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Dataset Card for ReazonSpeech

Dataset Summary

This dataset contains a diverse set of natural Japanese speech, collected from terrestrial television streams. It contains more than 35000 hours of audio.

Paper: ReazonSpeech: A Free and Massive Corpus for Japanese ASR

Disclaimer

TO USE THIS DATASET, YOU MUST AGREE THAT YOU WILL USE THE DATASET SOLELY FOR THE PURPOSE OF JAPANESE COPYRIGHT ACT ARTICLE 30-4.

Dataset Format

Audio files are available in FLAC format, sampled at 16000 hz. Each audio file is accompanied with a transcription.

{
    'name': '000/0000000000000.flac',
    'audio': {
        'path': '/path/to/000/0000000000000.flac',
        'array': array([ 0.01000000,  ...], dtype=float32),
        'sampling_rate': 16000
    },
    'transcription': '今日のニュースをお伝えします。'
}

We provide 5 different dataset sizes. Here is the list of available sizes and their approximate recording hours.

Name Size Hours
tiny 600MB 8.5 hours
small 6GB 100 hours
medium 65GB 1000 hours
large 330GB 5000 hours
all 2.3TB 35000 hours

You can access this dataset through Hugging Face datasets library.

from datasets import load_dataset
ds = load_dataset("reazon-research/reazonspeech", "all", trust_remote_code=True)

Access the older versions

If you want to access the older versions of ReazonSpeech corpus, you can use the following tags.

Name Size Hours
small-v1 350MB 5 hours
medium-v1 22GB 300 hours
all-v1 1TB 19000 hours

License

CDLA-Sharing-1.0

TO USE THIS DATASET, YOU MUST AGREE THAT YOU WILL USE THE DATASET SOLELY FOR THE PURPOSE OF JAPANESE COPYRIGHT ACT ARTICLE 30-4.

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