Datasets:
pnpl
/
LibriBrain

Dataset card Data Studio Files Community
5
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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 9 new columns ({'high_cutoff', 'sampling_frequency', 'name', 'units', 'status_description', 'description', 'low_cutoff', 'status', 'type'}) and 12 missing columns ({'timemeg', 'kind', 'wavile', 'timechapter', 'idx', 'segment', 'sentenceidx', 'duration', 'wordidx', 'timesentence', 'phonemeidx', 'timeds'}).

This happened while the csv dataset builder was generating data using

hf://datasets/pnpl/LibriBrain/metadata/channels.tsv (at revision aeccc7f83ce089c6a71cc3d8448fe3c4df700721)

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 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 644, 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 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/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 1451, 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 994, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1702, 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 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 ({'high_cutoff', 'sampling_frequency', 'name', 'units', 'status_description', 'description', 'low_cutoff', 'status', 'type'}) and 12 missing columns ({'timemeg', 'kind', 'wavile', 'timechapter', 'idx', 'segment', 'sentenceidx', 'duration', 'wordidx', 'timesentence', 'phonemeidx', 'timeds'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/pnpl/LibriBrain/metadata/channels.tsv (at revision aeccc7f83ce089c6a71cc3d8448fe3c4df700721)
              
              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
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0.13
20
segments/
phoneme
ah_B
0
4
0
21.07
21.068
2.282
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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
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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
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phoneme
d_I
0
6
3
21.46
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segments/
phoneme
iy_E
0
6
4
21.5
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2.712
2.02
0.07
30
segments/
word
in
0
7
null
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segments/
phoneme
ih_B
0
7
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32
segments/
phoneme
n_E
0
7
1
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0.07
33
segments/
word
Scarlet
0
8
null
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34
segments/
phoneme
s_B
0
8
0
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35
segments/
phoneme
k_I
0
8
1
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36
segments/
phoneme
aa_I
0
8
2
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37
segments/
phoneme
r_I
0
8
3
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0.04
38
segments/
phoneme
l_I
0
8
4
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0.06
39
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phoneme
ah_I
0
8
5
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phoneme
t_E
0
8
6
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by
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b_B
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ay_E
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Sir
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s_B
0
10
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er_E
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10
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Arthur
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aa_B
0
11
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r_I
0
11
1
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th_I
0
11
2
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0.11
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segments/
phoneme
er_E
0
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3
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segments/
word
Conan
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k_B
0
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ow_I
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segments/
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n_I
0
12
2
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segments/
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ah_I
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segments/
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n_E
0
12
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segments/
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Doyle
0
13
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segments/
phoneme
d_B
0
13
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0.08
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segments/
phoneme
oy_I
0
13
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segments/
phoneme
l_E
0
13
2
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segments/
silence
null
null
null
null
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segments/
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This
1
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segments/
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dh_B
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segments/
phoneme
ih_I
1
0
1
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segments/
phoneme
s_E
1
0
2
24.49
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segments/
word
LibriVox
1
1
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segments/
phoneme
oov_S
1
1
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segments/
word
recording
1
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segments/
phoneme
r_B
1
2
0
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phoneme
ih_I
1
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1
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segments/
phoneme
k_I
1
2
2
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segments/
phoneme
ao_I
1
2
3
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segments/
phoneme
r_I
1
2
4
25.3
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d_I
1
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5
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ih_I
1
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segments/
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ng_E
1
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segments/
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segments/
word
is
1
3
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segments/
phoneme
ih_B
1
3
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segments/
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z_E
1
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segments/
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in
1
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segments/
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ih_B
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segments/
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1
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segments/
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the
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segments/
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dh_B
1
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ah_E
1
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segments/
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p_B
1
6
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26.23
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segments/
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ah_I
1
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b_I
1
6
2
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segments/
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l_I
1
6
3
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segments/
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ih_I
1
6
4
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segments/
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k_E
1
6
5
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segments/
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domain
1
7
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segments/
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d_B
1
7
0
26.56
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7.752
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segments/
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ow_I
1
7
1
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segments/
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m_I
1
7
2
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segments/
phoneme
ey_I
1
7
3
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segments/
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n_E
1
7
4
26.83
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0.08
End of preview.