Languages: English
Multilinguality: monolingual
Size Categories: 10K<n<100K
Language Creators: crowdsourced
Annotations Creators: expert-generated
Source Datasets: original
Licenses: cc-by-4.0
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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    BadZipFile
Message:      File is not a zip file
Traceback:    Traceback (most recent call last):
                File "/src/workers/first_rows/src/first_rows/", line 407, in compute_first_rows_response
                  rows = get_rows(
                File "/src/workers/first_rows/src/first_rows/", line 136, in decorator
                  return func(*args, **kwargs)
                File "/src/workers/first_rows/src/first_rows/", line 86, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                File "/src/workers/first_rows/.venv/lib/python3.9/site-packages/datasets/", line 782, in __iter__
                  for key, example in self._iter():
                File "/src/workers/first_rows/.venv/lib/python3.9/site-packages/datasets/", line 772, in _iter
                  yield from ex_iterable
                File "/src/workers/first_rows/.venv/lib/python3.9/site-packages/datasets/", line 142, in __iter__
                  yield from self.generate_examples_fn(**self.kwargs)
                File "/tmp/modules-cache/datasets_modules/datasets/vctk/eeb0c5a93221dfd9ef03140e994b3b762d474be37ade9b3cc9e24e07ed227b07/", line 92, in _generate_examples
                  with open(meta_path, encoding="utf-8") as meta_file:
                File "/src/workers/first_rows/.venv/lib/python3.9/site-packages/datasets/", line 69, in wrapper
                  return function(*args, use_auth_token=use_auth_token, **kwargs)
                File "/src/workers/first_rows/.venv/lib/python3.9/site-packages/datasets/download/", line 469, in xopen
                  file_obj =, mode=mode, *args, **kwargs).open()
                File "/src/workers/first_rows/.venv/lib/python3.9/site-packages/fsspec/", line 441, in open
                  return open_files(
                File "/src/workers/first_rows/.venv/lib/python3.9/site-packages/fsspec/", line 273, in open_files
                  fs, fs_token, paths = get_fs_token_paths(
                File "/src/workers/first_rows/.venv/lib/python3.9/site-packages/fsspec/", line 606, in get_fs_token_paths
                  fs = filesystem(protocol, **inkwargs)
                File "/src/workers/first_rows/.venv/lib/python3.9/site-packages/fsspec/", line 284, in filesystem
                  return cls(**storage_options)
                File "/src/workers/first_rows/.venv/lib/python3.9/site-packages/fsspec/", line 76, in __call__
                  obj = super().__call__(*args, **kwargs)
                File "/src/workers/first_rows/.venv/lib/python3.9/site-packages/fsspec/implementations/", line 54, in __init__
         = zipfile.ZipFile(, mode=mode)
                File "/usr/local/lib/python3.9/", line 1257, in __init__
                File "/usr/local/lib/python3.9/", line 1324, in _RealGetContents
                  raise BadZipFile("File is not a zip file")
              zipfile.BadZipFile: File is not a zip file

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Dataset Card for VCTK

Dataset Summary

This CSTR VCTK Corpus includes speech data uttered by 110 English speakers with various accents. Each speaker reads out about 400 sentences, which were selected from a newspaper, the rainbow passage and an elicitation paragraph used for the speech accent archive.

Supported Tasks and Leaderboards

[More Information Needed]


[More Information Needed]

Dataset Structure

Data Instances

A data point comprises the path to the audio file, called file and its transcription, called text.

  'speaker_id': 'p225',
  'text_id': '001',
  'text': 'Please call Stella.',
  'age': '23',
  'gender': 'F',
  'accent': 'English',
  'region': 'Southern England',
  'file': '/datasets/downloads/extracted/8ed7dad05dfffdb552a3699777442af8e8ed11e656feb277f35bf9aea448f49e/wav48_silence_trimmed/p225/p225_001_mic1.flac',
      'path': '/datasets/downloads/extracted/8ed7dad05dfffdb552a3699777442af8e8ed11e656feb277f35bf9aea448f49e/wav48_silence_trimmed/p225/p225_001_mic1.flac',
      'array': array([0.00485229, 0.00689697, 0.00619507, ..., 0.00811768, 0.00836182, 0.00854492], dtype=float32),
      'sampling_rate': 48000
  'comment': ''

Each audio file is a single-channel FLAC with a sample rate of 48000 Hz.

Data Fields

Each row consists of the following fields:

  • speaker_id: Speaker ID
  • audio: Audio recording
  • file: Path to audio file
  • text: Text transcription of corresponding audio
  • text_id: Text ID
  • age: Speaker's age
  • gender: Speaker's gender
  • accent: Speaker's accent
  • region: Speaker's region, if annotation exists
  • comment: Miscellaneous comments, if any

Data Splits

The dataset has no predefined splits.

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

[More Information Needed]


Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

The dataset consists of people who have donated their voice online. You agree to not attempt to determine the identity of speakers in this dataset.

Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

[More Information Needed]

Licensing Information

Public Domain, Creative Commons Attribution 4.0 International Public License (CC-BY-4.0)

Citation Information

    title        = {CSTR VCTK Corpus: English Multi-speaker Corpus for CSTR Voice Cloning Toolkit},
    author       = {Christophe Veaux and Junichi Yamagishi and Kirsten MacDonald},
    year         = 2017


Thanks to @jaketae for adding this dataset.

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