zuazo/megconformer-speech-detection
Updated
Dataset Preview
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
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 9 new columns ({'units', 'description', 'sampling_frequency', 'status', 'status_description', 'low_cutoff', 'type', 'name', 'high_cutoff'}) and 12 missing columns ({'duration', 'idx', 'timeds', 'timemeg', 'phonemeidx', 'wavile', 'wordidx', 'kind', 'sentenceidx', 'timechapter', 'segment', 'timesentence'}).
This happened while the csv dataset builder was generating data using
hf://datasets/pnpl/LibriBrain/metadata/channels.tsv (at revision 3649c4738806f4abb340502b9e73eb65e8adcab8)
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 1831, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, 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
name: string
type: string
units: string
low_cutoff: double
high_cutoff: double
description: string
sampling_frequency: double
status: string
status_description: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1339
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 1334, 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 911, in stream_convert_to_parquet
builder._prepare_split(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, 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 1833, 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 9 new columns ({'units', 'description', 'sampling_frequency', 'status', 'status_description', 'low_cutoff', 'type', 'name', 'high_cutoff'}) and 12 missing columns ({'duration', 'idx', 'timeds', 'timemeg', 'phonemeidx', 'wavile', 'wordidx', 'kind', 'sentenceidx', 'timechapter', 'segment', 'timesentence'}).
This happened while the csv dataset builder was generating data using
hf://datasets/pnpl/LibriBrain/metadata/channels.tsv (at revision 3649c4738806f4abb340502b9e73eb65e8adcab8)
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.
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)
This repository contains the LibriBrain data organised by book: MEG recordings (.h5), event annotations (.tsv), and the audiobook stimulus audio (.wav).
Repository structure
Data are organised into seven top-level directories:
Sherlock1/Sherlock2/- …
Sherlock7/
Each Sherlock{i} directory contains:
Sherlock{i}/derivatives/events/— event annotation files (.tsv)Sherlock{i}/derivatives/serialised/— MEG recordings (.h5)Sherlock{i}/stimuli/audio/— stimulus audio (.wav)
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)
- https://librivox.org/a-study-in-scarlet-version-6-by-sir-arthur-conan-doyle/
- https://librivox.org/the-sign-of-the-four-version-3-by-sir-arthur-conan-doyle/
- https://librivox.org/the-adventures-of-sherlock-holmes-version-4-by-sir-arthur-conan-doyle/
- https://librivox.org/the-memoirs-of-sherlock-holmes-by-sir-arthur-conan-doyle-2/
- https://librivox.org/the-hound-of-the-baskervilles-version-4-by-sir-arthur-conan-doyle/
- https://librivox.org/the-return-of-sherlock-holmes-by-sir-arthur-conan-doyle-2/
- 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
@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},
}
- Downloads last month
- 904