shunyalabs/asturian-speech-dataset

Dataset Card

Dataset Description

This dataset contains parts of data from Google FLEURS (Few-shot Learning Evaluation of Universal Representations of Speech).

Dataset Summary

The dataset includes audio recordings sampled at 16kHz along with their corresponding transcripts. It is split into training, validation, and test sets for speech recognition and related tasks.

Dataset Structure

Data Fields

• audio: An audio file with a sampling rate of 16,000 Hz
• transcript: A string containing the transcription of the audio

Data Splits

Split	Number of Examples	Size (bytes)
Train	2,511	1,737,068,408
Validation	398	227,494,239
Test	946	561,557,744

Total Dataset Size: ~2.53 GB

Citation

If you use this dataset, please cite the original FLEURS paper:

@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},
}

Additional Information

Source Data

This dataset is derived from the FLEURS dataset, which provides speech data for evaluating universal speech representations across multiple languages.

Licensing Information

Please refer to the original FLEURS dataset for licensing information.