Dataset Preview
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed
Error code: DatasetGenerationError
Exception: ParserError
Message: Error tokenizing data. C error: Expected 1 fields in line 431, saw 2
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1855, in _prepare_split_single
for _, table in generator:
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/csv/csv.py", line 190, in _generate_tables
for batch_idx, df in enumerate(csv_file_reader):
File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 1843, in __next__
return self.get_chunk()
File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 1985, in get_chunk
return self.read(nrows=size)
File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 1923, in read
) = self._engine.read( # type: ignore[attr-defined]
File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/c_parser_wrapper.py", line 234, in read
chunks = self._reader.read_low_memory(nrows)
File "parsers.pyx", line 850, in pandas._libs.parsers.TextReader.read_low_memory
File "parsers.pyx", line 905, in pandas._libs.parsers.TextReader._read_rows
File "parsers.pyx", line 874, in pandas._libs.parsers.TextReader._tokenize_rows
File "parsers.pyx", line 891, in pandas._libs.parsers.TextReader._check_tokenize_status
File "parsers.pyx", line 2061, in pandas._libs.parsers.raise_parser_error
pandas.errors.ParserError: Error tokenizing data. C error: Expected 1 fields in line 431, saw 2
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 1438, 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 1050, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 925, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1001, 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 1742, 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 1898, 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.
Unnamed: 0
int64 | language
string | speaker_id
string | clip_id
string | audio_file
string | path
string |
|---|---|---|---|---|---|
0
|
en
|
id06722
|
L0ReSIBBfl0
|
00134.m4a
|
id06722/L0ReSIBBfl0/00134.m4a
|
1
|
en
|
id06722
|
L0ReSIBBfl0
|
00138.m4a
|
id06722/L0ReSIBBfl0/00138.m4a
|
2
|
en
|
id06722
|
L0ReSIBBfl0
|
00139.m4a
|
id06722/L0ReSIBBfl0/00139.m4a
|
3
|
en
|
id06722
|
L0ReSIBBfl0
|
00135.m4a
|
id06722/L0ReSIBBfl0/00135.m4a
|
4
|
en
|
id06722
|
L0ReSIBBfl0
|
00136.m4a
|
id06722/L0ReSIBBfl0/00136.m4a
|
5
|
en
|
id06722
|
L0ReSIBBfl0
|
00137.m4a
|
id06722/L0ReSIBBfl0/00137.m4a
|
6
|
en
|
id06722
|
L0ReSIBBfl0
|
00133.m4a
|
id06722/L0ReSIBBfl0/00133.m4a
|
7
|
en
|
id06722
|
b0AlYiijHeY
|
00222.m4a
|
id06722/b0AlYiijHeY/00222.m4a
|
8
|
en
|
id06722
|
AeyV3gbRYz4
|
00076.m4a
|
id06722/AeyV3gbRYz4/00076.m4a
|
9
|
en
|
id06722
|
AeyV3gbRYz4
|
00075.m4a
|
id06722/AeyV3gbRYz4/00075.m4a
|
10
|
en
|
id06722
|
7OocNKBueEo
|
00061.m4a
|
id06722/7OocNKBueEo/00061.m4a
|
11
|
en
|
id06722
|
_PkN0853E0A
|
00220.m4a
|
id06722/_PkN0853E0A/00220.m4a
|
12
|
en
|
id06722
|
_PkN0853E0A
|
00221.m4a
|
id06722/_PkN0853E0A/00221.m4a
|
13
|
en
|
id06722
|
_PkN0853E0A
|
00219.m4a
|
id06722/_PkN0853E0A/00219.m4a
|
14
|
en
|
id06722
|
3Q7LnVlSY1I
|
00022.m4a
|
id06722/3Q7LnVlSY1I/00022.m4a
|
15
|
en
|
id06722
|
3Q7LnVlSY1I
|
00021.m4a
|
id06722/3Q7LnVlSY1I/00021.m4a
|
16
|
en
|
id06722
|
vKkpvQlHEG8
|
00330.m4a
|
id06722/vKkpvQlHEG8/00330.m4a
|
17
|
en
|
id06722
|
vKkpvQlHEG8
|
00329.m4a
|
id06722/vKkpvQlHEG8/00329.m4a
|
18
|
en
|
id06722
|
2fAx3TZ12EI
|
00019.m4a
|
id06722/2fAx3TZ12EI/00019.m4a
|
19
|
en
|
id06722
|
2fAx3TZ12EI
|
00020.m4a
|
id06722/2fAx3TZ12EI/00020.m4a
|
20
|
en
|
id06722
|
2fAx3TZ12EI
|
00018.m4a
|
id06722/2fAx3TZ12EI/00018.m4a
|
21
|
en
|
id06722
|
2fAx3TZ12EI
|
00017.m4a
|
id06722/2fAx3TZ12EI/00017.m4a
|
22
|
en
|
id06722
|
Ty7hNfplxj0
|
00176.m4a
|
id06722/Ty7hNfplxj0/00176.m4a
|
23
|
en
|
id06722
|
Ty7hNfplxj0
|
00175.m4a
|
id06722/Ty7hNfplxj0/00175.m4a
|
24
|
en
|
id06722
|
Ty7hNfplxj0
|
00199.m4a
|
id06722/Ty7hNfplxj0/00199.m4a
|
25
|
en
|
id06722
|
Ty7hNfplxj0
|
00198.m4a
|
id06722/Ty7hNfplxj0/00198.m4a
|
26
|
en
|
id06722
|
Ty7hNfplxj0
|
00191.m4a
|
id06722/Ty7hNfplxj0/00191.m4a
|
27
|
en
|
id06722
|
Ty7hNfplxj0
|
00188.m4a
|
id06722/Ty7hNfplxj0/00188.m4a
|
28
|
en
|
id06722
|
Ty7hNfplxj0
|
00192.m4a
|
id06722/Ty7hNfplxj0/00192.m4a
|
29
|
en
|
id06722
|
Ty7hNfplxj0
|
00197.m4a
|
id06722/Ty7hNfplxj0/00197.m4a
|
30
|
en
|
id06722
|
Ty7hNfplxj0
|
00187.m4a
|
id06722/Ty7hNfplxj0/00187.m4a
|
31
|
en
|
id06722
|
Ty7hNfplxj0
|
00195.m4a
|
id06722/Ty7hNfplxj0/00195.m4a
|
32
|
en
|
id06722
|
Ty7hNfplxj0
|
00201.m4a
|
id06722/Ty7hNfplxj0/00201.m4a
|
33
|
en
|
id06722
|
Ty7hNfplxj0
|
00179.m4a
|
id06722/Ty7hNfplxj0/00179.m4a
|
34
|
en
|
id06722
|
Ty7hNfplxj0
|
00180.m4a
|
id06722/Ty7hNfplxj0/00180.m4a
|
35
|
en
|
id06722
|
Ty7hNfplxj0
|
00186.m4a
|
id06722/Ty7hNfplxj0/00186.m4a
|
36
|
en
|
id06722
|
Ty7hNfplxj0
|
00196.m4a
|
id06722/Ty7hNfplxj0/00196.m4a
|
37
|
en
|
id06722
|
Ty7hNfplxj0
|
00200.m4a
|
id06722/Ty7hNfplxj0/00200.m4a
|
38
|
en
|
id06722
|
Ty7hNfplxj0
|
00193.m4a
|
id06722/Ty7hNfplxj0/00193.m4a
|
39
|
en
|
id06722
|
Ty7hNfplxj0
|
00181.m4a
|
id06722/Ty7hNfplxj0/00181.m4a
|
40
|
en
|
id06722
|
Ty7hNfplxj0
|
00174.m4a
|
id06722/Ty7hNfplxj0/00174.m4a
|
41
|
en
|
id06722
|
Ty7hNfplxj0
|
00182.m4a
|
id06722/Ty7hNfplxj0/00182.m4a
|
42
|
en
|
id06722
|
Ty7hNfplxj0
|
00178.m4a
|
id06722/Ty7hNfplxj0/00178.m4a
|
43
|
en
|
id06722
|
Ty7hNfplxj0
|
00194.m4a
|
id06722/Ty7hNfplxj0/00194.m4a
|
44
|
en
|
id06722
|
Ty7hNfplxj0
|
00183.m4a
|
id06722/Ty7hNfplxj0/00183.m4a
|
45
|
en
|
id06722
|
Ty7hNfplxj0
|
00184.m4a
|
id06722/Ty7hNfplxj0/00184.m4a
|
46
|
en
|
id06722
|
Ty7hNfplxj0
|
00189.m4a
|
id06722/Ty7hNfplxj0/00189.m4a
|
47
|
en
|
id06722
|
Ty7hNfplxj0
|
00190.m4a
|
id06722/Ty7hNfplxj0/00190.m4a
|
48
|
en
|
id06722
|
Ty7hNfplxj0
|
00185.m4a
|
id06722/Ty7hNfplxj0/00185.m4a
|
49
|
en
|
id06722
|
Ty7hNfplxj0
|
00177.m4a
|
id06722/Ty7hNfplxj0/00177.m4a
|
50
|
en
|
id06722
|
72i0M4DXNMc
|
00052.m4a
|
id06722/72i0M4DXNMc/00052.m4a
|
51
|
en
|
id06722
|
72i0M4DXNMc
|
00046.m4a
|
id06722/72i0M4DXNMc/00046.m4a
|
52
|
en
|
id06722
|
72i0M4DXNMc
|
00049.m4a
|
id06722/72i0M4DXNMc/00049.m4a
|
53
|
en
|
id06722
|
72i0M4DXNMc
|
00047.m4a
|
id06722/72i0M4DXNMc/00047.m4a
|
54
|
en
|
id06722
|
72i0M4DXNMc
|
00050.m4a
|
id06722/72i0M4DXNMc/00050.m4a
|
55
|
en
|
id06722
|
72i0M4DXNMc
|
00048.m4a
|
id06722/72i0M4DXNMc/00048.m4a
|
56
|
en
|
id06722
|
72i0M4DXNMc
|
00051.m4a
|
id06722/72i0M4DXNMc/00051.m4a
|
57
|
en
|
id06722
|
tnvf4ygJllg
|
00326.m4a
|
id06722/tnvf4ygJllg/00326.m4a
|
58
|
en
|
id06722
|
tnvf4ygJllg
|
00323.m4a
|
id06722/tnvf4ygJllg/00323.m4a
|
59
|
en
|
id06722
|
tnvf4ygJllg
|
00324.m4a
|
id06722/tnvf4ygJllg/00324.m4a
|
60
|
en
|
id06722
|
tnvf4ygJllg
|
00325.m4a
|
id06722/tnvf4ygJllg/00325.m4a
|
61
|
en
|
id06722
|
tnvf4ygJllg
|
00327.m4a
|
id06722/tnvf4ygJllg/00327.m4a
|
62
|
en
|
id06722
|
tnvf4ygJllg
|
00328.m4a
|
id06722/tnvf4ygJllg/00328.m4a
|
63
|
en
|
id06722
|
I5_FGsknQh8
|
00125.m4a
|
id06722/I5_FGsknQh8/00125.m4a
|
64
|
en
|
id06722
|
I5_FGsknQh8
|
00117.m4a
|
id06722/I5_FGsknQh8/00117.m4a
|
65
|
en
|
id06722
|
I5_FGsknQh8
|
00124.m4a
|
id06722/I5_FGsknQh8/00124.m4a
|
66
|
en
|
id06722
|
I5_FGsknQh8
|
00123.m4a
|
id06722/I5_FGsknQh8/00123.m4a
|
67
|
en
|
id06722
|
I5_FGsknQh8
|
00121.m4a
|
id06722/I5_FGsknQh8/00121.m4a
|
68
|
en
|
id06722
|
I5_FGsknQh8
|
00120.m4a
|
id06722/I5_FGsknQh8/00120.m4a
|
69
|
en
|
id06722
|
I5_FGsknQh8
|
00119.m4a
|
id06722/I5_FGsknQh8/00119.m4a
|
70
|
en
|
id06722
|
I5_FGsknQh8
|
00122.m4a
|
id06722/I5_FGsknQh8/00122.m4a
|
71
|
en
|
id06722
|
I5_FGsknQh8
|
00116.m4a
|
id06722/I5_FGsknQh8/00116.m4a
|
72
|
en
|
id06722
|
I5_FGsknQh8
|
00118.m4a
|
id06722/I5_FGsknQh8/00118.m4a
|
73
|
en
|
id06722
|
TNFS9CN6Z4I
|
00171.m4a
|
id06722/TNFS9CN6Z4I/00171.m4a
|
74
|
en
|
id06722
|
TNFS9CN6Z4I
|
00173.m4a
|
id06722/TNFS9CN6Z4I/00173.m4a
|
75
|
en
|
id06722
|
TNFS9CN6Z4I
|
00172.m4a
|
id06722/TNFS9CN6Z4I/00172.m4a
|
76
|
en
|
id06722
|
ce9WhZIK0G4
|
00234.m4a
|
id06722/ce9WhZIK0G4/00234.m4a
|
77
|
en
|
id06722
|
ce9WhZIK0G4
|
00233.m4a
|
id06722/ce9WhZIK0G4/00233.m4a
|
78
|
en
|
id06722
|
ce9WhZIK0G4
|
00228.m4a
|
id06722/ce9WhZIK0G4/00228.m4a
|
79
|
en
|
id06722
|
ce9WhZIK0G4
|
00229.m4a
|
id06722/ce9WhZIK0G4/00229.m4a
|
80
|
en
|
id06722
|
ce9WhZIK0G4
|
00226.m4a
|
id06722/ce9WhZIK0G4/00226.m4a
|
81
|
en
|
id06722
|
ce9WhZIK0G4
|
00224.m4a
|
id06722/ce9WhZIK0G4/00224.m4a
|
82
|
en
|
id06722
|
ce9WhZIK0G4
|
00223.m4a
|
id06722/ce9WhZIK0G4/00223.m4a
|
83
|
en
|
id06722
|
ce9WhZIK0G4
|
00230.m4a
|
id06722/ce9WhZIK0G4/00230.m4a
|
84
|
en
|
id06722
|
ce9WhZIK0G4
|
00231.m4a
|
id06722/ce9WhZIK0G4/00231.m4a
|
85
|
en
|
id06722
|
ce9WhZIK0G4
|
00225.m4a
|
id06722/ce9WhZIK0G4/00225.m4a
|
86
|
en
|
id06722
|
ce9WhZIK0G4
|
00235.m4a
|
id06722/ce9WhZIK0G4/00235.m4a
|
87
|
en
|
id06722
|
ce9WhZIK0G4
|
00232.m4a
|
id06722/ce9WhZIK0G4/00232.m4a
|
88
|
en
|
id06722
|
ce9WhZIK0G4
|
00237.m4a
|
id06722/ce9WhZIK0G4/00237.m4a
|
89
|
en
|
id06722
|
ce9WhZIK0G4
|
00236.m4a
|
id06722/ce9WhZIK0G4/00236.m4a
|
90
|
en
|
id06722
|
ce9WhZIK0G4
|
00227.m4a
|
id06722/ce9WhZIK0G4/00227.m4a
|
91
|
en
|
id06722
|
QpYU2YZZwYI
|
00156.m4a
|
id06722/QpYU2YZZwYI/00156.m4a
|
92
|
en
|
id06722
|
QpYU2YZZwYI
|
00155.m4a
|
id06722/QpYU2YZZwYI/00155.m4a
|
93
|
en
|
id06722
|
8vJDvvu6BRQ
|
00068.m4a
|
id06722/8vJDvvu6BRQ/00068.m4a
|
94
|
en
|
id06722
|
8vJDvvu6BRQ
|
00067.m4a
|
id06722/8vJDvvu6BRQ/00067.m4a
|
95
|
en
|
id06722
|
8vJDvvu6BRQ
|
00069.m4a
|
id06722/8vJDvvu6BRQ/00069.m4a
|
96
|
en
|
id06722
|
8vJDvvu6BRQ
|
00070.m4a
|
id06722/8vJDvvu6BRQ/00070.m4a
|
97
|
en
|
id06722
|
8vJDvvu6BRQ
|
00071.m4a
|
id06722/8vJDvvu6BRQ/00071.m4a
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98
|
en
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id06722
|
8vJDvvu6BRQ
|
00066.m4a
|
id06722/8vJDvvu6BRQ/00066.m4a
|
99
|
en
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id06722
|
8g4F-x0MZ2A
|
00065.m4a
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id06722/8g4F-x0MZ2A/00065.m4a
|
End of preview.
VoxCeleb2 Language-Detected Subset
This dataset is a language-labeled version of the VoxCeleb2 speaker identification dataset. It was created using the ProgramComputer/voxceleb Hugging Face dataset and the speechbrain/lang-id-voxlingua107-ecapa language identification model.
Dataset Contents
The dataset consists of two CSV files:
audio_clips_meta_data.csv
Contains metadata for each audio clip, including:clip_id: Unique identifier for the audio clip.speaker_id: ID of the speaker (matches VoxCeleb2 format).language: Language predicted using SpeechBrain's language ID model.audio_file: The audio clip file name- 'path': The local file path of the audio clip.
vox2_meta.csv
Mapsspeaker_idvalues to the speaker's real-world identity:speaker_id: ID of the speaker.name: Full name of the speaker.
How the Dataset Was Created
- The original VoxCeleb2 audio clips were accessed via the ProgramComputer/voxceleb. The combined zip archives were used.
- For each audio clip, the
speechbrain/lang-id-voxlingua107-ecapamodel was used to infer the spoken language. - The resulting metadata, including language labels, was stored in a CSV file (
audio_clips_meta_data.csv).
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