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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 8 new columns ({'cnag_id_1', 'gene_id_2', 'gene_id_1', 'p_value', 'cnag_id_2', 'coevo_gene_id_2', 'coevo_gene_id_1', 'coevolution_coefficient'}) and 3 missing columns ({'query_target', 'rank_score', 'ref_target'}).

This happened while the csv dataset builder was generating data using

hf://datasets/maomlab/CryptoCEN/CoEvo_network.tsv (at revision 216b539c2f8ad59c3202031d9413ee3eac54efb8)

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 2011, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, 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 2302, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              coevo_gene_id_1: string
              coevo_gene_id_2: string
              coevolution_coefficient: double
              p_value: double
              gene_id_1: string
              gene_id_2: string
              cnag_id_1: string
              cnag_id_2: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1257
              to
              {'ref_target': Value(dtype='string', id=None), 'query_target': Value(dtype='string', id=None), 'rank_score': Value(dtype='float64', 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 1316, in compute_config_parquet_and_info_response
                  parquet_operations, partial = stream_convert_to_parquet(
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 909, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, 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 2013, 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 8 new columns ({'cnag_id_1', 'gene_id_2', 'gene_id_1', 'p_value', 'cnag_id_2', 'coevo_gene_id_2', 'coevo_gene_id_1', 'coevolution_coefficient'}) and 3 missing columns ({'query_target', 'rank_score', 'ref_target'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/maomlab/CryptoCEN/CoEvo_network.tsv (at revision 216b539c2f8ad59c3202031d9413ee3eac54efb8)
              
              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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ref_target
string
query_target
string
rank_score
float64
CNAG_00001-t26_1
CNAG_00001-t26_1
0.921313
CNAG_00001-t26_1
CNAG_07497-t26_1
0.919076
CNAG_00001-t26_1
CNAG_07790-t26_1
0.912885
CNAG_00001-t26_1
CNAG_06523-t26_1
0.912885
CNAG_00001-t26_1
CNAG_06938-t26_1
0.909417
CNAG_00001-t26_1
CNAG_07276-t26_1
0.900338
CNAG_00001-t26_1
CNAG_07586-t26_1
0.89779
CNAG_00001-t26_1
CNAG_07395-t26_1
0.897249
CNAG_00001-t26_1
CNAG_07584-t26_1
0.889555
CNAG_00001-t26_1
CNAG_07791-t26_1
0.885788
CNAG_00001-t26_1
CNAG_06522-t26_1
0.885788
CNAG_00001-t26_1
CNAG_07919-t26_1
0.885788
CNAG_00001-t26_1
CNAG_07621-t26_1
0.728656
CNAG_00001-t26_1
CNAG_05376-t26_1
0.027042
CNAG_00001-t26_1
CNAG_07739-t26_1
0.027042
CNAG_00001-t26_1
CNAG_04697-t26_1
0.027042
CNAG_00001-t26_1
CNAG_00730-t26_1
0.014598
CNAG_00001-t26_1
CNAG_06913-t26_1
0.010203
CNAG_00001-t26_1
CNAG_03017-t26_1
0.010203
CNAG_00272-t26_1
CNAG_00272-t26_1
0.999155
CNAG_00272-t26_1
CNAG_02440-t26_1
0.62403
CNAG_00272-t26_1
CNAG_01037-t26_1
0.527353
CNAG_00272-t26_1
CNAG_06150-t26_1
0.494536
CNAG_00272-t26_1
CNAG_04318-t26_1
0.437091
CNAG_00272-t26_1
CNAG_04450-t26_1
0.396718
CNAG_00272-t26_1
CNAG_03381-t26_1
0.310276
CNAG_00528-t26_1
CNAG_00528-t26_1
0.986629
CNAG_00528-t26_1
CNAG_03908-t26_1
0.761782
CNAG_00528-t26_1
CNAG_03908-t26_1
0.717308
CNAG_00528-t26_1
CNAG_01733-t26_1
0.741948
CNAG_00528-t26_1
CNAG_01733-t26_1
0.494536
CNAG_00528-t26_1
CNAG_02153-t26_1
0.736591
CNAG_00528-t26_1
CNAG_02153-t26_1
0.726456
CNAG_00528-t26_1
CNAG_02153-t26_1
0.702685
CNAG_00528-t26_1
CNAG_02153-t26_1
0.652196
CNAG_00528-t26_1
CNAG_01262-t26_1
0.730824
CNAG_00528-t26_1
CNAG_01262-t26_1
0.453606
CNAG_00528-t26_1
CNAG_00775-t26_1
0.730824
CNAG_00528-t26_1
CNAG_01867-t26_1
0.726456
CNAG_00528-t26_1
CNAG_01867-t26_1
0.506525
CNAG_00528-t26_1
CNAG_01867-t26_1
0.15283
CNAG_00528-t26_1
CNAG_01630-t26_1
0.724223
CNAG_00528-t26_1
CNAG_01630-t26_1
0.678883
CNAG_00528-t26_1
CNAG_03584-t26_1
0.719638
CNAG_00528-t26_1
CNAG_00073-t26_1
0.712623
CNAG_00528-t26_1
CNAG_00073-t26_1
0.601817
CNAG_00528-t26_1
CNAG_05795-t26_1
0.707687
CNAG_00528-t26_1
CNAG_05795-t26_1
0.64334
CNAG_00528-t26_1
CNAG_03297-t26_1
0.707687
CNAG_00528-t26_1
CNAG_03297-t26_1
0.589731
CNAG_00528-t26_1
CNAG_03124-t26_1
0.707687
CNAG_00528-t26_1
CNAG_03124-t26_1
0.647787
CNAG_00528-t26_1
CNAG_03124-t26_1
0.494536
CNAG_00528-t26_1
CNAG_03124-t26_1
0.310276
CNAG_00528-t26_1
CNAG_01600-t26_1
0.694264
CNAG_00528-t26_1
CNAG_05428-t26_2
0.697239
CNAG_00528-t26_1
CNAG_05428-t26_2
0.583402
CNAG_00528-t26_1
CNAG_05428-t26_1
0.697239
CNAG_00528-t26_1
CNAG_05428-t26_1
0.583402
CNAG_00528-t26_1
CNAG_02982-t26_1
0.694264
CNAG_00528-t26_1
CNAG_02982-t26_1
0.638463
CNAG_00528-t26_1
CNAG_02982-t26_1
0.453606
CNAG_00528-t26_1
CNAG_02982-t26_1
0.192272
CNAG_00528-t26_1
CNAG_01439-t26_1
0.684891
CNAG_00528-t26_1
CNAG_01439-t26_1
0.613264
CNAG_00528-t26_1
CNAG_04074-t26_1
0.681975
CNAG_00528-t26_1
CNAG_04074-t26_1
0.396718
CNAG_00528-t26_1
CNAG_06107-t26_1
0.678883
CNAG_00528-t26_1
CNAG_06107-t26_1
0.607725
CNAG_00528-t26_1
CNAG_06107-t26_1
0.601817
CNAG_00528-t26_1
CNAG_01432-t26_2
0.67534
CNAG_00528-t26_1
CNAG_01432-t26_2
0.562468
CNAG_00528-t26_1
CNAG_01432-t26_2
0.55465
CNAG_00528-t26_1
CNAG_01432-t26_2
0.453606
CNAG_00528-t26_1
CNAG_05465-t26_1
0.671665
CNAG_00528-t26_1
CNAG_05465-t26_1
0.517311
CNAG_00528-t26_1
CNAG_05465-t26_1
0.273092
CNAG_00528-t26_1
CNAG_05219-t26_1
0.671665
CNAG_00528-t26_1
CNAG_01432-t26_1
0.67534
CNAG_00528-t26_1
CNAG_01432-t26_1
0.569662
CNAG_00528-t26_1
CNAG_01432-t26_1
0.55465
CNAG_00528-t26_1
CNAG_01432-t26_1
0.546101
CNAG_00528-t26_1
CNAG_00516-t26_1
0.667952
CNAG_00528-t26_1
CNAG_07440-t26_1
0.660355
CNAG_00528-t26_1
CNAG_07440-t26_1
0.536894
CNAG_00528-t26_1
CNAG_07440-t26_1
0.15283
CNAG_00528-t26_1
CNAG_07756-t26_1
0.660355
CNAG_00528-t26_1
CNAG_01561-t26_1
0.656422
CNAG_00528-t26_1
CNAG_01561-t26_1
0.652196
CNAG_00528-t26_1
CNAG_01561-t26_1
0.15283
CNAG_00528-t26_1
CNAG_05294-t26_1
0.656422
CNAG_00528-t26_1
CNAG_05294-t26_1
0.618811
CNAG_00528-t26_1
CNAG_00693-t26_2
0.652196
CNAG_00528-t26_1
CNAG_00693-t26_2
0.546101
CNAG_00528-t26_1
CNAG_00693-t26_1
0.652196
CNAG_00528-t26_1
CNAG_00693-t26_1
0.546101
CNAG_00528-t26_1
CNAG_03554-t26_1
0.633385
CNAG_00528-t26_1
CNAG_03554-t26_1
0.437091
CNAG_00528-t26_1
CNAG_05101-t26_1
0.633385
CNAG_00528-t26_1
CNAG_05101-t26_1
0.506525
End of preview.