metadata
datasets:
- jwlang
tags:
- automatic-speech-recognition
- speech
- dataset
license: mit
language:
- pt
viewer: true
JWLang Corpus
Dataset Summary
The JWLang Corpus is a collection of audio and corresponding text data from JW Broadcasting videos available on the jw.org website. It is intended for training and fine-tuning automatic speech recognition (ASR) models, specifically OpenAI Whisper.
Dataset Structure
- Number of samples: 10,000
- Data format: Audio (WAV) and Text (SRT)
- Size: 5 GB
Splits
Split | Number of samples |
---|---|
Train | 8,000 |
Validation | 1,000 |
Test | 1,000 |
Usage
To load and use the dataset:
from datasets import load_dataset
dataset = load_dataset("M2LabOrg/JWLang_Corpus")
Example Data
Example text snippet from the dataset:
{
"audio": "path/to/audio.wav",
"text": "Example subtitle text."
}
License
CC BY-SA 4.0
Citation
If you use this dataset, please cite:
@article{jwlang_corpus,
title={JWLang Corpus for ASR Training},
author={Michel Mesquita},
journal={Unpublished},
year={2024},
}
Contact
For any questions or issues, please contact Michel Mesquita.