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The dataset generation failed
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
participant_id: string
age: double
sex: double
hand: double
weight: double
height: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 936
to
{'idx': Value('int64'), 'wavile': Value('string'), 'kind': Value('string'), 'segment': Value('string'), 'sentenceidx': Value('int64'), 'wordidx': Value('int64'), 'phonemeidx': Value('float64'), 'timemeg': Value('float64'), 'timeds': Value('float64'), 'timesentence': Value('float64'), 'duration': Value('float64')}
because column names don't match
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 764, in write_table
self.write_rows_on_file() # in case there are buffered rows to write first
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 663, in write_rows_on_file
self._write_table(table)
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 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
participant_id: string
age: double
sex: double
hand: double
weight: double
height: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 936
to
{'idx': Value('int64'), 'wavile': Value('string'), 'kind': Value('string'), 'segment': Value('string'), 'sentenceidx': Value('int64'), 'wordidx': Value('int64'), 'phonemeidx': Value('float64'), 'timemeg': Value('float64'), 'timeds': 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 "/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 6 new columns ({'age', 'hand', 'participant_id', 'weight', 'sex', 'height'}) and 11 missing columns ({'sentenceidx', 'timemeg', 'phonemeidx', 'segment', 'kind', 'idx', 'wordidx', 'timeds', 'duration', 'wavile', 'timesentence'}).
This happened while the csv dataset builder was generating data using
hf://datasets/pnpl/LibriBrain2/MOCHATIMIT/sub-0/ses-1/meg/sub-0_ses-1_task-MOCHATIMIT_run-1_channels.tsv (at revision 8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e), ['hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/MOCHATIMIT/derivatives/events/sub-0_ses-1_task-MOCHATIMIT_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/MOCHATIMIT/derivatives/events/sub-0_ses-2_task-MOCHATIMIT_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/MOCHATIMIT/derivatives/events/sub-0_ses-3_task-MOCHATIMIT_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/MOCHATIMIT/derivatives/events/sub-0_ses-4_task-MOCHATIMIT_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/MOCHATIMIT/participants.tsv', 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'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/MOCHATIMIT/sub-0/ses-3/meg/sub-0_ses-3_task-MOCHATIMIT_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/MOCHATIMIT/sub-0/ses-3/sub-0_ses-3_scans.tsv', 'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/MOCHATIMIT/sub-0/ses-4/meg/sub-0_ses-4_task-MOCHATIMIT_run-1_channels.tsv', 'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/MOCHATIMIT/sub-0/ses-4/meg/sub-0_ses-4_task-MOCHATIMIT_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/MOCHATIMIT/sub-0/ses-4/sub-0_ses-4_scans.tsv', 'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/Sherlock1/derivatives/events/sub-10_ses-11_task-Sherlock1_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/Sherlock1/derivatives/events/sub-10_ses-12_task-Sherlock1_run-1_events.tsv', 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'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/Sherlock1/derivatives/events/sub-14_ses-11_task-Sherlock1_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/Sherlock1/derivatives/events/sub-14_ses-12_task-Sherlock1_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/Sherlock1/derivatives/events/sub-15_ses-11_task-Sherlock1_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/Sherlock1/derivatives/events/sub-15_ses-12_task-Sherlock1_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/Sherlock1/derivatives/events/sub-16_ses-11_task-Sherlock1_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/Sherlock1/derivatives/events/sub-16_ses-12_task-Sherlock1_run-1_events.tsv', 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'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/TheMoth/sub-0/ses-22/sub-0_ses-22_scans.tsv', 'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/TheMoth/sub-0/ses-23/meg/sub-0_ses-23_task-TheMoth_run-1_channels.tsv', 'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/TheMoth/sub-0/ses-23/meg/sub-0_ses-23_task-TheMoth_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/TheMoth/sub-0/ses-23/sub-0_ses-23_scans.tsv', 'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/TheMoth/sub-0/ses-24/meg/sub-0_ses-24_task-TheMoth_run-1_channels.tsv', 'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/TheMoth/sub-0/ses-24/meg/sub-0_ses-24_task-TheMoth_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/TheMoth/sub-0/ses-24/sub-0_ses-24_scans.tsv', 'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/TheMoth/sub-0/ses-25/meg/sub-0_ses-25_task-TheMoth_run-1_channels.tsv', 'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/TheMoth/sub-0/ses-25/meg/sub-0_ses-25_task-TheMoth_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/TheMoth/sub-0/ses-25/sub-0_ses-25_scans.tsv', 'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/TheMoth/sub-0/ses-26/meg/sub-0_ses-26_task-TheMoth_run-1_channels.tsv', 'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/TheMoth/sub-0/ses-26/meg/sub-0_ses-26_task-TheMoth_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/TheMoth/sub-0/ses-26/sub-0_ses-26_scans.tsv', 'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/TheMoth/sub-0/ses-27/meg/sub-0_ses-27_task-TheMoth_run-1_channels.tsv', 'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/TheMoth/sub-0/ses-27/meg/sub-0_ses-27_task-TheMoth_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/TheMoth/sub-0/ses-27/sub-0_ses-27_scans.tsv', 'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/TheMoth/sub-0/ses-28/meg/sub-0_ses-28_task-TheMoth_run-1_channels.tsv', 'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/TheMoth/sub-0/ses-28/meg/sub-0_ses-28_task-TheMoth_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/TheMoth/sub-0/ses-28/sub-0_ses-28_scans.tsv', 'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/TheMoth/sub-0/ses-29/meg/sub-0_ses-29_task-TheMoth_run-1_channels.tsv', 'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/TheMoth/sub-0/ses-29/meg/sub-0_ses-29_task-TheMoth_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/TheMoth/sub-0/ses-29/sub-0_ses-29_scans.tsv', 'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/TheMoth/sub-0/ses-3/meg/sub-0_ses-3_task-TheMoth_run-1_channels.tsv', 'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/TheMoth/sub-0/ses-3/meg/sub-0_ses-3_task-TheMoth_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/TheMoth/sub-0/ses-3/sub-0_ses-3_scans.tsv', 'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/TheMoth/sub-0/ses-30/meg/sub-0_ses-30_task-TheMoth_run-1_channels.tsv', 'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/TheMoth/sub-0/ses-30/meg/sub-0_ses-30_task-TheMoth_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/TheMoth/sub-0/ses-30/sub-0_ses-30_scans.tsv', 'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/TheMoth/sub-0/ses-4/meg/sub-0_ses-4_task-TheMoth_run-1_channels.tsv', 'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/TheMoth/sub-0/ses-4/meg/sub-0_ses-4_task-TheMoth_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/TheMoth/sub-0/ses-4/sub-0_ses-4_scans.tsv', 'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/TheMoth/sub-0/ses-5/meg/sub-0_ses-5_task-TheMoth_run-1_channels.tsv', 'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/TheMoth/sub-0/ses-5/meg/sub-0_ses-5_task-TheMoth_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/TheMoth/sub-0/ses-5/sub-0_ses-5_scans.tsv', 'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/TheMoth/sub-0/ses-6/meg/sub-0_ses-6_task-TheMoth_run-1_channels.tsv', 'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/TheMoth/sub-0/ses-6/meg/sub-0_ses-6_task-TheMoth_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/TheMoth/sub-0/ses-6/sub-0_ses-6_scans.tsv', 'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/TheMoth/sub-0/ses-7/meg/sub-0_ses-7_task-TheMoth_run-1_channels.tsv', 'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/TheMoth/sub-0/ses-7/meg/sub-0_ses-7_task-TheMoth_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/TheMoth/sub-0/ses-7/sub-0_ses-7_scans.tsv', 'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/TheMoth/sub-0/ses-8/meg/sub-0_ses-8_task-TheMoth_run-1_channels.tsv', 'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/TheMoth/sub-0/ses-8/meg/sub-0_ses-8_task-TheMoth_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/TheMoth/sub-0/ses-8/sub-0_ses-8_scans.tsv', 'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/TheMoth/sub-0/ses-9/meg/sub-0_ses-9_task-TheMoth_run-1_channels.tsv', 'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/TheMoth/sub-0/ses-9/meg/sub-0_ses-9_task-TheMoth_run-1_events.tsv', 'hf://datasets/pnpl/LibriBrain2@8f5dace9a3af5c674100cabd1dd3aa0a72c01d8e/TheMoth/sub-0/ses-9/sub-0_ses-9_scans.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)
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1821, in _prepare_split_single
num_examples, num_bytes = writer.finalize()
^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 781, in finalize
self.write_rows_on_file()
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 663, in write_rows_on_file
self._write_table(table)
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 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
participant_id: string
age: double
sex: double
hand: double
weight: double
height: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 936
to
{'idx': Value('int64'), 'wavile': Value('string'), 'kind': Value('string'), 'segment': Value('string'), 'sentenceidx': Value('int64'), 'wordidx': Value('int64'), 'phonemeidx': Value('float64'), 'timemeg': Value('float64'), 'timeds': Value('float64'), 'timesentence': Value('float64'), 'duration': Value('float64')}
because column names don't match
The above exception was the direct cause of the following exception:
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 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 1832, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
idx int64 | wavile string | kind string | segment string | sentenceidx int64 | wordidx int64 | phonemeidx float64 | timemeg float64 | timeds float64 | timesentence float64 | duration float64 |
|---|---|---|---|---|---|---|---|---|---|---|
1 | stimuli/fsew0_077.wav | word | Bagpipes | 0 | 0 | null | 38.422 | 38.424 | 0.35 | 0.77 |
2 | stimuli/fsew0_077.wav | phoneme | b_B | 0 | 0 | 0 | 38.422 | 38.424 | 0.35 | 0.11 |
3 | stimuli/fsew0_077.wav | phoneme | ae_I | 0 | 0 | 1 | 38.532 | 38.532 | 0.46 | 0.13 |
4 | stimuli/fsew0_077.wav | phoneme | g_I | 0 | 0 | 2 | 38.662 | 38.664 | 0.59 | 0.11 |
5 | stimuli/fsew0_077.wav | phoneme | p_I | 0 | 0 | 3 | 38.772 | 38.772 | 0.7 | 0.11 |
6 | stimuli/fsew0_077.wav | phoneme | ay_I | 0 | 0 | 4 | 38.882 | 38.884 | 0.81 | 0.14 |
7 | stimuli/fsew0_077.wav | phoneme | p_I | 0 | 0 | 5 | 39.022 | 39.024 | 0.95 | 0.1 |
8 | stimuli/fsew0_077.wav | phoneme | s_E | 0 | 0 | 6 | 39.122 | 39.12 | 1.05 | 0.07 |
9 | stimuli/fsew0_077.wav | word | and | 0 | 1 | null | 39.222 | 39.224 | 1.15 | 0.2 |
10 | stimuli/fsew0_077.wav | phoneme | ah_B | 0 | 1 | 0 | 39.222 | 39.224 | 1.15 | 0.07 |
11 | stimuli/fsew0_077.wav | phoneme | n_I | 0 | 1 | 1 | 39.292 | 39.292 | 1.22 | 0.05 |
12 | stimuli/fsew0_077.wav | phoneme | d_E | 0 | 1 | 2 | 39.342 | 39.344 | 1.27 | 0.08 |
13 | stimuli/fsew0_077.wav | word | bongos | 0 | 2 | null | 39.422 | 39.424 | 1.35 | 0.61 |
14 | stimuli/fsew0_077.wav | phoneme | b_B | 0 | 2 | 0 | 39.422 | 39.424 | 1.35 | 0.08 |
15 | stimuli/fsew0_077.wav | phoneme | aa_I | 0 | 2 | 1 | 39.502 | 39.504 | 1.43 | 0.06 |
16 | stimuli/fsew0_077.wav | phoneme | ng_I | 0 | 2 | 2 | 39.562 | 39.564 | 1.49 | 0.11 |
17 | stimuli/fsew0_077.wav | phoneme | g_I | 0 | 2 | 3 | 39.672 | 39.672 | 1.6 | 0.07 |
18 | stimuli/fsew0_077.wav | phoneme | ow_I | 0 | 2 | 4 | 39.742 | 39.744 | 1.67 | 0.17 |
19 | stimuli/fsew0_077.wav | phoneme | z_E | 0 | 2 | 5 | 39.912 | 39.912 | 1.84 | 0.12 |
20 | stimuli/fsew0_077.wav | word | are | 0 | 3 | null | 40.082 | 40.08 | 2.01 | 0.11 |
21 | stimuli/fsew0_077.wav | phoneme | er_S | 0 | 3 | 0 | 40.082 | 40.08 | 2.01 | 0.11 |
22 | stimuli/fsew0_077.wav | word | musical | 0 | 4 | null | 40.192 | 40.192 | 2.12 | 0.41 |
23 | stimuli/fsew0_077.wav | phoneme | m_B | 0 | 4 | 0 | 40.192 | 40.192 | 2.12 | 0.05 |
24 | stimuli/fsew0_077.wav | phoneme | y_I | 0 | 4 | 1 | 40.242 | 40.244 | 2.17 | 0.09 |
25 | stimuli/fsew0_077.wav | phoneme | uw_I | 0 | 4 | 2 | 40.332 | 40.332 | 2.26 | 0.03 |
26 | stimuli/fsew0_077.wav | phoneme | z_I | 0 | 4 | 3 | 40.362 | 40.364 | 2.29 | 0.03 |
27 | stimuli/fsew0_077.wav | phoneme | ih_I | 0 | 4 | 4 | 40.392 | 40.392 | 2.32 | 0.07 |
28 | stimuli/fsew0_077.wav | phoneme | k_I | 0 | 4 | 5 | 40.462 | 40.464 | 2.39 | 0.01 |
29 | stimuli/fsew0_077.wav | phoneme | ah_I | 0 | 4 | 6 | 40.472 | 40.472 | 2.4 | 0.1 |
30 | stimuli/fsew0_077.wav | phoneme | l_E | 0 | 4 | 7 | 40.572 | 40.572 | 2.5 | 0.03 |
31 | stimuli/fsew0_077.wav | word | instruments | 0 | 5 | null | 40.602 | 40.604 | 2.53 | 0.74 |
32 | stimuli/fsew0_077.wav | phoneme | ih_B | 0 | 5 | 0 | 40.602 | 40.604 | 2.53 | 0.06 |
33 | stimuli/fsew0_077.wav | phoneme | n_I | 0 | 5 | 1 | 40.662 | 40.664 | 2.59 | 0.06 |
34 | stimuli/fsew0_077.wav | phoneme | s_I | 0 | 5 | 2 | 40.722 | 40.724 | 2.65 | 0.07 |
35 | stimuli/fsew0_077.wav | phoneme | t_I | 0 | 5 | 3 | 40.792 | 40.792 | 2.72 | 0.06 |
36 | stimuli/fsew0_077.wav | phoneme | r_I | 0 | 5 | 4 | 40.852 | 40.852 | 2.78 | 0.04 |
37 | stimuli/fsew0_077.wav | phoneme | ah_I | 0 | 5 | 5 | 40.892 | 40.892 | 2.82 | 0.02 |
38 | stimuli/fsew0_077.wav | phoneme | m_I | 0 | 5 | 6 | 40.912 | 40.912 | 2.84 | 0.05 |
39 | stimuli/fsew0_077.wav | phoneme | ah_I | 0 | 5 | 7 | 40.962 | 40.964 | 2.89 | 0.06 |
40 | stimuli/fsew0_077.wav | phoneme | n_I | 0 | 5 | 8 | 41.022 | 41.024 | 2.95 | 0.07 |
41 | stimuli/fsew0_077.wav | phoneme | t_I | 0 | 5 | 9 | 41.092 | 41.092 | 3.02 | 0.06 |
42 | stimuli/fsew0_077.wav | phoneme | s_E | 0 | 5 | 10 | 41.152 | 41.152 | 3.08 | 0.19 |
43 | stimuli/fsew0_084.wav | word | Cooperation | 1 | 0 | null | 43.83 | 43.828 | 0.67 | 0.88 |
44 | stimuli/fsew0_084.wav | phoneme | k_B | 1 | 0 | 0 | 43.83 | 43.828 | 0.67 | 0.12 |
45 | stimuli/fsew0_084.wav | phoneme | ow_I | 1 | 0 | 1 | 43.95 | 43.948 | 0.79 | 0.02 |
46 | stimuli/fsew0_084.wav | phoneme | aa_I | 1 | 0 | 2 | 43.97 | 43.968 | 0.81 | 0.06 |
47 | stimuli/fsew0_084.wav | phoneme | p_I | 1 | 0 | 3 | 44.03 | 44.028 | 0.87 | 0.08 |
48 | stimuli/fsew0_084.wav | phoneme | er_I | 1 | 0 | 4 | 44.11 | 44.108 | 0.95 | 0.12 |
49 | stimuli/fsew0_084.wav | phoneme | ey_I | 1 | 0 | 5 | 44.23 | 44.228 | 1.07 | 0.12 |
50 | stimuli/fsew0_084.wav | phoneme | sh_I | 1 | 0 | 6 | 44.35 | 44.348 | 1.19 | 0.14 |
51 | stimuli/fsew0_084.wav | phoneme | ah_I | 1 | 0 | 7 | 44.49 | 44.488 | 1.33 | 0.09 |
52 | stimuli/fsew0_084.wav | phoneme | n_E | 1 | 0 | 8 | 44.58 | 44.58 | 1.42 | 0.13 |
53 | stimuli/fsew0_084.wav | word | along | 1 | 1 | null | 44.73 | 44.728 | 1.57 | 0.3 |
54 | stimuli/fsew0_084.wav | phoneme | ah_B | 1 | 1 | 0 | 44.73 | 44.728 | 1.57 | 0.11 |
55 | stimuli/fsew0_084.wav | phoneme | l_I | 1 | 1 | 1 | 44.84 | 44.84 | 1.68 | 0.06 |
56 | stimuli/fsew0_084.wav | phoneme | ao_I | 1 | 1 | 2 | 44.9 | 44.9 | 1.74 | 0.05 |
57 | stimuli/fsew0_084.wav | phoneme | ng_E | 1 | 1 | 3 | 44.95 | 44.948 | 1.79 | 0.08 |
58 | stimuli/fsew0_084.wav | word | with | 1 | 2 | null | 45.03 | 45.028 | 1.87 | 0.17 |
59 | stimuli/fsew0_084.wav | phoneme | w_B | 1 | 2 | 0 | 45.03 | 45.028 | 1.87 | 0.04 |
60 | stimuli/fsew0_084.wav | phoneme | ih_I | 1 | 2 | 1 | 45.07 | 45.068 | 1.91 | 0.04 |
61 | stimuli/fsew0_084.wav | phoneme | th_E | 1 | 2 | 2 | 45.11 | 45.108 | 1.95 | 0.09 |
62 | stimuli/fsew0_084.wav | word | understanding | 1 | 3 | null | 45.2 | 45.2 | 2.04 | 0.77 |
63 | stimuli/fsew0_084.wav | phoneme | ah_B | 1 | 3 | 0 | 45.2 | 45.2 | 2.04 | 0.01 |
64 | stimuli/fsew0_084.wav | phoneme | n_I | 1 | 3 | 1 | 45.21 | 45.208 | 2.05 | 0.09 |
65 | stimuli/fsew0_084.wav | phoneme | d_I | 1 | 3 | 2 | 45.3 | 45.3 | 2.14 | 0.05 |
66 | stimuli/fsew0_084.wav | phoneme | er_I | 1 | 3 | 3 | 45.35 | 45.348 | 2.19 | 0.04 |
67 | stimuli/fsew0_084.wav | phoneme | s_I | 1 | 3 | 4 | 45.39 | 45.388 | 2.23 | 0.06 |
68 | stimuli/fsew0_084.wav | phoneme | t_I | 1 | 3 | 5 | 45.45 | 45.448 | 2.29 | 0.09 |
69 | stimuli/fsew0_084.wav | phoneme | ae_I | 1 | 3 | 6 | 45.54 | 45.54 | 2.38 | 0.1 |
70 | stimuli/fsew0_084.wav | phoneme | n_I | 1 | 3 | 7 | 45.64 | 45.64 | 2.48 | 0.07 |
71 | stimuli/fsew0_084.wav | phoneme | d_I | 1 | 3 | 8 | 45.71 | 45.708 | 2.55 | 0.07 |
72 | stimuli/fsew0_084.wav | phoneme | ih_I | 1 | 3 | 9 | 45.78 | 45.78 | 2.62 | 0.08 |
73 | stimuli/fsew0_084.wav | phoneme | ng_E | 1 | 3 | 10 | 45.86 | 45.86 | 2.7 | 0.11 |
74 | stimuli/fsew0_084.wav | word | alleviate | 1 | 4 | null | 45.99 | 45.988 | 2.83 | 0.55 |
75 | stimuli/fsew0_084.wav | phoneme | ah_B | 1 | 4 | 0 | 45.99 | 45.988 | 2.83 | 0.07 |
76 | stimuli/fsew0_084.wav | phoneme | l_I | 1 | 4 | 1 | 46.06 | 46.06 | 2.9 | 0.08 |
77 | stimuli/fsew0_084.wav | phoneme | iy_I | 1 | 4 | 2 | 46.14 | 46.14 | 2.98 | 0.1 |
78 | stimuli/fsew0_084.wav | phoneme | v_I | 1 | 4 | 3 | 46.24 | 46.24 | 3.08 | 0.08 |
79 | stimuli/fsew0_084.wav | phoneme | iy_I | 1 | 4 | 4 | 46.32 | 46.32 | 3.16 | 0.08 |
80 | stimuli/fsew0_084.wav | phoneme | ey_I | 1 | 4 | 5 | 46.4 | 46.4 | 3.24 | 0.08 |
81 | stimuli/fsew0_084.wav | phoneme | t_E | 1 | 4 | 6 | 46.48 | 46.48 | 3.32 | 0.06 |
82 | stimuli/fsew0_084.wav | word | dispute | 1 | 5 | null | 46.55 | 46.548 | 3.39 | 0.64 |
83 | stimuli/fsew0_084.wav | phoneme | d_B | 1 | 5 | 0 | 46.55 | 46.548 | 3.39 | 0.05 |
84 | stimuli/fsew0_084.wav | phoneme | ih_I | 1 | 5 | 1 | 46.6 | 46.6 | 3.44 | 0.06 |
85 | stimuli/fsew0_084.wav | phoneme | s_I | 1 | 5 | 2 | 46.66 | 46.66 | 3.5 | 0.08 |
86 | stimuli/fsew0_084.wav | phoneme | p_I | 1 | 5 | 3 | 46.74 | 46.74 | 3.58 | 0.08 |
87 | stimuli/fsew0_084.wav | phoneme | y_I | 1 | 5 | 4 | 46.82 | 46.82 | 3.66 | 0.07 |
88 | stimuli/fsew0_084.wav | phoneme | uw_I | 1 | 5 | 5 | 46.89 | 46.888 | 3.73 | 0.09 |
89 | stimuli/fsew0_084.wav | phoneme | t_E | 1 | 5 | 6 | 46.98 | 46.98 | 3.82 | 0.21 |
90 | stimuli/msak0_424.wav | word | Valley | 2 | 0 | null | 50.538 | 50.536 | 0.73 | 0.38 |
91 | stimuli/msak0_424.wav | phoneme | v_B | 2 | 0 | 0 | 50.538 | 50.536 | 0.73 | 0.11 |
92 | stimuli/msak0_424.wav | phoneme | ae_I | 2 | 0 | 1 | 50.648 | 50.648 | 0.84 | 0.09 |
93 | stimuli/msak0_424.wav | phoneme | l_I | 2 | 0 | 2 | 50.738 | 50.736 | 0.93 | 0.09 |
94 | stimuli/msak0_424.wav | phoneme | iy_E | 2 | 0 | 3 | 50.828 | 50.828 | 1.02 | 0.09 |
95 | stimuli/msak0_424.wav | word | lodge | 2 | 1 | null | 50.918 | 50.916 | 1.11 | 0.33 |
96 | stimuli/msak0_424.wav | phoneme | l_B | 2 | 1 | 0 | 50.918 | 50.916 | 1.11 | 0.08 |
97 | stimuli/msak0_424.wav | phoneme | aa_I | 2 | 1 | 1 | 50.998 | 50.996 | 1.19 | 0.13 |
98 | stimuli/msak0_424.wav | phoneme | jh_E | 2 | 1 | 2 | 51.128 | 51.128 | 1.32 | 0.12 |
99 | stimuli/msak0_424.wav | word | yearly | 2 | 2 | null | 51.258 | 51.26 | 1.45 | 0.35 |
100 | stimuli/msak0_424.wav | phoneme | y_B | 2 | 2 | 0 | 51.258 | 51.26 | 1.45 | 0.13 |
End of preview.
This is the LibriBrain2 dataset. Together with LibriBrain, it forms LibriBrain100.
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