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zhu-han nielsr HF Staff commited on
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Add task categories, language tags, and project links (#2)

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- Add task categories, language tags, and project links (79d6398ab5d6e216d23df832d060d51da5e42e33)


Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>

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  1. README.md +25 -3
README.md CHANGED
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  ---
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  license: cc-by-nc-4.0
 
 
 
 
 
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  ---
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  # OpenDialog
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- OpenDialog is a 6.8k hours spoken dialogue dataset, introduced in paper [ZipVoice-Dialog](https://arxiv.org/abs/2507.09318). Check the paper for details
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- It consists of 1759 hours of Chinese data and 5074 hours of English data.
 
 
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- This dataset is also available at https://www.modelscope.cn/datasets/k2-fsa/OpenDialog (more friendly for users from China mainland)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  license: cc-by-nc-4.0
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+ task_categories:
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+ - text-to-speech
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+ language:
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+ - en
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+ - zh
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  ---
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  # OpenDialog
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+ OpenDialog is a 6.8k hours spoken dialogue dataset, introduced in the paper [ZipVoice-Dialog: Non-Autoregressive Spoken Dialogue Generation with Flow Matching](https://arxiv.org/abs/2507.09318).
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+ - **Paper:** [https://arxiv.org/abs/2507.09318](https://arxiv.org/abs/2507.09318)
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+ - **GitHub:** [https://github.com/k2-fsa/ZipVoice](https://github.com/k2-fsa/ZipVoice)
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+ - **Project Page:** [https://zipvoice-dialog.github.io](https://zipvoice-dialog.github.io)
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+ OpenDialog is the first large-scale (6.8k hours) open-source spoken dialogue dataset derived from in-the-wild speech data. It consists of:
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+ - **English data:** 5074 hours
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+ - **Chinese data:** 1759 hours
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+
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+ This dataset is also available at [ModelScope](https://www.modelscope.cn/datasets/k2-fsa/OpenDialog) (more friendly for users from China mainland).
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+
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+ ## Citation
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+
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+ ```bibtex
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+ @article{zhu2025zipvoicedialog,
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+ title={ZipVoice-Dialog: Non-Autoregressive Spoken Dialogue Generation with Flow Matching},
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+ author={Zhu, Han and Kang, Wei and Guo, Liyong and Yao, Zengwei and Kuang, Fangjun and Zhuang, Weiji and Li, Zhaoqing and Han, Zhifeng and Zhang, Dong and Zhang, Xin and Song, Xingchen and Lin, Long and Povey, Daniel},
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+ journal={arXiv preprint arXiv:2507.09318},
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+ year={2025}
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+ }
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+ ```