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  license: cc-by-3.0
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  ---
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  This is the YODAS manual/automatic subset from our YODAS dataset, it has 369,510 hours of speech.
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  This dataset contains audio utterances and corresponding captions (manual or automatic) from YouTube. Note that manual caption only indicates that it is uploaded by users, but not necessarily transcribed by a human
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  ## Usage:
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  For example, `en000` to `en005` are the English shards containing manual subsets, and `en100` to `en127` contains the automatic subsets.
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  ## Contact
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  We made sure that our dataset only consisted of videos with CC licenses during our downloading. But in case you find your video unintentionally included in our dataset and would like to delete it, you can send a delete request to the following email.
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  ## Statistics
 
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  license: cc-by-3.0
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  ---
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+ Updates
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+ - 2024/07/09: we also uploaded a new version of YODAS as [YODAS2](https://huggingface.co/datasets/espnet/yodas2), it provides unsegmented audios and higher sampling rate (24k)
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+ ## README
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  This is the YODAS manual/automatic subset from our YODAS dataset, it has 369,510 hours of speech.
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  This dataset contains audio utterances and corresponding captions (manual or automatic) from YouTube. Note that manual caption only indicates that it is uploaded by users, but not necessarily transcribed by a human
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+ For more details about YODAS dataset, please refer to [our paper](https://arxiv.org/abs/2406.00899)
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  ## Usage:
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  For example, `en000` to `en005` are the English shards containing manual subsets, and `en100` to `en127` contains the automatic subsets.
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+ ## Reference
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+
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+ ```
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+ @inproceedings{li2023yodas,
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+ title={Yodas: Youtube-Oriented Dataset for Audio and Speech},
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+ author={Li, Xinjian and Takamichi, Shinnosuke and Saeki, Takaaki and Chen, William and Shiota, Sayaka and Watanabe, Shinji},
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+ booktitle={2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)},
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+ pages={1--8},
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+ year={2023},
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+ organization={IEEE}
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+ }
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+ ```
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  ## Contact
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  We made sure that our dataset only consisted of videos with CC licenses during our downloading. But in case you find your video unintentionally included in our dataset and would like to delete it, you can send a delete request to the following email.
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+ Remove the parenthesis `()` from the following email address
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+ `(lixinjian)(1217)@gmail.com`
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  ## Statistics