Datasets:

Nerlnet
/

skab

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train

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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 19 new columns ({'0.0.2', '0.0.9', '0.0.7', '0.0.4', '0.0.15', '0.0.1', '0.0.3', '0.0.16', '0.0.5', '0.0.12', '0.0.8', '0.0.6', '0.0.14', '0.0.13', '0.0.18', '0.0.10', '0.0.19', '0.0.11', '0.0.17'})

This happened while the csv dataset builder was generating data using

hf://datasets/Nerlnet/skab/skab_full_bins.csv (at revision 7c38a93ffed4543bab6ea4747d5cf65e8c1aadd1)

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
              0.017140010486638584: double
              0.0: double
              0.0.1: double
              0.0.2: double
              0.03471354026670797: double
              0.0.3: double
              0.0.4: double
              0.0.5: double
              0.3609619356369898: double
              0.0.6: double
              0.0.7: double
              0.0.8: double
              0.44444440679688957: double
              0.0.9: double
              0.0.10: double
              0.1618319386145496: double
              0.0.11: double
              0.0.12: double
              0.0.13: double
              0.0.14: double
              0.2918063576205437: double
              0.0.15: double
              0.0.16: double
              0.5189446683766948: double
              0.23618944160346497: double
              0.0.17: double
              0.0.18: double
              0.0.19: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 3605
              to
              {'0.017140010486638584': Value(dtype='float64', id=None), '0.03471354026670797': Value(dtype='float64', id=None), '0.3609619356369898': Value(dtype='float64', id=None), '0.44444440679688957': Value(dtype='float64', id=None), '0.1618319386145496': Value(dtype='float64', id=None), '0.2918063576205437': Value(dtype='float64', id=None), '0.5189446683766948': Value(dtype='float64', id=None), '0.23618944160346497': Value(dtype='float64', id=None), '0.0': 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 1577, 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 1191, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, 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 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 19 new columns ({'0.0.2', '0.0.9', '0.0.7', '0.0.4', '0.0.15', '0.0.1', '0.0.3', '0.0.16', '0.0.5', '0.0.12', '0.0.8', '0.0.6', '0.0.14', '0.0.13', '0.0.18', '0.0.10', '0.0.19', '0.0.11', '0.0.17'})
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/Nerlnet/skab/skab_full_bins.csv (at revision 7c38a93ffed4543bab6ea4747d5cf65e8c1aadd1)
              
              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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0.017140010486638584 float64	0.03471354026670797 float64	0.3609619356369898 float64	0.44444440679688957 float64	0.1618319386145496 float64	0.2918063576205437 float64	0.5189446683766948 float64	0.23618944160346497 float64	0.0 float64
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0.091608	0.152413	0.53094	0.444444	0.724641	0.007153	0.54498	0.551818	1
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0.015453	0.031543	0.200735	0.444444	0.235061	0.303058	0.586149	0.236213	0
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0.301787	0.341201	0.660473	0.555555	0.6727	0.853127	0.486534	0.982168	1
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0.091798	0.145249	0.459607	0.444444	0.7306	0.006837	0.796079	0.559025	1
0.284971	0.325745	0.601774	0.444444	0.780292	0.643599	0.91299	0.942253	0
0.016012	0.031335	0.248366	0.555555	0.210645	0.305568	0.300495	0.221202	1
0.327666	0.351428	0.537296	0.444444	0.678051	0.613856	0.517387	0.929559	0
0.30677	0.333208	0.565413	0.555555	0.70493	0.623659	0.492488	0.944612	0
0.276041	0.313761	0.74194	0.333334	0.780506	0.65292	0.359161	0.947361	0
0.309547	0.341547	0.648982	0.444444	0.648872	0.693572	0.50731	0.939925	0
0.016405	0.032638	0.362584	0.333334	0.151291	0.291973	0.692213	0.236189	0

End of preview.