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README.md
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# DualTalk Dataset
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[](https://huggingface.co/datasets/ZiqiaoPeng/DualTalk_Dataset)
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[](https://arxiv.org/abs/2505.18096)
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[](https://ziqiaopeng.github.io/dualtalk/)
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[](https://opensource.org/licenses/Apache-2.0)
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## π Overview
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The DualTalk dataset is the first large-scale dataset specifically designed for dual-speaker 3D talking head conversation generation. This dataset supports speaker and listener role transitions, multi-round conversations, and natural interactions, providing essential benchmark data for the 3D talking head generation field.
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## π― Dataset Features
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- **Dual-Speaker Interaction**: Contains synchronized audio and facial expression data from two speakers
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- **Role Transition**: Supports dynamic transitions between speaker and listener roles
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- **Multi-Round Conversations**: Provides continuous multi-round conversation data
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- **High-Quality Annotations**: Includes precise FLAME parameters and audio features
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- **Diverse Scenarios**: Covers various conversation scenarios and emotional expressions
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## π Dataset Structure
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```
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DualTalk_Dataset/
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βββ train/
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β βββ xxx_speaker1.wav # Speaker 1 audio files
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β βββ xxx_speaker1.npz # Speaker 1 FLAME parameters
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β βββ xxx_speaker2.wav # Speaker 2 audio files
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β βββ xxx_speaker2.npz # Speaker 2 FLAME parameters
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β βββ ...
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βββ test/
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β βββ xxx_speaker1.wav
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β βββ xxx_speaker1.npz
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β βββ xxx_speaker2.wav
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β βββ xxx_speaker2.npz
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β βββ ...
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βββ ood/ # Out-of-distribution test data
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βββ xxx_speaker1.wav
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βββ xxx_speaker1.npz
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βββ xxx_speaker2.wav
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βββ xxx_speaker2.npz
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βββ ...
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```
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## π Citation
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If you use the DualTalk dataset, please cite our paper:
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```bibtex
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@inproceedings{peng2025dualtalk,
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title={Dualtalk: Dual-speaker interaction for 3d talking head conversations},
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author={Peng, Ziqiao and Fan, Yanbo and Wu, Haoyu and Wang, Xuan and Liu, Hongyan and He, Jun and Fan, Zhaoxin},
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booktitle={Proceedings of the Computer Vision and Pattern Recognition Conference},
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pages={21055--21064},
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year={2025}
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}
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```
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## π License
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This dataset is derived from the [RealTalk dataset](https://huggingface.co/datasets/scottgeng00/realtalk) and is licensed under **Apache 2.0**.
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**Apache 2.0 License**: This license allows you to use, modify, and distribute the dataset for both commercial and non-commercial purposes, with proper attribution and license inclusion.
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For the complete license text, please see: [Apache 2.0 License](https://opensource.org/licenses/Apache-2.0)
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ood.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:c60322b8f8f64dc6c34f56ae94654cf41b141d880b5df4882d3b1e52585442d1
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size 1311396986
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test.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:2c50cbc57daf20745cddb075f14348a599c37ab3a496f5d1e4457d69932f442e
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size 1825164512
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train.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:48a421dccc83c4c2174342e5e85312ee01adbf4b6d0bd5b9e320afbbd7c47b1f
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size 16682204269
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