metadata

task_categories:
  - translation
  - automatic-speech-recognition
language:
  - gl
  - en
size_categories:
  - 1K<n<10K

Dataset Details

FLEURS-SpeechT-GL-EN is Galician-to-English dataset for Speech Translation task.

This dataset has been compiled from Google's FLEURS data set It contains ~10h11m of galician audios along with its text transcriptions and the correspondant English translations.

Preprocessing

This dataset has been generated based on Google's FLEURS speech dataset, by aligning English and Galician data. The alignment process has been performed following ymoslem's FLEURS dataset processing script

English translations quality

To get a sense of the quality of the english text with respect to the galician transcriptions, a Quality Estimation model has been applied.

QE model: Unbabel/wmt23-cometkiwi-da-xl
Average QE score: 0.76

Dataset Structure

DatasetDict({
    train: Dataset({
        features: ['id', 'audio', 'text_gl', 'text_en'],
        num_rows: 3450
    })
})

Citation

@article{fleurs2022arxiv,
  title = {FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech},
  author = {Conneau, Alexis and Ma, Min and Khanuja, Simran and Zhang, Yu and Axelrod, Vera and Dalmia, Siddharth and Riesa, Jason and Rivera, Clara and Bapna, Ankur},
  journal={arXiv preprint arXiv:2205.12446},
  url = {https://arxiv.org/abs/2205.12446},
  year = {2022},

Yasmin Moslem preprocessing script: https://github.com/ymoslem/Speech/blob/main/FLEURS-GA-EN.ipynb

Dataset Card Contact

Juan Julián Cea Morán (jjceamoran@gmail.com)