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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)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.
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.