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README.md

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 Using this pipeline, we constructed the first large-scale Chinese television dubbing dataset CineDub-CN, which includes rich annotations and diverse scenes. 
 In monologue, narration, dialogue, and multi-speaker scenes, our dubbing model consistently outperforms state-of-the-art methods in terms of audio quality, lip-sync, timbre transition, and instruction following.
 
-<a name="Dataset&Demo&Code"></a>
-## Dataset & Demo 🎬
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+## Open Source 🎬
 You can access [https://funcineforge.github.io/](https://funcineforge.github.io/) to get our CineDub-CN dataset samples and demo samples. 
 
 GitHub link: [https://github.com/FunAudioLLM/FunCineForge/](https://github.com/FunAudioLLM/FunCineForge/)
 
 Modelscope link: [https://www.modelscope.cn/models/FunAudioLLM/Fun-CineForge/](https://www.modelscope.cn/models/FunAudioLLM/Fun-CineForge/)
 
+CineDub Dataset Samples: 
+[https://huggingface.co/datasets/FunAudioLLM/CineDub-Example/](https://huggingface.co/datasets/FunAudioLLM/CineDub-Example/)
+[https://www.modelscope.cn/datasets/FunAudioLLM/CineDub-Example](https://www.modelscope.cn/datasets/FunAudioLLM/CineDub-Example)
+
 <a name="Dataset-Pipeline"></a>
 ## Dataset Pipeline 🔨