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--- |
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language: |
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- pt |
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license: mit |
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datasets: |
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- jwlang |
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tags: |
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- automatic-speech-recognition |
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- speech |
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- dataset |
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viewer: true |
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--- |
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# JWLang Corpus |
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## Dataset Summary |
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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. |
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## Dataset Structure |
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- Number of samples: 10,000 |
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- Data format: Audio (WAV) and Text (SRT) |
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- Size: 5 GB |
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## Splits |
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| Split | Number of samples | |
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|------------|-------------------| |
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| Train | 8,000 | |
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| Validation | 1,000 | |
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| Test | 1,000 | |
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## Usage |
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To load and use the dataset: |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset("M2LabOrg/JWLang_Corpus") |
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``` |
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## Example Data |
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Example text snippet from the dataset: |
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``` |
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{ |
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"audio": "path/to/audio.wav", |
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"text": "Example subtitle text." |
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} |
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``` |
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## License |
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``` |
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CC BY-SA 4.0 |
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``` |
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## Citation |
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If you use this dataset, please cite: |
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``` |
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@article{jwlang_corpus, |
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title={JWLang Corpus for ASR Training}, |
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author={Michel Mesquita}, |
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journal={Unpublished}, |
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year={2024}, |
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} |
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``` |
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## Contact |
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For any questions or issues, please contact [Michel Mesquita](mailto:[email protected]). |