AV-TAU / README.md
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---
tags:
- traffic
language:
- en
task_categories:
- question-answering
license: other
---
# AV-TAU Dataset
## Overview
The **AV-TAU Dataset** is developed for advancing research in traffic anomaly understanding and reasoning.
It provides carefully annotated question–answer pairs in English, aligned with corresponding video data, and is intended **exclusively for academic and educational use**.
---
## Related Publication
🔗 [EchoTraffic: Enhancing Traffic Anomaly Understanding with Audio-Visual Insights (CVPR 2025)](https://openaccess.thecvf.com/content/CVPR2025/papers/Xing_EchoTraffic_Enhancing_Traffic_Anomaly_Understanding_with_Audio-Visual_Insights_CVPR_2025_paper.pdf)
---
## ⚠️ Usage Restrictions (Academic Use Only)
Access to this dataset is **gated**.
To obtain access, researchers must complete the following steps:
1. **Download and sign the Academic Use License Agreement**
- The full license text is provided in the [LICENSE](https://github.com/HarryHsing/EchoTraffic/blob/main/LICENSE.pdf) file.
- Print or digitally sign the document.
2. **Send the signed agreement**
- Email the signed copy to:
📧 harryhsing@outlook.com
3. **Wait for approval**
- Your Hugging Face access request will only be approved once we confirm receipt of your signed agreement.
- Requests without a signed agreement will be rejected.
---
## Citation
If you use this dataset in your research, please cite it as:
```bibtex
@InProceedings{Xing_2025_CVPR,
author = {Xing, Zhenghao and Chen, Hao and Xie, Binzhu and Xu, Jiaqi and Guo, Ziyu and Xu, Xuemiao and Hao, Jianye and Fu, Chi-Wing and Hu, Xiaowei and Heng, Pheng-Ann},
title = {EchoTraffic: Enhancing Traffic Anomaly Understanding with Audio-Visual Insights},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2025},
pages = {19098-19108}
}
```
---
## Contact
For questions or special access requests, please contact:
📧 harryhsing@outlook.com