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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 ({'train_train_accuracy', 'train_n_designs', 'train_train_auroc', 'fold', 'eval_n_designs', 'eval_accuracy', 'cell_name', 'eval_auroc'}) and 13 missing columns ({'train_n_designs_mean', 'train_n_designs_std', 'eval_n_designs_mean', 'eval_n_designs_std', 'train_train_auroc_mean', 'eval_accuracy_std', 'eval_accuracy_mean', 'train_train_auroc_std', 'n_folds', 'train_train_accuracy_std', 'eval_auroc_std', 'train_train_accuracy_mean', 'eval_auroc_mean'}).

This happened while the csv dataset builder was generating data using

hf://datasets/michaelwaves/saeber-virulence-probes-random/probes_per_fold.csv (at revision 76b12fdf33e7cd71e4971b8583e22838a306d92e), [/tmp/hf-datasets-cache/medium/datasets/65645828274359-config-parquet-and-info-michaelwaves-saeber-virul-d470facc/hub/datasets--michaelwaves--saeber-virulence-probes-random/snapshots/76b12fdf33e7cd71e4971b8583e22838a306d92e/probes.csv (origin=hf://datasets/michaelwaves/saeber-virulence-probes-random@76b12fdf33e7cd71e4971b8583e22838a306d92e/probes.csv), /tmp/hf-datasets-cache/medium/datasets/65645828274359-config-parquet-and-info-michaelwaves-saeber-virul-d470facc/hub/datasets--michaelwaves--saeber-virulence-probes-random/snapshots/76b12fdf33e7cd71e4971b8583e22838a306d92e/probes_per_fold.csv (origin=hf://datasets/michaelwaves/saeber-virulence-probes-random@76b12fdf33e7cd71e4971b8583e22838a306d92e/probes_per_fold.csv)]

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 1800, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2281, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2227, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              dataset: string
              model: string
              hook: string
              extractor: string
              fold: int64
              cell_name: string
              train_train_accuracy: double
              train_train_auroc: double
              train_n_designs: int64
              eval_accuracy: double
              eval_auroc: double
              eval_n_designs: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1709
              to
              {'dataset': Value('string'), 'model': Value('string'), 'hook': Value('string'), 'extractor': Value('string'), 'n_folds': Value('int64'), 'eval_accuracy_mean': Value('float64'), 'eval_accuracy_std': Value('float64'), 'eval_auroc_mean': Value('float64'), 'eval_auroc_std': Value('float64'), 'eval_n_designs_mean': Value('float64'), 'eval_n_designs_std': Value('float64'), 'train_n_designs_mean': Value('float64'), 'train_n_designs_std': Value('float64'), 'train_train_accuracy_mean': Value('float64'), 'train_train_accuracy_std': Value('float64'), 'train_train_auroc_mean': Value('float64'), 'train_train_auroc_std': Value('float64')}
              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 1347, 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 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 882, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, 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 1802, 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 ({'train_train_accuracy', 'train_n_designs', 'train_train_auroc', 'fold', 'eval_n_designs', 'eval_accuracy', 'cell_name', 'eval_auroc'}) and 13 missing columns ({'train_n_designs_mean', 'train_n_designs_std', 'eval_n_designs_mean', 'eval_n_designs_std', 'train_train_auroc_mean', 'eval_accuracy_std', 'eval_accuracy_mean', 'train_train_auroc_std', 'n_folds', 'train_train_accuracy_std', 'eval_auroc_std', 'train_train_accuracy_mean', 'eval_auroc_mean'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/michaelwaves/saeber-virulence-probes-random/probes_per_fold.csv (at revision 76b12fdf33e7cd71e4971b8583e22838a306d92e), [/tmp/hf-datasets-cache/medium/datasets/65645828274359-config-parquet-and-info-michaelwaves-saeber-virul-d470facc/hub/datasets--michaelwaves--saeber-virulence-probes-random/snapshots/76b12fdf33e7cd71e4971b8583e22838a306d92e/probes.csv (origin=hf://datasets/michaelwaves/saeber-virulence-probes-random@76b12fdf33e7cd71e4971b8583e22838a306d92e/probes.csv), /tmp/hf-datasets-cache/medium/datasets/65645828274359-config-parquet-and-info-michaelwaves-saeber-virul-d470facc/hub/datasets--michaelwaves--saeber-virulence-probes-random/snapshots/76b12fdf33e7cd71e4971b8583e22838a306d92e/probes_per_fold.csv (origin=hf://datasets/michaelwaves/saeber-virulence-probes-random@76b12fdf33e7cd71e4971b8583e22838a306d92e/probes_per_fold.csv)]
              
              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.

dataset
string
model
string
hook
string
extractor
string
n_folds
int64
eval_accuracy_mean
float64
eval_accuracy_std
float64
eval_auroc_mean
float64
eval_auroc_std
float64
eval_n_designs_mean
float64
eval_n_designs_std
float64
train_n_designs_mean
float64
train_n_designs_std
float64
train_train_accuracy_mean
float64
train_train_accuracy_std
float64
train_train_auroc_mean
float64
train_train_auroc_std
float64
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rf3_safeprotein
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