README.md

metadata

pretty_name: 10K hours of English MLS
annotations_creators:
  - expert-generated
language_creators:
  - crowdsourced
  - expert-generated
language:
  - en
license:
  - cc-by-4.0
multilinguality:
  - multilingual
paperswithcode_id: multilingual-librispeech
size_categories:
  - 1M<n<10M
source_datasets:
  - original
task_categories:
  - automatic-speech-recognition
  - text-to-speech
  - text-to-audio
dataset_info:
  features:
    - name: audio
      dtype: audio
    - name: original_path
      dtype: string
    - name: begin_time
      dtype: float64
    - name: end_time
      dtype: float64
    - name: transcript
      dtype: string
    - name: audio_duration
      dtype: float64
    - name: speaker_id
      dtype: string
    - name: book_id
      dtype: string
  splits:
    - name: dev
      num_bytes: 249691299.74
      num_examples: 3807
    - name: test
      num_bytes: 245941162.096
      num_examples: 3769
    - name: train
      num_bytes: 158437701688.205
      num_examples: 2420047
  download_size: 158461062068
  dataset_size: 158933334150.041
configs:
  - config_name: default
    data_files:
      - split: dev
        path: data/dev-*
      - split: test
        path: data/test-*
      - split: train
        path: data/train-*

Dataset Summary

This is a 10K hours subset of English version of the Multilingual LibriSpeech (MLS) dataset. The data archives were restructured from the original ones from OpenSLR to make it easier to stream.

MLS dataset is a large multilingual corpus suitable for speech research. The dataset is derived from read audiobooks from LibriVox and consists of 8 languages - English, German, Dutch, Spanish, French, Italian, Portuguese, Polish. It includes about 44.5K hours of English and a total of about 6K hours for other languages.

This dataset card includes the 10K hours of English. Refers to this dataset card for the other languages.

Licensing Information

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

Citation Information

@article{Pratap2020MLSAL,
  title={MLS: A Large-Scale Multilingual Dataset for Speech Research},
  author={Vineel Pratap and Qiantong Xu and Anuroop Sriram and Gabriel Synnaeve and Ronan Collobert},
  journal={ArXiv},
  year={2020},
  volume={abs/2012.03411}
}