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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
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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Models trained or fine-tuned on reazon-research/reazonspeech
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