README.md

metadata

license: cc-by-nc-nd-4.0
task_categories:
  - automatic-speech-recognition
language:
  - fr
size_categories:
  - 100K<n<1M
dataset_info:
  config_name: single_samples
  features:
    - name: file
      dtype: string
    - name: audio
      dtype:
        audio:
          sampling_rate: 16000
    - name: sentence
      dtype: string
    - name: speaker_id
      dtype: string
    - name: start_timestamp
      dtype: float32
    - name: end_timestamp
      dtype: float32
    - name: index
      dtype: int32
  splits:
    - name: train
      num_bytes: 20277994133.15
      num_examples: 116045
    - name: test
      num_bytes: 179194101.33
      num_examples: 1059
    - name: validation
      num_bytes: 208542712.32
      num_examples: 1036
  download_size: 20400993966
  dataset_size: 20665730946.800003
configs:
  - config_name: single_samples
    data_files:
      - split: train
        path: single_samples/train-*
      - split: test
        path: single_samples/test-*
      - split: validation
        path: single_samples/validation-*
    default: true

The french subset of the dataset Multilingual TEDx. The data uploaded to HF corresponds to the directory fr-fr. The audio files are automatically resampled to 16 kHz.

Configs:

• single_samples (default): all samples taken separately

Sample

{'file': '0u7tTptBo9I-0', 'audio': {'path': None, 'array': array([ 3.05175781e-05,  6.10351562e-05,  9.15527344e-05, ...,
       -2.44140625e-04, -3.35693359e-04, -2.74658203e-04]), 'sampling_rate': 16000}, 'sentence': "Bonsoir ! Notre planète est recouverte à 70 % d'océan, et pourtant, étrangement, on a choisi de l'appeler « la Terre ». Le poète Heathcote Williams a une vision bien plus objective et moins anthropocentrique, quand il dit que « Vue de l'espace, la planète est bleue. Vue de l'espace, elle est le territoire, non pas des hommes, mais des baleines ». Et pourtant, on vient tous de l'océan. ", 'speaker_id': '0u7tTptBo9I', 'start_timestamp': 17.25, 'end_timestamp': 45.26, 'index': 0}

@inproceedings{salesky2021mtedx,
  title={Multilingual TEDx Corpus for Speech Recognition and Translation},
  author={Elizabeth Salesky and Matthew Wiesner and Jacob Bremerman and Roldano Cattoni and Matteo Negri and Marco Turchi and Douglas W. Oard and Matt Post},
  booktitle={Proceedings of Interspeech},
  year={2021},
}