# DualTalk Dataset [![Hugging Face Datasets](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Datasets-yellow)](https://huggingface.co/datasets/ZiqiaoPeng/DualTalk_Dataset) [![Paper](https://img.shields.io/badge/Paper-CVPR%202025-blue)](https://arxiv.org/abs/2505.18096) [![Project Page](https://img.shields.io/badge/Project%20Page-Website-green)](https://ziqiaopeng.github.io/dualtalk/) [![License](https://img.shields.io/badge/License-Apache%202.0-green.svg)](https://opensource.org/licenses/Apache-2.0) ## 📖 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 ## 📁 Dataset Structure ``` DualTalk_Dataset/ ├── train/ │ ├── xxx_speaker1.wav # Speaker 1 audio files │ ├── xxx_speaker1.npz # Speaker 1 FLAME parameters │ ├── xxx_speaker2.wav # Speaker 2 audio files │ ├── xxx_speaker2.npz # Speaker 2 FLAME parameters │ └── ... ├── test/ │ ├── xxx_speaker1.wav │ ├── xxx_speaker1.npz │ ├── xxx_speaker2.wav │ ├── xxx_speaker2.npz │ └── ... └── ood/ # Out-of-distribution test data ├── xxx_speaker1.wav ├── xxx_speaker1.npz ├── xxx_speaker2.wav ├── xxx_speaker2.npz └── ... ``` ## 📄 Citation If you use the DualTalk dataset, please cite our paper: ```bibtex @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} } ``` ## 📄 License This dataset is derived from the [RealTalk dataset](https://huggingface.co/datasets/scottgeng00/realtalk) 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](https://opensource.org/licenses/Apache-2.0)