Update README.md

README.md

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-license: cc-by-nc-sa-4.0
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+---
+license: cc-by-nc-sa-4.0
+---
+
+# FVQ-20K Dataset
+## Overview
+- FVQ-20K is an in-the-wild face video quality assessment (FVQA) dataset, which contains 20,000 face videos with MOS annotations.
+<br>
+- FVQ-20K dataset is divided into 
+
+
+## Data Structure
+```
+FVQ-20K
+│
+├── train
+│   ├── labels.txt
+│   └── videos
+│        ├── *.mp4
+│        └── ...
+├── val
+│   ├── labels.txt
+│   └── videos
+│        ├── *.mp4
+│        └── ...
+└── test
+    ├── labels.txt
+    └── videos
+         ├── *.mp4
+         └── ...
+
+• labels.txt contains video names and their corresponding MOS scores (ranging from 0 to 100).
+```
+
+## Citation
+If you use this dataset, please consider citing
+```
+@article{wu2025fvq,
+  title={FVQ: A Large-Scale Dataset and A LMM-based Method for Face Video Quality Assessment},
+  author={Wu, Sijing and Li, Yunhao and Xu, Ziwen and Gao, Yixuan and Duan, Huiyu and Sun, Wei and Zhai, Guangtao},
+  journal={arXiv preprint arXiv:2504.09255},
+  year={2025}
+}
+```
+
+## Contact
+- Sijing Wu [(wusijing@sjtu.edu.cn)](wusijing@sjtu.edu.cn)