = t1.venueid WHERE t1.year = 2015 AND t2.venuename = "ACL";</SQL_QUERY>
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scholar
|
SELECT DISTINCT COUNT ( DISTINCT t1.paperid ) FROM venue AS t2 JOIN paper AS t1 ON t2.venueid = t1.venueid WHERE t1.year = 2015 AND t2.venuename = "ACL";
|
How many papers in ACL 2015 ?
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[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>number of papers published in ACL 2015</question>
[SQL]:
|
<SQL_QUERY>SELECT DISTINCT COUNT ( DISTINCT t1.paperid ) FROM venue AS t2 JOIN paper AS t1 ON t2.venueid = t1.venueid WHERE t1.year = 2015 AND t2.venuename = "ACL";</SQL_QUERY>
|
scholar
|
SELECT DISTINCT COUNT ( DISTINCT t1.paperid ) FROM venue AS t2 JOIN paper AS t1 ON t2.venueid = t1.venueid WHERE t1.year = 2015 AND t2.venuename = "ACL";
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number of papers published in ACL 2015
|
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
|
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
|
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
|
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>papers from 2014</question>
[SQL]:
|
<SQL_QUERY>SELECT DISTINCT paperid FROM paper WHERE YEAR = 2014;</SQL_QUERY>
|
scholar
|
SELECT DISTINCT paperid FROM paper WHERE YEAR = 2014;
|
papers from 2014
|
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
|
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
|
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
|
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>2014 papers</question>
[SQL]:
|
<SQL_QUERY>SELECT DISTINCT paperid FROM paper WHERE YEAR = 2014;</SQL_QUERY>
|
scholar
|
SELECT DISTINCT paperid FROM paper WHERE YEAR = 2014;
|
2014 papers
|
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
|
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
|
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
|
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>What papers does Richard Ladner have in chi ?</question>
[SQL]:
|
<SQL_QUERY>SELECT DISTINCT t3.paperid FROM venue AS t4 JOIN paper AS t3 ON t4.venueid = t3.venueid JOIN writes AS t2 ON t2.paperid = t3.paperid JOIN author AS t1 ON t2.authorid = t1.authorid WHERE t1.authorname = "Richard Ladner" AND t4.venuename = "chi";</SQL_QUERY>
|
scholar
|
SELECT DISTINCT t3.paperid FROM venue AS t4 JOIN paper AS t3 ON t4.venueid = t3.venueid JOIN writes AS t2 ON t2.paperid = t3.paperid JOIN author AS t1 ON t2.authorid = t1.authorid WHERE t1.authorname = "Richard Ladner" AND t4.venuename = "chi";
|
What papers does Richard Ladner have in chi ?
|
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
|
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
|
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
|
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>what paper has Richard Ladner published in chi journal ?</question>
[SQL]:
|
<SQL_QUERY>SELECT DISTINCT t3.paperid FROM venue AS t4 JOIN paper AS t3 ON t4.venueid = t3.venueid JOIN writes AS t2 ON t2.paperid = t3.paperid JOIN author AS t1 ON t2.authorid = t1.authorid WHERE t1.authorname = "Richard Ladner" AND t4.venuename = "chi";</SQL_QUERY>
|
scholar
|
SELECT DISTINCT t3.paperid FROM venue AS t4 JOIN paper AS t3 ON t4.venueid = t3.venueid JOIN writes AS t2 ON t2.paperid = t3.paperid JOIN author AS t1 ON t2.authorid = t1.authorid WHERE t1.authorname = "Richard Ladner" AND t4.venuename = "chi";
|
what paper has Richard Ladner published in chi journal ?
|
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
|
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
|
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
|
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>what paper has Richard Ladner published in chi ?</question>
[SQL]:
|
<SQL_QUERY>SELECT DISTINCT t3.paperid FROM venue AS t4 JOIN paper AS t3 ON t4.venueid = t3.venueid JOIN writes AS t2 ON t2.paperid = t3.paperid JOIN author AS t1 ON t2.authorid = t1.authorid WHERE t1.authorname = "Richard Ladner" AND t4.venuename = "chi";</SQL_QUERY>
|
scholar
|
SELECT DISTINCT t3.paperid FROM venue AS t4 JOIN paper AS t3 ON t4.venueid = t3.venueid JOIN writes AS t2 ON t2.paperid = t3.paperid JOIN author AS t1 ON t2.authorid = t1.authorid WHERE t1.authorname = "Richard Ladner" AND t4.venuename = "chi";
|
what paper has Richard Ladner published in chi ?
|
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
|
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
|
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
|
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>papers by Richard Ladner published at chi</question>
[SQL]:
|
<SQL_QUERY>SELECT DISTINCT t3.paperid FROM venue AS t4 JOIN paper AS t3 ON t4.venueid = t3.venueid JOIN writes AS t2 ON t2.paperid = t3.paperid JOIN author AS t1 ON t2.authorid = t1.authorid WHERE t1.authorname = "Richard Ladner" AND t4.venuename = "chi";</SQL_QUERY>
|
scholar
|
SELECT DISTINCT t3.paperid FROM venue AS t4 JOIN paper AS t3 ON t4.venueid = t3.venueid JOIN writes AS t2 ON t2.paperid = t3.paperid JOIN author AS t1 ON t2.authorid = t1.authorid WHERE t1.authorname = "Richard Ladner" AND t4.venuename = "chi";
|
papers by Richard Ladner published at chi
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[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>Does Richard Ladner publish in chi ?</question>
[SQL]:
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<SQL_QUERY>SELECT DISTINCT t3.paperid FROM venue AS t4 JOIN paper AS t3 ON t4.venueid = t3.venueid JOIN writes AS t2 ON t2.paperid = t3.paperid JOIN author AS t1 ON t2.authorid = t1.authorid WHERE t1.authorname = "Richard Ladner" AND t4.venuename = "chi";</SQL_QUERY>
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scholar
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SELECT DISTINCT t3.paperid FROM venue AS t4 JOIN paper AS t3 ON t4.venueid = t3.venueid JOIN writes AS t2 ON t2.paperid = t3.paperid JOIN author AS t1 ON t2.authorid = t1.authorid WHERE t1.authorname = "Richard Ladner" AND t4.venuename = "chi";
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Does Richard Ladner publish in chi ?
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[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>What has Richard Ladner published at chi ?</question>
[SQL]:
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<SQL_QUERY>SELECT DISTINCT t3.paperid FROM venue AS t4 JOIN paper AS t3 ON t4.venueid = t3.venueid JOIN writes AS t2 ON t2.paperid = t3.paperid JOIN author AS t1 ON t2.authorid = t1.authorid WHERE t1.authorname = "Richard Ladner" AND t4.venuename = "chi";</SQL_QUERY>
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scholar
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SELECT DISTINCT t3.paperid FROM venue AS t4 JOIN paper AS t3 ON t4.venueid = t3.venueid JOIN writes AS t2 ON t2.paperid = t3.paperid JOIN author AS t1 ON t2.authorid = t1.authorid WHERE t1.authorname = "Richard Ladner" AND t4.venuename = "chi";
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What has Richard Ladner published at chi ?
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[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>What papers has Richard Ladner written at chi ?</question>
[SQL]:
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<SQL_QUERY>SELECT DISTINCT t3.paperid FROM venue AS t4 JOIN paper AS t3 ON t4.venueid = t3.venueid JOIN writes AS t2 ON t2.paperid = t3.paperid JOIN author AS t1 ON t2.authorid = t1.authorid WHERE t1.authorname = "Richard Ladner" AND t4.venuename = "chi";</SQL_QUERY>
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scholar
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SELECT DISTINCT t3.paperid FROM venue AS t4 JOIN paper AS t3 ON t4.venueid = t3.venueid JOIN writes AS t2 ON t2.paperid = t3.paperid JOIN author AS t1 ON t2.authorid = t1.authorid WHERE t1.authorname = "Richard Ladner" AND t4.venuename = "chi";
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What papers has Richard Ladner written at chi ?
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[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>Which paper did Richard Ladner present at chi ?</question>
[SQL]:
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<SQL_QUERY>SELECT DISTINCT t3.paperid FROM venue AS t4 JOIN paper AS t3 ON t4.venueid = t3.venueid JOIN writes AS t2 ON t2.paperid = t3.paperid JOIN author AS t1 ON t2.authorid = t1.authorid WHERE t1.authorname = "Richard Ladner" AND t4.venuename = "chi";</SQL_QUERY>
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scholar
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SELECT DISTINCT t3.paperid FROM venue AS t4 JOIN paper AS t3 ON t4.venueid = t3.venueid JOIN writes AS t2 ON t2.paperid = t3.paperid JOIN author AS t1 ON t2.authorid = t1.authorid WHERE t1.authorname = "Richard Ladner" AND t4.venuename = "chi";
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Which paper did Richard Ladner present at chi ?
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[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>What is the paper with the most citation about Artificial Intelligence ?</question>
[SQL]:
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<SQL_QUERY>SELECT DISTINCT t4.citedpaperid , COUNT ( t4.citingpaperid ) FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid JOIN cite AS t4 ON t3.paperid = t4.citedpaperid WHERE t1.keyphrasename = "Artificial Intelligence" GROUP BY t4.citedpaperid ORDER BY COUNT ( t4.citingpaperid ) DESC;</SQL_QUERY>
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scholar
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SELECT DISTINCT t4.citedpaperid , COUNT ( t4.citingpaperid ) FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid JOIN cite AS t4 ON t3.paperid = t4.citedpaperid WHERE t1.keyphrasename = "Artificial Intelligence" GROUP BY t4.citedpaperid ORDER BY COUNT ( t4.citingpaperid ) DESC;
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What is the paper with the most citation about Artificial Intelligence ?
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[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>Fetch me the most cited publications for Artificial Intelligence</question>
[SQL]:
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<SQL_QUERY>SELECT DISTINCT t4.citedpaperid , COUNT ( t4.citingpaperid ) FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid JOIN cite AS t4 ON t3.paperid = t4.citedpaperid WHERE t1.keyphrasename = "Artificial Intelligence" GROUP BY t4.citedpaperid ORDER BY COUNT ( t4.citingpaperid ) DESC;</SQL_QUERY>
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scholar
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SELECT DISTINCT t4.citedpaperid , COUNT ( t4.citingpaperid ) FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid JOIN cite AS t4 ON t3.paperid = t4.citedpaperid WHERE t1.keyphrasename = "Artificial Intelligence" GROUP BY t4.citedpaperid ORDER BY COUNT ( t4.citingpaperid ) DESC;
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Fetch me the most cited publications for Artificial Intelligence
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[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>topics at ACL 2014</question>
[SQL]:
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<SQL_QUERY>SELECT DISTINCT COUNT ( t3.paperid ) , t1.keyphraseid FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid JOIN venue AS t4 ON t4.venueid = t3.venueid WHERE t3.year = 2014 AND t4.venuename = "ACL" GROUP BY t1.keyphraseid ORDER BY COUNT ( t3.paperid ) DESC;</SQL_QUERY>
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scholar
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SELECT DISTINCT COUNT ( t3.paperid ) , t1.keyphraseid FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid JOIN venue AS t4 ON t4.venueid = t3.venueid WHERE t3.year = 2014 AND t4.venuename = "ACL" GROUP BY t1.keyphraseid ORDER BY COUNT ( t3.paperid ) DESC;
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topics at ACL 2014
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[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>most common topics at NIPS 2015</question>
[SQL]:
|
<SQL_QUERY>SELECT DISTINCT COUNT ( t3.paperid ) , t1.keyphraseid FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid JOIN venue AS t4 ON t4.venueid = t3.venueid WHERE t3.year = 2015 AND t4.venuename = "NIPS" GROUP BY t1.keyphraseid ORDER BY COUNT ( t3.paperid ) DESC;</SQL_QUERY>
|
scholar
|
SELECT DISTINCT COUNT ( t3.paperid ) , t1.keyphraseid FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid JOIN venue AS t4 ON t4.venueid = t3.venueid WHERE t3.year = 2015 AND t4.venuename = "NIPS" GROUP BY t1.keyphraseid ORDER BY COUNT ( t3.paperid ) DESC;
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most common topics at NIPS 2015
|
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>most popular topics at NIPS 2015</question>
[SQL]:
|
<SQL_QUERY>SELECT DISTINCT COUNT ( t3.paperid ) , t1.keyphraseid FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid JOIN venue AS t4 ON t4.venueid = t3.venueid WHERE t3.year = 2015 AND t4.venuename = "NIPS" GROUP BY t1.keyphraseid ORDER BY COUNT ( t3.paperid ) DESC;</SQL_QUERY>
|
scholar
|
SELECT DISTINCT COUNT ( t3.paperid ) , t1.keyphraseid FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid JOIN venue AS t4 ON t4.venueid = t3.venueid WHERE t3.year = 2015 AND t4.venuename = "NIPS" GROUP BY t1.keyphraseid ORDER BY COUNT ( t3.paperid ) DESC;
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most popular topics at NIPS 2015
|
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>hot topics at NIPS 2015</question>
[SQL]:
|
<SQL_QUERY>SELECT DISTINCT COUNT ( t3.paperid ) , t1.keyphraseid FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid JOIN venue AS t4 ON t4.venueid = t3.venueid WHERE t3.year = 2015 AND t4.venuename = "NIPS" GROUP BY t1.keyphraseid ORDER BY COUNT ( t3.paperid ) DESC;</SQL_QUERY>
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scholar
|
SELECT DISTINCT COUNT ( t3.paperid ) , t1.keyphraseid FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid JOIN venue AS t4 ON t4.venueid = t3.venueid WHERE t3.year = 2015 AND t4.venuename = "NIPS" GROUP BY t1.keyphraseid ORDER BY COUNT ( t3.paperid ) DESC;
|
hot topics at NIPS 2015
|
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
|
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
|
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>popular topics at NIPS 2015</question>
[SQL]:
|
<SQL_QUERY>SELECT DISTINCT COUNT ( t3.paperid ) , t1.keyphraseid FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid JOIN venue AS t4 ON t4.venueid = t3.venueid WHERE t3.year = 2015 AND t4.venuename = "NIPS" GROUP BY t1.keyphraseid ORDER BY COUNT ( t3.paperid ) DESC;</SQL_QUERY>
|
scholar
|
SELECT DISTINCT COUNT ( t3.paperid ) , t1.keyphraseid FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid JOIN venue AS t4 ON t4.venueid = t3.venueid WHERE t3.year = 2015 AND t4.venuename = "NIPS" GROUP BY t1.keyphraseid ORDER BY COUNT ( t3.paperid ) DESC;
|
popular topics at NIPS 2015
|
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
|
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
|
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
|
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>which topics were most popular at NIPS 2015</question>
[SQL]:
|
<SQL_QUERY>SELECT DISTINCT COUNT ( t3.paperid ) , t1.keyphraseid FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid JOIN venue AS t4 ON t4.venueid = t3.venueid WHERE t3.year = 2015 AND t4.venuename = "NIPS" GROUP BY t1.keyphraseid ORDER BY COUNT ( t3.paperid ) DESC;</SQL_QUERY>
|
scholar
|
SELECT DISTINCT COUNT ( t3.paperid ) , t1.keyphraseid FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid JOIN venue AS t4 ON t4.venueid = t3.venueid WHERE t3.year = 2015 AND t4.venuename = "NIPS" GROUP BY t1.keyphraseid ORDER BY COUNT ( t3.paperid ) DESC;
|
which topics were most popular at NIPS 2015
|
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
|
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
|
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
|
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>topics popular at NIPS 2015</question>
[SQL]:
|
<SQL_QUERY>SELECT DISTINCT COUNT ( t3.paperid ) , t1.keyphraseid FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid JOIN venue AS t4 ON t4.venueid = t3.venueid WHERE t3.year = 2015 AND t4.venuename = "NIPS" GROUP BY t1.keyphraseid ORDER BY COUNT ( t3.paperid ) DESC;</SQL_QUERY>
|
scholar
|
SELECT DISTINCT COUNT ( t3.paperid ) , t1.keyphraseid FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid JOIN venue AS t4 ON t4.venueid = t3.venueid WHERE t3.year = 2015 AND t4.venuename = "NIPS" GROUP BY t1.keyphraseid ORDER BY COUNT ( t3.paperid ) DESC;
|
topics popular at NIPS 2015
|
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
|
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
|
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
|
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>How many papers related to deep reinforcement learning in nips ?</question>
[SQL]:
|
<SQL_QUERY>SELECT DISTINCT COUNT ( t3.paperid ) FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid JOIN venue AS t4 ON t4.venueid = t3.venueid WHERE t1.keyphrasename = "deep reinforcement learning" AND t4.venuename = "nips";</SQL_QUERY>
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scholar
|
SELECT DISTINCT COUNT ( t3.paperid ) FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid JOIN venue AS t4 ON t4.venueid = t3.venueid WHERE t1.keyphrasename = "deep reinforcement learning" AND t4.venuename = "nips";
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How many papers related to deep reinforcement learning in nips ?
|
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
|
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
|
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
|
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>Papers on WebKB</question>
[SQL]:
|
<SQL_QUERY>SELECT DISTINCT t3.paperid FROM paperdataset AS t2 JOIN dataset AS t1 ON t2.datasetid = t1.datasetid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.datasetname = "WebKB";</SQL_QUERY>
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scholar
|
SELECT DISTINCT t3.paperid FROM paperdataset AS t2 JOIN dataset AS t1 ON t2.datasetid = t1.datasetid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.datasetname = "WebKB";
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Papers on WebKB
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[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>which papers used WebKB ?</question>
[SQL]:
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<SQL_QUERY>SELECT DISTINCT t3.paperid FROM paperdataset AS t2 JOIN dataset AS t1 ON t2.datasetid = t1.datasetid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.datasetname = "WebKB";</SQL_QUERY>
|
scholar
|
SELECT DISTINCT t3.paperid FROM paperdataset AS t2 JOIN dataset AS t1 ON t2.datasetid = t1.datasetid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.datasetname = "WebKB";
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which papers used WebKB ?
|
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>papers about WebKB</question>
[SQL]:
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<SQL_QUERY>SELECT DISTINCT t3.paperid FROM paperdataset AS t2 JOIN dataset AS t1 ON t2.datasetid = t1.datasetid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.datasetname = "WebKB";</SQL_QUERY>
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scholar
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SELECT DISTINCT t3.paperid FROM paperdataset AS t2 JOIN dataset AS t1 ON t2.datasetid = t1.datasetid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.datasetname = "WebKB";
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papers about WebKB
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[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>List the papers that used WebKB dataset</question>
[SQL]:
|
<SQL_QUERY>SELECT DISTINCT t3.paperid FROM paperdataset AS t2 JOIN dataset AS t1 ON t2.datasetid = t1.datasetid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.datasetname = "WebKB";</SQL_QUERY>
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scholar
|
SELECT DISTINCT t3.paperid FROM paperdataset AS t2 JOIN dataset AS t1 ON t2.datasetid = t1.datasetid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.datasetname = "WebKB";
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List the papers that used WebKB dataset
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[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>papers using WebKB</question>
[SQL]:
|
<SQL_QUERY>SELECT DISTINCT t3.paperid FROM paperdataset AS t2 JOIN dataset AS t1 ON t2.datasetid = t1.datasetid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.datasetname = "WebKB";</SQL_QUERY>
|
scholar
|
SELECT DISTINCT t3.paperid FROM paperdataset AS t2 JOIN dataset AS t1 ON t2.datasetid = t1.datasetid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.datasetname = "WebKB";
|
papers using WebKB
|
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>papers that use WebKB</question>
[SQL]:
|
<SQL_QUERY>SELECT DISTINCT t3.paperid FROM paperdataset AS t2 JOIN dataset AS t1 ON t2.datasetid = t1.datasetid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.datasetname = "WebKB";</SQL_QUERY>
|
scholar
|
SELECT DISTINCT t3.paperid FROM paperdataset AS t2 JOIN dataset AS t1 ON t2.datasetid = t1.datasetid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.datasetname = "WebKB";
|
papers that use WebKB
|
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>WebKB papers</question>
[SQL]:
|
<SQL_QUERY>SELECT DISTINCT t3.paperid FROM paperdataset AS t2 JOIN dataset AS t1 ON t2.datasetid = t1.datasetid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.datasetname = "WebKB";</SQL_QUERY>
|
scholar
|
SELECT DISTINCT t3.paperid FROM paperdataset AS t2 JOIN dataset AS t1 ON t2.datasetid = t1.datasetid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.datasetname = "WebKB";
|
WebKB papers
|
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>papers that used WebKB</question>
[SQL]:
|
<SQL_QUERY>SELECT DISTINCT t3.paperid FROM paperdataset AS t2 JOIN dataset AS t1 ON t2.datasetid = t1.datasetid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.datasetname = "WebKB";</SQL_QUERY>
|
scholar
|
SELECT DISTINCT t3.paperid FROM paperdataset AS t2 JOIN dataset AS t1 ON t2.datasetid = t1.datasetid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.datasetname = "WebKB";
|
papers that used WebKB
|
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
|
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
|
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
|
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>Papers that use the WebKB dataset</question>
[SQL]:
|
<SQL_QUERY>SELECT DISTINCT t3.paperid FROM paperdataset AS t2 JOIN dataset AS t1 ON t2.datasetid = t1.datasetid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.datasetname = "WebKB";</SQL_QUERY>
|
scholar
|
SELECT DISTINCT t3.paperid FROM paperdataset AS t2 JOIN dataset AS t1 ON t2.datasetid = t1.datasetid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.datasetname = "WebKB";
|
Papers that use the WebKB dataset
|
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
|
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>conferences in 2013</question>
[SQL]:
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<SQL_QUERY>SELECT DISTINCT venueid FROM paper WHERE YEAR = 2013;</SQL_QUERY>
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scholar
|
SELECT DISTINCT venueid FROM paper WHERE YEAR = 2013;
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conferences in 2013
|
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
|
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>how is the most cited author in CVPR ?</question>
[SQL]:
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<SQL_QUERY>SELECT DISTINCT COUNT ( DISTINCT t4.citingpaperid ) , t1.authorid FROM venue AS t3 JOIN paper AS t2 ON t3.venueid = t2.venueid JOIN writes AS t1 ON t1.paperid = t2.paperid JOIN cite AS t4 ON t1.paperid = t4.citedpaperid WHERE t3.venuename = "CVPR" GROUP BY t1.authorid ORDER BY COUNT ( DISTINCT t4.citingpaperid ) DESC;</SQL_QUERY>
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scholar
|
SELECT DISTINCT COUNT ( DISTINCT t4.citingpaperid ) , t1.authorid FROM venue AS t3 JOIN paper AS t2 ON t3.venueid = t2.venueid JOIN writes AS t1 ON t1.paperid = t2.paperid JOIN cite AS t4 ON t1.paperid = t4.citedpaperid WHERE t3.venuename = "CVPR" GROUP BY t1.authorid ORDER BY COUNT ( DISTINCT t4.citingpaperid ) DESC;
|
how is the most cited author in CVPR ?
|
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
|
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>who is the most cited author at CVPR ?</question>
[SQL]:
|
<SQL_QUERY>SELECT DISTINCT COUNT ( DISTINCT t4.citingpaperid ) , t1.authorid FROM venue AS t3 JOIN paper AS t2 ON t3.venueid = t2.venueid JOIN writes AS t1 ON t1.paperid = t2.paperid JOIN cite AS t4 ON t1.paperid = t4.citedpaperid WHERE t3.venuename = "CVPR" GROUP BY t1.authorid ORDER BY COUNT ( DISTINCT t4.citingpaperid ) DESC;</SQL_QUERY>
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scholar
|
SELECT DISTINCT COUNT ( DISTINCT t4.citingpaperid ) , t1.authorid FROM venue AS t3 JOIN paper AS t2 ON t3.venueid = t2.venueid JOIN writes AS t1 ON t1.paperid = t2.paperid JOIN cite AS t4 ON t1.paperid = t4.citedpaperid WHERE t3.venuename = "CVPR" GROUP BY t1.authorid ORDER BY COUNT ( DISTINCT t4.citingpaperid ) DESC;
|
who is the most cited author at CVPR ?
|
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
|
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
|
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
|
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>what are some syntactic parsing papers that chris dyer did not write ?</question>
[SQL]:
|
<SQL_QUERY>SELECT DISTINCT t1.authorname , t3.paperid FROM paperkeyphrase AS t2 JOIN keyphrase AS t5 ON t2.keyphraseid = t5.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t1.authorname != "chris dyer" AND t5.keyphrasename = "syntactic parsing";</SQL_QUERY>
|
scholar
|
SELECT DISTINCT t1.authorname , t3.paperid FROM paperkeyphrase AS t2 JOIN keyphrase AS t5 ON t2.keyphraseid = t5.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t1.authorname != "chris dyer" AND t5.keyphrasename = "syntactic parsing";
|
what are some syntactic parsing papers that chris dyer did not write ?
|
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
|
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
|
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
|
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>are there any syntactic parsing papers not written by chris dyer ?</question>
[SQL]:
|
<SQL_QUERY>SELECT DISTINCT t1.authorname , t3.paperid FROM paperkeyphrase AS t2 JOIN keyphrase AS t5 ON t2.keyphraseid = t5.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t1.authorname != "chris dyer" AND t5.keyphrasename = "syntactic parsing";</SQL_QUERY>
|
scholar
|
SELECT DISTINCT t1.authorname , t3.paperid FROM paperkeyphrase AS t2 JOIN keyphrase AS t5 ON t2.keyphraseid = t5.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t1.authorname != "chris dyer" AND t5.keyphrasename = "syntactic parsing";
|
are there any syntactic parsing papers not written by chris dyer ?
|
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
|
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
|
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
|
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>what are syntactic parsing papers not written by chris dyer</question>
[SQL]:
|
<SQL_QUERY>SELECT DISTINCT t1.authorname , t3.paperid FROM paperkeyphrase AS t2 JOIN keyphrase AS t5 ON t2.keyphraseid = t5.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t1.authorname != "chris dyer" AND t5.keyphrasename = "syntactic parsing";</SQL_QUERY>
|
scholar
|
SELECT DISTINCT t1.authorname , t3.paperid FROM paperkeyphrase AS t2 JOIN keyphrase AS t5 ON t2.keyphraseid = t5.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t1.authorname != "chris dyer" AND t5.keyphrasename = "syntactic parsing";
|
what are syntactic parsing papers not written by chris dyer
|
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
|
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
|
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
|
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>syntactic parsing papers not written by chris dyer</question>
[SQL]:
|
<SQL_QUERY>SELECT DISTINCT t1.authorname , t3.paperid FROM paperkeyphrase AS t2 JOIN keyphrase AS t5 ON t2.keyphraseid = t5.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t1.authorname != "chris dyer" AND t5.keyphrasename = "syntactic parsing";</SQL_QUERY>
|
scholar
|
SELECT DISTINCT t1.authorname , t3.paperid FROM paperkeyphrase AS t2 JOIN keyphrase AS t5 ON t2.keyphraseid = t5.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t1.authorname != "chris dyer" AND t5.keyphrasename = "syntactic parsing";
|
syntactic parsing papers not written by chris dyer
|
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
|
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
|
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
|
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>papers published in the last year</question>
[SQL]:
|
<SQL_QUERY>SELECT DISTINCT paperid FROM paper WHERE YEAR = ( SELECT MAX ( YEAR ) FROM paper );</SQL_QUERY>
|
scholar
|
SELECT DISTINCT paperid FROM paper WHERE YEAR = ( SELECT MAX ( YEAR ) FROM paper );
|
papers published in the last year
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[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>When was benjamin mako hill 's first publication ?</question>
[SQL]:
|
<SQL_QUERY>SELECT DISTINCT COUNT ( t3.paperid ) , t3.year FROM writes AS t2 JOIN author AS t1 ON t2.authorid = t1.authorid JOIN paper AS t3 ON t2.paperid = t3.paperid WHERE t1.authorname = "benjamin mako hill" GROUP BY t3.year ORDER BY t3.year;</SQL_QUERY>
|
scholar
|
SELECT DISTINCT COUNT ( t3.paperid ) , t3.year FROM writes AS t2 JOIN author AS t1 ON t2.authorid = t1.authorid JOIN paper AS t3 ON t2.paperid = t3.paperid WHERE t1.authorname = "benjamin mako hill" GROUP BY t3.year ORDER BY t3.year;
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When was benjamin mako hill 's first publication ?
|
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>When was benjamin mako hill 's first paper written ?</question>
[SQL]:
|
<SQL_QUERY>SELECT DISTINCT COUNT ( t3.paperid ) , t3.year FROM writes AS t2 JOIN author AS t1 ON t2.authorid = t1.authorid JOIN paper AS t3 ON t2.paperid = t3.paperid WHERE t1.authorname = "benjamin mako hill" GROUP BY t3.year ORDER BY t3.year;</SQL_QUERY>
|
scholar
|
SELECT DISTINCT COUNT ( t3.paperid ) , t3.year FROM writes AS t2 JOIN author AS t1 ON t2.authorid = t1.authorid JOIN paper AS t3 ON t2.paperid = t3.paperid WHERE t1.authorname = "benjamin mako hill" GROUP BY t3.year ORDER BY t3.year;
|
When was benjamin mako hill 's first paper written ?
|
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
|
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>When did ameet soni publish ?</question>
[SQL]:
|
<SQL_QUERY>SELECT DISTINCT COUNT ( t3.paperid ) , t3.year FROM writes AS t2 JOIN author AS t1 ON t2.authorid = t1.authorid JOIN paper AS t3 ON t2.paperid = t3.paperid WHERE t1.authorname = "ameet soni" GROUP BY t3.year ORDER BY t3.year;</SQL_QUERY>
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scholar
|
SELECT DISTINCT COUNT ( t3.paperid ) , t3.year FROM writes AS t2 JOIN author AS t1 ON t2.authorid = t1.authorid JOIN paper AS t3 ON t2.paperid = t3.paperid WHERE t1.authorname = "ameet soni" GROUP BY t3.year ORDER BY t3.year;
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When did ameet soni publish ?
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[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>Who cites Daniel A Reed the most</question>
[SQL]:
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<SQL_QUERY>SELECT DISTINCT COUNT ( t4.citingpaperid ) , t3.authorid FROM writes AS t2 JOIN author AS t1 ON t2.authorid = t1.authorid JOIN cite AS t4 ON t2.paperid = t4.citedpaperid JOIN writes AS t3 ON t3.paperid = t4.citingpaperid WHERE t1.authorname = "Daniel A Reed" GROUP BY t3.authorid ORDER BY COUNT ( t4.citingpaperid ) DESC;</SQL_QUERY>
|
scholar
|
SELECT DISTINCT COUNT ( t4.citingpaperid ) , t3.authorid FROM writes AS t2 JOIN author AS t1 ON t2.authorid = t1.authorid JOIN cite AS t4 ON t2.paperid = t4.citedpaperid JOIN writes AS t3 ON t3.paperid = t4.citingpaperid WHERE t1.authorname = "Daniel A Reed" GROUP BY t3.authorid ORDER BY COUNT ( t4.citingpaperid ) DESC;
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Who cites Daniel A Reed the most
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[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
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[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>Who cites Daniel A Reed most ?</question>
[SQL]:
|
<SQL_QUERY>SELECT DISTINCT COUNT ( t4.citingpaperid ) , t3.authorid FROM writes AS t2 JOIN author AS t1 ON t2.authorid = t1.authorid JOIN cite AS t4 ON t2.paperid = t4.citedpaperid JOIN writes AS t3 ON t3.paperid = t4.citingpaperid WHERE t1.authorname = "Daniel A Reed" GROUP BY t3.authorid ORDER BY COUNT ( t4.citingpaperid ) DESC;</SQL_QUERY>
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scholar
|
SELECT DISTINCT COUNT ( t4.citingpaperid ) , t3.authorid FROM writes AS t2 JOIN author AS t1 ON t2.authorid = t1.authorid JOIN cite AS t4 ON t2.paperid = t4.citedpaperid JOIN writes AS t3 ON t3.paperid = t4.citingpaperid WHERE t1.authorname = "Daniel A Reed" GROUP BY t3.authorid ORDER BY COUNT ( t4.citingpaperid ) DESC;
|
Who cites Daniel A Reed most ?
|
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
|
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
|
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
|
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>how many papers are in sigir ?</question>
[SQL]:
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<SQL_QUERY>SELECT DISTINCT COUNT ( t1.paperid ) FROM venue AS t2 JOIN paper AS t1 ON t2.venueid = t1.venueid WHERE t2.venuename = "sigir";</SQL_QUERY>
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scholar
|
SELECT DISTINCT COUNT ( t1.paperid ) FROM venue AS t2 JOIN paper AS t1 ON t2.venueid = t1.venueid WHERE t2.venuename = "sigir";
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how many papers are in sigir ?
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[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
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[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
|
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
|
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>"
<primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>"
<foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>"
Answer the following question with a SQL Statement:<question>how many papers does sigir have ?</question>
[SQL]:
|
<SQL_QUERY>SELECT DISTINCT COUNT ( t1.paperid ) FROM venue AS t2 JOIN paper AS t1 ON t2.venueid = t1.venueid WHERE t2.venuename = "sigir";</SQL_QUERY>
|
scholar
|
SELECT DISTINCT COUNT ( t1.paperid ) FROM venue AS t2 JOIN paper AS t1 ON t2.venueid = t1.venueid WHERE t2.venuename = "sigir";
|
how many papers does sigir have ?
|
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
|
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
|
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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