Datasets:

neurofusion

/

eeg-restingstate

like 5

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 41 new columns ({'C4_theta', 'PO4_gamma', 'C3_beta', 'PO3_beta', 'unixTimestamp', 'C3_theta', 'CP3_delta', 'PO3_delta', 'F5_theta', 'C4_alpha', 'CP4_delta', 'CP3_beta', 'F5_delta', 'CP4_beta', 'C3_alpha', 'F5_gamma', 'F6_theta', 'CP3_theta', 'F6_alpha', 'F6_delta', 'PO4_theta', 'F6_beta', 'PO4_delta', 'CP3_alpha', 'PO4_alpha', 'PO3_theta', 'F5_beta', 'PO4_beta', 'C4_delta', 'PO3_alpha', 'PO3_gamma', 'CP4_alpha', 'C4_beta', 'F5_alpha', 'C3_gamma', 'C4_gamma', 'C3_delta', 'CP4_gamma', 'CP4_theta', 'F6_gamma', 'CP3_gamma'}) and 4 missing columns ({'probability', 'metric', 'timestamp', 'label'}).

This happened while the json dataset builder was generating data using

hf://datasets/neurofusion/eeg-restingstate/powerByBand/powerByBand_1674239692.json (at revision fe43ac768e0e0df525c5925edb9c27c186730b3b)

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
              C4_theta: double
              PO4_gamma: double
              C3_beta: double
              PO3_beta: double
              unixTimestamp: int64
              C3_theta: double
              CP3_delta: double
              PO3_delta: double
              F5_theta: double
              C4_alpha: double
              CP4_delta: double
              CP3_beta: double
              F5_delta: double
              CP4_beta: double
              C3_alpha: double
              F5_gamma: double
              F6_theta: double
              CP3_theta: double
              F6_alpha: double
              F6_delta: double
              PO4_theta: double
              F6_beta: double
              PO4_delta: double
              CP3_alpha: double
              PO4_alpha: double
              PO3_theta: double
              F5_beta: double
              PO4_beta: double
              C4_delta: double
              PO3_alpha: double
              PO3_gamma: double
              CP4_alpha: double
              C4_beta: double
              F5_alpha: double
              C3_gamma: double
              C4_gamma: double
              C3_delta: double
              CP4_gamma: double
              CP4_theta: double
              F6_gamma: double
              CP3_gamma: double
              to
              {'probability': Value(dtype='float64', id=None), 'metric': Value(dtype='string', id=None), 'timestamp': Value(dtype='int64', id=None), 'label': Value(dtype='string', 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 1321, 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 935, 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 41 new columns ({'C4_theta', 'PO4_gamma', 'C3_beta', 'PO3_beta', 'unixTimestamp', 'C3_theta', 'CP3_delta', 'PO3_delta', 'F5_theta', 'C4_alpha', 'CP4_delta', 'CP3_beta', 'F5_delta', 'CP4_beta', 'C3_alpha', 'F5_gamma', 'F6_theta', 'CP3_theta', 'F6_alpha', 'F6_delta', 'PO4_theta', 'F6_beta', 'PO4_delta', 'CP3_alpha', 'PO4_alpha', 'PO3_theta', 'F5_beta', 'PO4_beta', 'C4_delta', 'PO3_alpha', 'PO3_gamma', 'CP4_alpha', 'C4_beta', 'F5_alpha', 'C3_gamma', 'C4_gamma', 'C3_delta', 'CP4_gamma', 'CP4_theta', 'F6_gamma', 'CP3_gamma'}) and 4 missing columns ({'probability', 'metric', 'timestamp', 'label'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/neurofusion/eeg-restingstate/powerByBand/powerByBand_1674239692.json (at revision fe43ac768e0e0df525c5925edb9c27c186730b3b)
              
              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)