metadata
language:
- pt
license: mit
datasets:
- jwlang
tags:
- automatic-speech-recognition
- speech
- dataset
viewer: true
dataset_info:
- config_name: de
features:
- name: client_id
dtype: string
- name: audio
dtype: audio
- name: sentence
dtype: string
- name: language
dtype: string
- name: split
dtype: string
splits:
- name: train
num_bytes: 44420148
num_examples: 949
- name: test
num_bytes: 5730879
num_examples: 119
download_size: 50045852
dataset_size: 50151027
- config_name: pt
features:
- name: client_id
dtype: string
- name: audio
dtype: audio
- name: sentence
dtype: string
- name: language
dtype: string
- name: split
dtype: string
splits:
- name: train
num_bytes: 45540940.152
num_examples: 1004
- name: test
num_bytes: 5906213
num_examples: 126
- name: val
num_bytes: 5474968
num_examples: 125
download_size: 113555414
dataset_size: 56922121.152
configs:
- config_name: de
data_files:
- split: train
path: de/train-*
- split: test
path: de/test-*
- config_name: pt
data_files:
- split: train
path: pt/train-*
- split: test
path: pt/test-*
- split: val
path: pt/val-*
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journal={Unpublished},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.