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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 3 new columns ({'Lending Fee', 'Lending Volume', 'Date'}) and 4 missing columns ({'Trading Value', 'Trading Volume.1', 'Trading Volume', 'Trading Value.1'}).
This happened while the csv dataset builder was generating data using
hf://datasets/johnmatters/Data/dayTrading-BFIF8U/BFIF8U_20150501.csv (at revision 74fedd48bef26b96a11540753bda24bd8c6eff29)
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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1870, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2292, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
Date: string
Security Code: string
Lending Volume: string
Lending Fee: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 743
to
{'Security Code': Value(dtype='string', id=None), 'Trading Volume': Value(dtype='string', id=None), 'Trading Value': Value(dtype='string', id=None), 'Trading Volume.1': Value(dtype='string', id=None), 'Trading Value.1': Value(dtype='string', id=None)}
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 1417, 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 1049, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1000, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1741, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1872, 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 3 new columns ({'Lending Fee', 'Lending Volume', 'Date'}) and 4 missing columns ({'Trading Value', 'Trading Volume.1', 'Trading Volume', 'Trading Value.1'}).
This happened while the csv dataset builder was generating data using
hf://datasets/johnmatters/Data/dayTrading-BFIF8U/BFIF8U_20150501.csv (at revision 74fedd48bef26b96a11540753bda24bd8c6eff29)
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)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Security Code string | Trading Volume string | Trading Value string | Trading Volume.1 string | Trading Value.1 string |
|---|---|---|---|---|
0050 | 3 | 227,500 | 0 | 0 |
0051 | 0 | 0 | 0 | 0 |
0052 | 0 | 0 | 0 | 0 |
0053 | 0 | 0 | 0 | 0 |
0054 | 0 | 0 | 0 | 0 |
0055 | 0 | 0 | 0 | 0 |
0056 | 2 | 51,160 | 0 | 0 |
0057 | 0 | 0 | 0 | 0 |
0058 | 0 | 0 | 0 | 0 |
0059 | 0 | 0 | 0 | 0 |
0061 | 0 | 0 | 0 | 0 |
006203 | 0 | 0 | 0 | 0 |
006204 | 0 | 0 | 0 | 0 |
006205 | 0 | 0 | 24 | 682,560 |
006206 | 2 | 58,590 | 0 | 0 |
006207 | 0 | 0 | 0 | 0 |
006208 | 0 | 0 | 0 | 0 |
00625K | 0 | 0 | 0 | 0 |
00631L | 0 | 0 | 0 | 0 |
00632R | 5 | 63,280 | 0 | 0 |
00633L | 2,014 | 72,078,370 | 0 | 0 |
00634R | 0 | 0 | 0 | 0 |
00635U | 0 | 0 | 0 | 0 |
00636 | 1 | 18,960 | 0 | 0 |
00636K | 0 | 0 | 0 | 0 |
00637L | 3,322 | 45,182,990 | 0 | 0 |
00638R | 0 | 0 | 0 | 0 |
00639 | 3 | 27,270 | 0 | 0 |
00640L | 2 | 38,520 | 0 | 0 |
00641R | 0 | 0 | 0 | 0 |
00642U | 0 | 0 | 0 | 0 |
00643 | 15 | 168,200 | 0 | 0 |
00643K | 0 | 0 | 0 | 0 |
00645 | 0 | 0 | 0 | 0 |
00646 | 0 | 0 | 0 | 0 |
00647L | 0 | 0 | 0 | 0 |
00648R | 124 | 1,624,990 | 106 | 1,391,280 |
00649 | 0 | 0 | 0 | 0 |
00650L | 0 | 0 | 0 | 0 |
00651R | 0 | 0 | 0 | 0 |
00652 | 0 | 0 | 0 | 0 |
00653L | 0 | 0 | 0 | 0 |
00654R | 0 | 0 | 0 | 0 |
00655L | 621 | 15,985,770 | 0 | 0 |
00656R | 0 | 0 | 9 | 122,200 |
00657 | 0 | 0 | 0 | 0 |
00657K | 0 | 0 | 0 | 0 |
00658L | 0 | 0 | 0 | 0 |
00659R | 0 | 0 | 0 | 0 |
00660 | 0 | 0 | 0 | 0 |
00661 | 0 | 0 | 0 | 0 |
00662 | 0 | 0 | 0 | 0 |
00663L | 23 | 728,750 | 0 | 0 |
00664R | 0 | 0 | 0 | 0 |
00665L | 2 | 56,800 | 0 | 0 |
00666R | 0 | 0 | 0 | 0 |
00668 | 0 | 0 | 0 | 0 |
00668K | 0 | 0 | 0 | 0 |
00669R | 0 | 0 | 638 | 8,232,700 |
00670L | 1 | 30,490 | 0 | 0 |
00671R | 0 | 0 | 0 | 0 |
00672L | 1,064 | 17,397,690 | 0 | 0 |
00673R | 0 | 0 | 0 | 0 |
00674R | 0 | 0 | 0 | 0 |
00675L | 0 | 0 | 0 | 0 |
00676R | 0 | 0 | 0 | 0 |
00677U | 29,737 | 188,025,890 | 10,672 | 67,514,650 |
00678 | 0 | 0 | 0 | 0 |
00680L | 0 | 0 | 0 | 0 |
00681R | 0 | 0 | 0 | 0 |
00682U | 0 | 0 | 0 | 0 |
00683L | 0 | 0 | 0 | 0 |
00684R | 0 | 0 | 0 | 0 |
00685L | 0 | 0 | 0 | 0 |
00686R | 0 | 0 | 0 | 0 |
00688L | 0 | 0 | 0 | 0 |
00689R | 0 | 0 | 0 | 0 |
00690 | 0 | 0 | 0 | 0 |
00691R | 0 | 0 | 0 | 0 |
00692 | 0 | 0 | 0 | 0 |
00693U | 0 | 0 | 0 | 0 |
00700 | 0 | 0 | 0 | 0 |
00701 | 0 | 0 | 0 | 0 |
00702 | 0 | 0 | 0 | 0 |
00703 | 0 | 0 | 0 | 0 |
00706L | 0 | 0 | 0 | 0 |
00707R | 0 | 0 | 0 | 0 |
00708L | 2 | 36,850 | 0 | 0 |
00709 | 0 | 0 | 0 | 0 |
00710B | 0 | 0 | 0 | 0 |
00711B | 0 | 0 | 0 | 0 |
00712 | 0 | 0 | 0 | 0 |
00713 | 0 | 0 | 0 | 0 |
00714 | 0 | 0 | 0 | 0 |
00715L | 3 | 66,470 | 0 | 0 |
00716R | 0 | 0 | 0 | 0 |
00717 | 0 | 0 | 0 | 0 |
00728 | 0 | 0 | 0 | 0 |
00729R | 0 | 0 | 0 | 0 |
00730 | 0 | 0 | 0 | 0 |
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