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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 ({'best_epoch', 'nn_training_time_s', 'n_train_windows'}) and 7 missing columns ({'source_training_time_s', 'target_n_train_windows', 'source_subjects', 'source_best_epoch', 'target_training_time_s', 'source_n_train_windows', 'target_best_epoch'}).

This happened while the csv dataset builder was generating data using

hf://datasets/mirom11/eeg-veritas-results/BNCI2014_001/eegnet/overall/training_times.csv (at revision 0747bb9ed64756994f67fcf95dc935bf606077eb), ['hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/eegnet/LP/sub-01/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/eegnet/LP/sub-02/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/eegnet/LP/sub-03/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/eegnet/LP/sub-04/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/eegnet/LP/sub-05/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/eegnet/LP/sub-06/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/eegnet/LP/sub-07/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/eegnet/LP/sub-08/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/eegnet/LP/sub-09/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/eegnet/LP/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/eegnet/overall/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/eegnet/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/fbcsp_lda/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/psd_gaussian/overall/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/psd_gaussian/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/riemann_fgmdm/overall/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/eegnet/LP/sub-01/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/eegnet/LP/sub-02/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/eegnet/LP/sub-03/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/eegnet/LP/sub-04/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/eegnet/LP/sub-05/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/eegnet/LP/sub-06/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/eegnet/LP/sub-07/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/eegnet/LP/sub-08/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/eegnet/LP/sub-09/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/eegnet/LP/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/eegnet/overall/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/eegnet/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/fbcsp_lda/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/psd_gaussian/overall/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/psd_gaussian/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/riemann_fgmdm/overall/training_times.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/python3.14/site-packages/datasets/builder.py", line 1837, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/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/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              subject: string
              window_s: double
              update_hz: double
              mode: string
              seed: int64
              n_train_windows: int64
              best_epoch: int64
              nn_training_time_s: double
              total_training_time_s: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1365
              to
              {'subject': Value('int64'), 'source_subjects': Value('string'), 'window_s': Value('float64'), 'update_hz': Value('float64'), 'mode': Value('string'), 'seed': Value('int64'), 'source_n_train_windows': Value('int64'), 'source_best_epoch': Value('int64'), 'source_training_time_s': Value('float64'), 'target_n_train_windows': Value('int64'), 'target_best_epoch': Value('int64'), 'target_training_time_s': Value('float64'), 'total_training_time_s': 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 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1839, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
                  ...<4 lines>...
                  )
              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 ({'best_epoch', 'nn_training_time_s', 'n_train_windows'}) and 7 missing columns ({'source_training_time_s', 'target_n_train_windows', 'source_subjects', 'source_best_epoch', 'target_training_time_s', 'source_n_train_windows', 'target_best_epoch'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/mirom11/eeg-veritas-results/BNCI2014_001/eegnet/overall/training_times.csv (at revision 0747bb9ed64756994f67fcf95dc935bf606077eb), ['hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/eegnet/LP/sub-01/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/eegnet/LP/sub-02/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/eegnet/LP/sub-03/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/eegnet/LP/sub-04/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/eegnet/LP/sub-05/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/eegnet/LP/sub-06/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/eegnet/LP/sub-07/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/eegnet/LP/sub-08/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/eegnet/LP/sub-09/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/eegnet/LP/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/eegnet/overall/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/eegnet/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/fbcsp_lda/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/psd_gaussian/overall/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/psd_gaussian/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/riemann_fgmdm/overall/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/eegnet/LP/sub-01/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/eegnet/LP/sub-02/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/eegnet/LP/sub-03/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/eegnet/LP/sub-04/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/eegnet/LP/sub-05/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/eegnet/LP/sub-06/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/eegnet/LP/sub-07/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/eegnet/LP/sub-08/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/eegnet/LP/sub-09/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/eegnet/LP/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/eegnet/overall/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/eegnet/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/fbcsp_lda/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/psd_gaussian/overall/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/psd_gaussian/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/riemann_fgmdm/overall/training_times.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)

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subject
int64
source_subjects
string
window_s
float64
update_hz
float64
mode
string
seed
int64
source_n_train_windows
int64
source_best_epoch
int64
source_training_time_s
float64
target_n_train_windows
int64
target_best_epoch
int64
target_training_time_s
float64
total_training_time_s
float64
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