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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 |
98 | en | id06722 | 8vJDvvu6BRQ | 00066.m4a | id06722/8vJDvvu6BRQ/00066.m4a |
99 | en | id06722 | 8g4F-x0MZ2A | 00065.m4a | 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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