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The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 2 new columns ({'transaction_count', 'total_amount'}) and 9 missing columns ({'notes', 'id', 'date', 'payment_method', 'status', 'category', 'amount', 'description', 'receipt_number'}).

This happened while the csv dataset builder was generating data using

hf://datasets/Charvee/expense_log/expense_summary.csv (at revision 5b372c4903d9b6925210d63b3706ca80510e5118)

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              vendor: string
              transaction_count: int64
              total_amount: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 628
              to
              {'id': Value('int64'), 'date': Value('string'), 'category': Value('string'), 'description': Value('string'), 'amount': Value('float64'), 'payment_method': Value('string'), 'vendor': Value('string'), 'receipt_number': Value('string'), 'status': Value('string'), 'notes': Value('string')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1455, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1054, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1833, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 2 new columns ({'transaction_count', 'total_amount'}) and 9 missing columns ({'notes', 'id', 'date', 'payment_method', 'status', 'category', 'amount', 'description', 'receipt_number'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/Charvee/expense_log/expense_summary.csv (at revision 5b372c4903d9b6925210d63b3706ca80510e5118)
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

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id
int64
date
string
category
string
description
string
amount
float64
payment_method
string
vendor
string
receipt_number
string
status
string
notes
string
1
2024-11-24
Utilities
Internet service
125.54
Debit Card
Electric Company
RCP708748
Pending
Business expense
2
2024-11-19
Dining
Quick breakfast
20.14
Debit Card
Starbucks
RCP367903
Paid
Emergency purchase
3
2024-11-19
Healthcare
Vision checkup
248.63
Debit Card
City Medical Center
RCP674613
Pending
""
4
2024-12-17
Subscriptions
Streaming service
10.96
Mobile Payment
Netflix
RCP827155
Paid
""
5
2024-11-01
Groceries
Weekly grocery shopping
75.66
Mobile Payment
Kroger
RCP339846
Pending
Split with roommate
6
2024-12-02
Groceries
Weekly grocery shopping
104.7
Debit Card
Whole Foods
RCP462451
Reimbursed
""
7
2024-11-10
Groceries
Weekly grocery shopping
30.89
Credit Card
Kroger
RCP347744
Pending
Emergency purchase
8
2024-12-11
Home Maintenance
Plumbing repair
310.25
Mobile Payment
Home Depot
RCP533645
Paid
Emergency purchase
9
2024-12-24
Utilities
Internet service
121.24
Mobile Payment
Electric Company
RCP909139
Paid
Split with roommate
10
2024-11-09
Entertainment
Video game purchase
18.14
Cash
Steam
RCP706892
Reimbursed
""
11
2024-12-14
Groceries
Weekly grocery shopping
144.05
Cash
Target
RCP398759
Pending
""
12
2024-11-03
Groceries
Household essentials
120.96
Credit Card
Whole Foods
RCP623178
Paid
Split with roommate
13
2024-11-23
Groceries
Monthly stock up
57.61
Debit Card
Walmart
RCP384495
Reimbursed
Tax deductible
14
2024-12-17
Transport
Parking fee
60.69
Debit Card
Metro Transit
RCP997494
Reimbursed
""
15
2024-11-27
Subscriptions
Streaming service
16.52
Cash
Adobe
RCP481396
Reimbursed
""
16
2024-12-20
Utilities
Internet service
64.97
Cash
Water Utility
RCP949559
Reimbursed
""
17
2024-11-05
Transport
Gas fill-up
67.13
Debit Card
Shell
RCP257352
Reimbursed
Business expense
18
2024-12-12
Groceries
Monthly stock up
75.35
Cash
Target
RCP209081
Reimbursed
Emergency purchase
19
2024-12-23
Transport
Gas fill-up
30.43
Mobile Payment
Uber
RCP367734
Paid
Business expense
20
2024-11-13
Utilities
Water and sewage
142.57
Mobile Payment
Water Utility
RCP758549
Paid
Business expense
21
2024-12-03
Healthcare
Doctor visit copay
185.96
Debit Card
Dental Clinic
RCP660881
Reimbursed
""
22
2024-11-20
Dining
Family dinner
41.96
Debit Card
Olive Garden
RCP444505
Paid
""
23
2024-11-20
Dining
Quick breakfast
44.58
Debit Card
Starbucks
RCP621719
Paid
Split with roommate
24
2024-12-10
Transport
Parking fee
79.51
Credit Card
Shell
RCP407884
Reimbursed
Tax deductible
25
2024-11-29
Transport
Ride to airport
60.25
Mobile Payment
Metro Transit
RCP217289
Pending
""
26
2024-11-18
Entertainment
Concert tickets
39.99
Mobile Payment
Netflix
RCP816977
Pending
""
27
2024-12-23
Groceries
Weekly grocery shopping
27.58
Cash
Walmart
RCP403069
Reimbursed
""
28
2024-11-09
Groceries
Household essentials
75.72
Mobile Payment
Walmart
RCP668256
Reimbursed
""
29
2024-11-13
Insurance
Life insurance
240.54
Debit Card
Progressive
RCP670548
Pending
""
30
2024-12-26
Healthcare
Prescription refill
209.2
Mobile Payment
City Medical Center
RCP964452
Reimbursed
""
null
null
null
null
null
null
City Medical Center
null
null
null
null
null
null
null
null
null
Home Depot
null
null
null
null
null
null
null
null
null
Electric Company
null
null
null
null
null
null
null
null
null
Progressive
null
null
null
null
null
null
null
null
null
Whole Foods
null
null
null
null
null
null
null
null
null
Target
null
null
null
null
null
null
null
null
null
Water Utility
null
null
null
null
null
null
null
null
null
Dental Clinic
null
null
null
null
null
null
null
null
null
Walmart
null
null
null
null
null
null
null
null
null
Shell
null
null
null
null
null
null
null
null
null
Metro Transit
null
null
null
null
null
null
null
null
null
Kroger
null
null
null
null
null
null
null
null
null
Starbucks
null
null
null
null
null
null
null
null
null
Netflix
null
null
null
null
null
null
null
null
null
Olive Garden
null
null
null
null
null
null
null
null
null
Uber
null
null
null
null
null
null
null
null
null
Steam
null
null
null
null
null
null
null
null
null
Adobe
null
null
null

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