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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 1 new columns ({' Time       q1       q2       q3       q4       q5       q6       g-value  error    velocity'}) and 12 missing columns ({'kind', 'duration', 'timemeg', 'timesentence', 'timechapter', 'phonemeidx', 'sentenceidx', 'idx', 'wordidx', 'wavile', 'segment', 'timeds'}).

This happened while the csv dataset builder was generating data using

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'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock1/derivatives/events/sub-0_ses-3_task-Sherlock1_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock1/derivatives/events/sub-0_ses-4_task-Sherlock1_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock1/derivatives/events/sub-0_ses-5_task-Sherlock1_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock1/derivatives/events/sub-0_ses-6_task-Sherlock1_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock1/derivatives/events/sub-0_ses-7_task-Sherlock1_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock1/derivatives/events/sub-0_ses-8_task-Sherlock1_run-1_events.tsv', 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'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock6/sub-0/ses-7/meg/sub-0_ses-7_task-Sherlock6_run-1_channels.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock6/sub-0/ses-7/meg/sub-0_ses-7_task-Sherlock6_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock6/sub-0/ses-7/sub-0_ses-7_scans.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock6/sub-0/ses-8/meg/sub-0_ses-8_task-Sherlock6_run-1_channels.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock6/sub-0/ses-8/meg/sub-0_ses-8_task-Sherlock6_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock6/sub-0/ses-8/sub-0_ses-8_scans.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock6/sub-0/ses-9/meg/sub-0_ses-9_task-Sherlock6_run-1_channels.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock6/sub-0/ses-9/meg/sub-0_ses-9_task-Sherlock6_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock6/sub-0/ses-9/sub-0_ses-9_scans.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/derivatives/events/sub-0_ses-10_task-Sherlock7_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/derivatives/events/sub-0_ses-11_task-Sherlock7_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/derivatives/events/sub-0_ses-12_task-Sherlock7_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/derivatives/events/sub-0_ses-13_task-Sherlock7_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/derivatives/events/sub-0_ses-14_task-Sherlock7_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/derivatives/events/sub-0_ses-1_task-Sherlock7_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/derivatives/events/sub-0_ses-2_task-Sherlock7_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/derivatives/events/sub-0_ses-3_task-Sherlock7_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/derivatives/events/sub-0_ses-4_task-Sherlock7_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/derivatives/events/sub-0_ses-5_task-Sherlock7_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/derivatives/events/sub-0_ses-6_task-Sherlock7_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/derivatives/events/sub-0_ses-7_task-Sherlock7_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/derivatives/events/sub-0_ses-8_task-Sherlock7_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/derivatives/events/sub-0_ses-9_task-Sherlock7_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/participants.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-1/meg/sub-0_ses-1_task-Sherlock7_run-1_channels.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-1/meg/sub-0_ses-1_task-Sherlock7_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-1/sub-0_ses-1_scans.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-10/meg/sub-0_ses-10_task-Sherlock7_run-1_channels.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-10/meg/sub-0_ses-10_task-Sherlock7_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-10/sub-0_ses-10_scans.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-11/meg/sub-0_ses-11_task-Sherlock7_acq-long_run-3_channels.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-11/meg/sub-0_ses-11_task-Sherlock7_run-1_channels.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-11/meg/sub-0_ses-11_task-Sherlock7_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-11/sub-0_ses-11_scans.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-12/meg/sub-0_ses-12_task-Sherlock7_run-1_channels.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-12/meg/sub-0_ses-12_task-Sherlock7_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-12/sub-0_ses-12_scans.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-13/meg/sub-0_ses-13_task-Sherlock7_run-1_channels.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-13/meg/sub-0_ses-13_task-Sherlock7_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-13/sub-0_ses-13_scans.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-14/meg/sub-0_ses-14_task-Sherlock7_run-1_channels.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-14/meg/sub-0_ses-14_task-Sherlock7_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-14/sub-0_ses-14_scans.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-2/meg/sub-0_ses-2_task-Sherlock7_run-1_channels.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-2/meg/sub-0_ses-2_task-Sherlock7_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-2/sub-0_ses-2_scans.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-3/meg/sub-0_ses-3_task-Sherlock7_run-1_channels.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-3/meg/sub-0_ses-3_task-Sherlock7_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-3/sub-0_ses-3_scans.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-4/meg/sub-0_ses-4_task-Sherlock7_run-1_channels.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-4/meg/sub-0_ses-4_task-Sherlock7_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-4/sub-0_ses-4_scans.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-5/meg/sub-0_ses-5_task-Sherlock7_run-1_channels.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-5/meg/sub-0_ses-5_task-Sherlock7_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-5/sub-0_ses-5_scans.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-6/meg/sub-0_ses-6_task-Sherlock7_run-1_channels.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-6/meg/sub-0_ses-6_task-Sherlock7_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-6/sub-0_ses-6_scans.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-7/meg/sub-0_ses-7_task-Sherlock7_run-1_channels.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-7/meg/sub-0_ses-7_task-Sherlock7_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-7/sub-0_ses-7_scans.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-8/meg/sub-0_ses-8_task-Sherlock7_run-1_channels.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-8/meg/sub-0_ses-8_task-Sherlock7_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-8/sub-0_ses-8_scans.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-9/meg/sub-0_ses-9_task-Sherlock7_run-1_channels.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-9/meg/sub-0_ses-9_task-Sherlock7_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-9/sub-0_ses-9_scans.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/metadata/channels.tsv']

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 1893, 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 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
               Time       q1       q2       q3       q4       q5       q6       g-value  error    velocity: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 545
              to
              {'idx': Value('int64'), 'wavile': Value('string'), 'kind': Value('string'), 'segment': Value('string'), 'sentenceidx': Value('float64'), 'wordidx': Value('float64'), 'phonemeidx': Value('float64'), 'timemeg': Value('float64'), 'timeds': Value('float64'), 'timechapter': Value('float64'), 'timesentence': Value('float64'), 'duration': 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 1342, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 907, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1739, 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 1895, 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 1 new columns ({' Time       q1       q2       q3       q4       q5       q6       g-value  error    velocity'}) and 12 missing columns ({'kind', 'duration', 'timemeg', 'timesentence', 'timechapter', 'phonemeidx', 'sentenceidx', 'idx', 'wordidx', 'wavile', 'segment', 'timeds'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/pnpl/LibriBrain/Sherlock1/derivatives/preproc/headpos/sub-0_ses-10_task-Sherlock1_run-1.csv (at revision e3da0a46f36669afd46551501140307177e3169e), ['hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock1/derivatives/events/sub-0_ses-10_task-Sherlock1_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock1/derivatives/events/sub-0_ses-11_task-Sherlock1_run-2_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock1/derivatives/events/sub-0_ses-12_task-Sherlock1_run-2_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock1/derivatives/events/sub-0_ses-1_task-Sherlock1_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock1/derivatives/events/sub-0_ses-2_task-Sherlock1_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock1/derivatives/events/sub-0_ses-3_task-Sherlock1_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock1/derivatives/events/sub-0_ses-4_task-Sherlock1_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock1/derivatives/events/sub-0_ses-5_task-Sherlock1_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock1/derivatives/events/sub-0_ses-6_task-Sherlock1_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock1/derivatives/events/sub-0_ses-7_task-Sherlock1_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock1/derivatives/events/sub-0_ses-8_task-Sherlock1_run-1_events.tsv', 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'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock6/sub-0/ses-9/meg/sub-0_ses-9_task-Sherlock6_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock6/sub-0/ses-9/sub-0_ses-9_scans.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/derivatives/events/sub-0_ses-10_task-Sherlock7_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/derivatives/events/sub-0_ses-11_task-Sherlock7_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/derivatives/events/sub-0_ses-12_task-Sherlock7_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/derivatives/events/sub-0_ses-13_task-Sherlock7_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/derivatives/events/sub-0_ses-14_task-Sherlock7_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/derivatives/events/sub-0_ses-1_task-Sherlock7_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/derivatives/events/sub-0_ses-2_task-Sherlock7_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/derivatives/events/sub-0_ses-3_task-Sherlock7_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/derivatives/events/sub-0_ses-4_task-Sherlock7_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/derivatives/events/sub-0_ses-5_task-Sherlock7_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/derivatives/events/sub-0_ses-6_task-Sherlock7_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/derivatives/events/sub-0_ses-7_task-Sherlock7_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/derivatives/events/sub-0_ses-8_task-Sherlock7_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/derivatives/events/sub-0_ses-9_task-Sherlock7_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/participants.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-1/meg/sub-0_ses-1_task-Sherlock7_run-1_channels.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-1/meg/sub-0_ses-1_task-Sherlock7_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-1/sub-0_ses-1_scans.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-10/meg/sub-0_ses-10_task-Sherlock7_run-1_channels.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-10/meg/sub-0_ses-10_task-Sherlock7_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-10/sub-0_ses-10_scans.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-11/meg/sub-0_ses-11_task-Sherlock7_acq-long_run-3_channels.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-11/meg/sub-0_ses-11_task-Sherlock7_run-1_channels.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-11/meg/sub-0_ses-11_task-Sherlock7_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-11/sub-0_ses-11_scans.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-12/meg/sub-0_ses-12_task-Sherlock7_run-1_channels.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-12/meg/sub-0_ses-12_task-Sherlock7_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-12/sub-0_ses-12_scans.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-13/meg/sub-0_ses-13_task-Sherlock7_run-1_channels.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-13/meg/sub-0_ses-13_task-Sherlock7_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-13/sub-0_ses-13_scans.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-14/meg/sub-0_ses-14_task-Sherlock7_run-1_channels.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-14/meg/sub-0_ses-14_task-Sherlock7_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-14/sub-0_ses-14_scans.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-2/meg/sub-0_ses-2_task-Sherlock7_run-1_channels.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-2/meg/sub-0_ses-2_task-Sherlock7_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-2/sub-0_ses-2_scans.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-3/meg/sub-0_ses-3_task-Sherlock7_run-1_channels.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-3/meg/sub-0_ses-3_task-Sherlock7_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-3/sub-0_ses-3_scans.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-4/meg/sub-0_ses-4_task-Sherlock7_run-1_channels.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-4/meg/sub-0_ses-4_task-Sherlock7_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-4/sub-0_ses-4_scans.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-5/meg/sub-0_ses-5_task-Sherlock7_run-1_channels.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-5/meg/sub-0_ses-5_task-Sherlock7_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-5/sub-0_ses-5_scans.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-6/meg/sub-0_ses-6_task-Sherlock7_run-1_channels.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-6/meg/sub-0_ses-6_task-Sherlock7_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-6/sub-0_ses-6_scans.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-7/meg/sub-0_ses-7_task-Sherlock7_run-1_channels.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-7/meg/sub-0_ses-7_task-Sherlock7_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-7/sub-0_ses-7_scans.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-8/meg/sub-0_ses-8_task-Sherlock7_run-1_channels.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-8/meg/sub-0_ses-8_task-Sherlock7_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-8/sub-0_ses-8_scans.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-9/meg/sub-0_ses-9_task-Sherlock7_run-1_channels.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-9/meg/sub-0_ses-9_task-Sherlock7_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/Sherlock7/sub-0/ses-9/sub-0_ses-9_scans.tsv', 'hf://datasets/pnpl/LibriBrain@e3da0a46f36669afd46551501140307177e3169e/metadata/channels.tsv']
              
              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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idx int64	wavile string	kind string	segment string	sentenceidx float64	wordidx float64	phonemeidx float64	timemeg float64	timeds float64	timechapter float64	timesentence float64	duration float64
1	segments/	silence	null	null	null	null	18.776	18.776	0	null	0.692
2	segments/	word	Book	0	0	null	19.56	19.56	0.772	0.08	0.23
3	segments/	phoneme	b_B	0	0	0	19.56	19.56	0.772	0.08	0.08
4	segments/	phoneme	uh_I	0	0	1	19.64	19.64	0.852	0.16	0.07
5	segments/	phoneme	k_E	0	0	2	19.71	19.712	0.922	0.23	0.08
6	segments/	word	two	0	1	null	19.79	19.788	1.002	0.31	0.43
7	segments/	phoneme	t_B	0	1	0	19.79	19.788	1.002	0.31	0.1
8	segments/	phoneme	uw_E	0	1	1	19.89	19.888	1.102	0.41	0.33
9	segments/	word	chapter	0	2	null	20.28	20.28	1.492	0.8	0.33
10	segments/	phoneme	ch_B	0	2	0	20.28	20.28	1.492	0.8	0.1
11	segments/	phoneme	ae_I	0	2	1	20.38	20.38	1.592	0.9	0.05
12	segments/	phoneme	p_I	0	2	2	20.43	20.428	1.642	0.95	0.06
13	segments/	phoneme	t_I	0	2	3	20.49	20.492	1.702	1.01	0.07
14	segments/	phoneme	er_E	0	2	4	20.56	20.56	1.772	1.08	0.05
15	segments/	word	three	0	3	null	20.61	20.608	1.822	1.13	0.44
16	segments/	phoneme	th_B	0	3	0	20.61	20.608	1.822	1.13	0.12
17	segments/	phoneme	r_I	0	3	1	20.73	20.728	1.942	1.25	0.12
18	segments/	phoneme	iy_E	0	3	2	20.85	20.852	2.062	1.37	0.2
19	segments/	word	of	0	4	null	21.07	21.068	2.282	1.59	0.13
20	segments/	phoneme	ah_B	0	4	0	21.07	21.068	2.282	1.59	0.08
21	segments/	phoneme	v_E	0	4	1	21.15	21.152	2.362	1.67	0.05
22	segments/	word	a	0	5	null	21.2	21.2	2.412	1.72	0.07
23	segments/	phoneme	ah_S	0	5	0	21.2	21.2	2.412	1.72	0.07
24	segments/	word	Study	0	6	null	21.27	21.268	2.482	1.79	0.3
25	segments/	phoneme	s_B	0	6	0	21.27	21.268	2.482	1.79	0.05
26	segments/	phoneme	t_I	0	6	1	21.32	21.32	2.532	1.84	0.07
27	segments/	phoneme	ah_I	0	6	2	21.39	21.388	2.602	1.91	0.07
28	segments/	phoneme	d_I	0	6	3	21.46	21.46	2.672	1.98	0.04
29	segments/	phoneme	iy_E	0	6	4	21.5	21.5	2.712	2.02	0.07
30	segments/	word	in	0	7	null	21.57	21.568	2.782	2.09	0.11
31	segments/	phoneme	ih_B	0	7	0	21.57	21.568	2.782	2.09	0.04
32	segments/	phoneme	n_E	0	7	1	21.61	21.608	2.822	2.13	0.07
33	segments/	word	Scarlet	0	8	null	21.68	21.68	2.892	2.2	0.58
34	segments/	phoneme	s_B	0	8	0	21.68	21.68	2.892	2.2	0.08
35	segments/	phoneme	k_I	0	8	1	21.76	21.76	2.972	2.28	0.08
36	segments/	phoneme	aa_I	0	8	2	21.84	21.84	3.052	2.36	0.05
37	segments/	phoneme	r_I	0	8	3	21.89	21.888	3.102	2.41	0.04
38	segments/	phoneme	l_I	0	8	4	21.93	21.928	3.142	2.45	0.06
39	segments/	phoneme	ah_I	0	8	5	21.99	21.992	3.202	2.51	0.07
40	segments/	phoneme	t_E	0	8	6	22.06	22.06	3.272	2.58	0.2
41	segments/	word	by	0	9	null	22.33	22.332	3.542	2.85	0.31
42	segments/	phoneme	b_B	0	9	0	22.33	22.332	3.542	2.85	0.13
43	segments/	phoneme	ay_E	0	9	1	22.46	22.46	3.672	2.98	0.18
44	segments/	word	Sir	0	10	null	22.65	22.648	3.862	3.17	0.19
45	segments/	phoneme	s_B	0	10	0	22.65	22.648	3.862	3.17	0.1
46	segments/	phoneme	er_E	0	10	1	22.75	22.748	3.962	3.27	0.09
47	segments/	word	Arthur	0	11	null	22.84	22.84	4.052	3.36	0.31
48	segments/	phoneme	aa_B	0	11	0	22.84	22.84	4.052	3.36	0.13
49	segments/	phoneme	r_I	0	11	1	22.97	22.968	4.182	3.49	0.01
50	segments/	phoneme	th_I	0	11	2	22.98	22.98	4.192	3.5	0.11
51	segments/	phoneme	er_E	0	11	3	23.09	23.088	4.302	3.61	0.06
52	segments/	word	Conan	0	12	null	23.15	23.148	4.362	3.67	0.34
53	segments/	phoneme	k_B	0	12	0	23.15	23.148	4.362	3.67	0.09
54	segments/	phoneme	ow_I	0	12	1	23.24	23.24	4.452	3.76	0.12
55	segments/	phoneme	n_I	0	12	2	23.36	23.36	4.572	3.88	0.01
56	segments/	phoneme	ah_I	0	12	3	23.37	23.372	4.582	3.89	0.04
57	segments/	phoneme	n_E	0	12	4	23.41	23.408	4.622	3.93	0.08
58	segments/	word	Doyle	0	13	null	23.49	23.492	4.702	4.01	0.21
59	segments/	phoneme	d_B	0	13	0	23.49	23.492	4.702	4.01	0.08
60	segments/	phoneme	oy_I	0	13	1	23.57	23.568	4.782	4.09	0.12
61	segments/	phoneme	l_E	0	13	2	23.69	23.692	4.902	4.21	0.01
62	segments/	silence	null	null	null	null	23.868	23.868	5.068	null	0.424
63	segments/	word	This	1	0	null	24.37	24.372	5.562	0.07	0.19
64	segments/	phoneme	dh_B	1	0	0	24.37	24.372	5.562	0.07	0.06
65	segments/	phoneme	ih_I	1	0	1	24.43	24.428	5.622	0.13	0.06
66	segments/	phoneme	s_E	1	0	2	24.49	24.492	5.682	0.19	0.07
67	segments/	word	LibriVox	1	1	null	24.57	24.568	5.762	0.27	0.48
68	segments/	phoneme	oov_S	1	1	0	24.57	24.568	5.762	0.27	0.48
69	segments/	word	recording	1	2	null	25.05	25.052	6.242	0.75	0.54
70	segments/	phoneme	r_B	1	2	0	25.05	25.052	6.242	0.75	0.02
71	segments/	phoneme	ih_I	1	2	1	25.07	25.068	6.262	0.77	0.07
72	segments/	phoneme	k_I	1	2	2	25.14	25.14	6.332	0.84	0.09
73	segments/	phoneme	ao_I	1	2	3	25.23	25.228	6.422	0.93	0.07
74	segments/	phoneme	r_I	1	2	4	25.3	25.3	6.492	1	0.02
75	segments/	phoneme	d_I	1	2	5	25.32	25.32	6.512	1.02	0.05
76	segments/	phoneme	ih_I	1	2	6	25.37	25.372	6.562	1.07	0.07
77	segments/	phoneme	ng_E	1	2	7	25.44	25.44	6.632	1.14	0.15
78	segments/	silence	null	null	null	null	25.59	25.588	6.782	1.29	0.27
79	segments/	word	is	1	3	null	25.86	25.86	7.052	1.56	0.16
80	segments/	phoneme	ih_B	1	3	0	25.86	25.86	7.052	1.56	0.1
81	segments/	phoneme	z_E	1	3	1	25.96	25.96	7.152	1.66	0.06
82	segments/	word	in	1	4	null	26.02	26.02	7.212	1.72	0.12
83	segments/	phoneme	ih_B	1	4	0	26.02	26.02	7.212	1.72	0.07
84	segments/	phoneme	n_E	1	4	1	26.09	26.088	7.282	1.79	0.05
85	segments/	word	the	1	5	null	26.14	26.14	7.332	1.84	0.09
86	segments/	phoneme	dh_B	1	5	0	26.14	26.14	7.332	1.84	0.05
87	segments/	phoneme	ah_E	1	5	1	26.19	26.192	7.382	1.89	0.04
88	segments/	word	public	1	6	null	26.23	26.228	7.422	1.93	0.33
89	segments/	phoneme	p_B	1	6	0	26.23	26.228	7.422	1.93	0.06
90	segments/	phoneme	ah_I	1	6	1	26.29	26.288	7.482	1.99	0.08
91	segments/	phoneme	b_I	1	6	2	26.37	26.372	7.562	2.07	0.03
92	segments/	phoneme	l_I	1	6	3	26.4	26.4	7.592	2.1	0.04
93	segments/	phoneme	ih_I	1	6	4	26.44	26.44	7.632	2.14	0.05
94	segments/	phoneme	k_E	1	6	5	26.49	26.492	7.682	2.19	0.07
95	segments/	word	domain	1	7	null	26.56	26.56	7.752	2.26	0.35
96	segments/	phoneme	d_B	1	7	0	26.56	26.56	7.752	2.26	0.02
97	segments/	phoneme	ow_I	1	7	1	26.58	26.58	7.772	2.28	0.07
98	segments/	phoneme	m_I	1	7	2	26.65	26.648	7.842	2.35	0.07
99	segments/	phoneme	ey_I	1	7	3	26.72	26.72	7.912	2.42	0.11
100	segments/	phoneme	n_E	1	7	4	26.83	26.828	8.022	2.53	0.08

End of preview.

LibriBrain (Sherlock Holmes 1–7)

Paper

Code

This repository contains the LibriBrain data organised by book: MEG recordings (.h5), event annotations (.tsv), and the audiobook stimulus audio (.wav).

LibriBrain was first open-sourced as part of the 2025 PNPL Competition.

In addition, LibriBrain is used as a fine-tuning dataset in the paper “MEG-XL: Data-Efficient Brain-to-Text via Long-Context Pre-Training” to evaluate word decoding from brain data.

Sample Usage

The easiest way to get started with the dataset is using the pnpl Python library. There, the following two datasets are available:

LibriBrainSpeech

This wraps the LibriBrain dataset for use in speech detection problems.

from pnpl.datasets import LibriBrainSpeech

speech_example_data = LibriBrainSpeech(
    data_path="./data/",
    partition="train"
)

sample_data, label = speech_example_data[0]

# Print out some basic info about the sample
print("Sample data shape:", sample_data.shape)
print("Label shape:", label.shape)

LibriBrainPhoneme

This wraps the LibriBrain dataset for use in phoneme classification problems.

from pnpl.datasets import LibriBrainPhoneme

phoneme_example_data = LibriBrainPhoneme(
    data_path="./data/",
    partition="train"
)
sample_data, label = phoneme_example_data[0]

# Print out some basic info about the sample
print("Sample data shape:", sample_data.shape)
print("Label shape:", label.shape)

Repository structure

Data are organised into seven top-level directories:

• Sherlock1/
• Sherlock2/
• …
• Sherlock7/

Each Sherlock{i} directory contains:

• Sherlock{i}/derivatives/serialised/*.h5 — serialised MEG recordings used for the 2025 PNPL competition
• Sherlock{i}/derivatives/events/*.tsv — competition annotations
• Sherlock{i}/stimuli/audio/*.wav — stimulus audio
• Sherlock{i}/sub-0/ses-1/meg/*.fif — raw MEG recordings
• Sherlock{i}/sub-0/ses-1/meg/*.tsv — BIDS events files (recommended going forward)

Shared metadata

The repository also includes a top-level metadata/ directory containing information shared across all Sherlock{i} datasets:

• metadata/channels.tsv — BIDS-style channels table (name, type, units, filter settings, sampling frequency, and status) used consistently across datasets.
• metadata/sensor_xyz.json — sensor position array of shape (n_channels, 3) giving XYZ coordinates for each channel. Please refer to the raw FIF (*_meg.fif) for coordinate frame and transforms. Provided as a lightweight convenience for visualisation / sanity checks.
• metadata/neo/ct_sparse.fif and metadata/neo/sss_cal.dat — site-specific MaxFilter/SSS calibration files for the NEO scanner. These are required if you want to run Signal Space Separation / Maxwell filtering (e.g. via mne.preprocessing.maxwell_filter) on the raw FIF files. If you are using the preprocessed data that we provide (e.g. serialised .h5 files), then you can ignore these.

Stimulus audio (LibriVox)

The spoken-audio stimuli are derived from LibriVox public-domain recordings of the first seven Sherlock Holmes books (recording versions linked below). The stimuli are provided in this repository as WAV files converted from the LibriVox downloads.

LibriVox source URLs (recording versions)

1. https://librivox.org/a-study-in-scarlet-version-6-by-sir-arthur-conan-doyle/
2. https://librivox.org/the-sign-of-the-four-version-3-by-sir-arthur-conan-doyle/
3. https://librivox.org/the-adventures-of-sherlock-holmes-version-4-by-sir-arthur-conan-doyle/
4. https://librivox.org/the-memoirs-of-sherlock-holmes-by-sir-arthur-conan-doyle-2/
5. https://librivox.org/the-hound-of-the-baskervilles-version-4-by-sir-arthur-conan-doyle/
6. https://librivox.org/the-return-of-sherlock-holmes-by-sir-arthur-conan-doyle-2/
7. https://librivox.org/the-valley-of-fear-version-3-by-sir-arthur-conan-doyle/

Audio format

The WAV files in this repository are:

• WAV (PCM), mono (1 channel), 22,050 Hz, 16-bit signed integer PCM

Example conversion command (SoX):

sox "INPUT_FROM_LIBRIVOX.mp3" -c 1 -r 22050 -b 16 "OUTPUT.wav"

Citation

If you use this dataset, please cite the LibriBrain paper:

@article{ozdogan2025libribrain,
  author    = {Özdogan, Miran and Landau, Gilad and Elvers, Gereon and Jayalath, Dulhan and Somaiya, Pratik and Mantegna, Francesco and Woolrich, Mark and Parker Jones, Oiwi},
  title     = {LibriBrain: Over 50 Hours of Within-Subject {MEG} to Improve Speech Decoding Methods at Scale},
  year      = {2025},
  journal   = {NeurIPS, Datasets \& Benchmarks Track},
  url       = {https://arxiv.org/abs/2506.02098},
}

Total file size:

552 GB