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DualTalk Dataset

Hugging Face Datasets Paper Project Page License

πŸ“– Overview

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.

🎯 Dataset Features

  • Dual-Speaker Interaction: Contains synchronized audio and facial expression data from two speakers
  • Role Transition: Supports dynamic transitions between speaker and listener roles
  • Multi-Round Conversations: Provides continuous multi-round conversation data
  • High-Quality Annotations: Includes precise FLAME parameters and audio features
  • Diverse Scenarios: Covers various conversation scenarios and emotional expressions

πŸ“ Dataset Structure

DualTalk_Dataset/
β”œβ”€β”€ train/
β”‚   β”œβ”€β”€ xxx_speaker1.wav          # Speaker 1 audio files
β”‚   β”œβ”€β”€ xxx_speaker1.npz          # Speaker 1 FLAME parameters
β”‚   β”œβ”€β”€ xxx_speaker2.wav          # Speaker 2 audio files
β”‚   β”œβ”€β”€ xxx_speaker2.npz          # Speaker 2 FLAME parameters
β”‚   └── ...
β”œβ”€β”€ test/
β”‚   β”œβ”€β”€ xxx_speaker1.wav
β”‚   β”œβ”€β”€ xxx_speaker1.npz
β”‚   β”œβ”€β”€ xxx_speaker2.wav
β”‚   β”œβ”€β”€ xxx_speaker2.npz
β”‚   └── ...
└── ood/                          # Out-of-distribution test data
    β”œβ”€β”€ xxx_speaker1.wav
    β”œβ”€β”€ xxx_speaker1.npz
    β”œβ”€β”€ xxx_speaker2.wav
    β”œβ”€β”€ xxx_speaker2.npz
    └── ...

πŸ“„ Citation

If you use the DualTalk dataset, please cite our paper:

@inproceedings{peng2025dualtalk,
  title={Dualtalk: Dual-speaker interaction for 3d talking head conversations},
  author={Peng, Ziqiao and Fan, Yanbo and Wu, Haoyu and Wang, Xuan and Liu, Hongyan and He, Jun and Fan, Zhaoxin},
  booktitle={Proceedings of the Computer Vision and Pattern Recognition Conference},
  pages={21055--21064},
  year={2025}
}

πŸ“„ License

This dataset is derived from the RealTalk dataset and is licensed under Apache 2.0.

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.

For the complete license text, please see: Apache 2.0 License