Update README.md

Add some readme, CSL-News dataset is still under construction.

README.md

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----
-license: cc-by-nc-4.0
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+---
+license: cc-by-nc-4.0
+---
+
+# Summary
+This is the dataset proposed in our paper "[**Uni-Sign: Toward Unified Sign Language Understanding at Scale**](https://arxiv.org/abs/2501.15187)".
+CSL-News is a large-scale Chinese Sign Language dataset designed for developing robust sign language understanding models.
+
+**Code**: [https://github.com/ZechengLi19/Uni-Sign](https://github.com/ZechengLi19/Uni-Sign)
+
+# Download
+<!-- Please refer to [**download script**](https://github.com/ZechengLi19/Uni-Sign/download_scripts/download_CSL_News.py) to download CSL_News.  -->
+You can also download each file by ```wget```, for instance:
+```
+wget https://huggingface.co/datasets/ZechengLi19/rgb-dataset/main/archive_001.zip
+wget https://huggingface.co/datasets/ZechengLi19/rgb-dataset/main/archive_002.zip
+wget https://huggingface.co/datasets/ZechengLi19/rgb-dataset/main/archive_003.zip
+...
+```
+
+# Usage
+You can unzip each archive_*.zip file by ```unzip```, for instance:
+```
+unzip -j archive_001.zip -d ./CSL_News
+unzip -j archive_002.zip -d ./CSL_News
+unzip -j archive_003.zip -d ./CSL_News
+...
+```
+
+``CSL_News_Labels.json`` and ``CSL_News_Labels.csv`` contains the text-annotations for CSL-News. They can easily be read by
+```python
+# Read CSL_News_Labels.json
+import json
+with open('CSL_News_Labels.json', 'r', encoding='utf-8') as f:
+    data = json.load(f)
+# Read CSL_News_Labels.csv
+import pandas
+data = pandas.read_csv("CSL_News_Labels.csv")
+```
+
+# Other format
+We also provide the CSL-News dataset in a pre-extracted pose format. Please refer to [**here**](https://huggingface.co/datasets/ZechengLi19/CSL-News).
+
+# License
+CSL-News is released under the CC-BY-NC-4.0 license. The video samples in this dataset are collected from publicly available web videos. Users must ensure that their use of these video samples is strictly non-commercial.
+
+# Why Non-Commercial?
+The video samples in CSL-News are sourced from web videos, and their copyright belongs to the original content creators. While this dataset is provided for research purposes under the CC-BY-NC-4.0 license, commercial use of these videos may infringe upon the rights of the original creators. To respect their rights and ensure ethical use, we strictly enforce a non-commercial usage policy for CSL-News.
+
+# Citation
+```
+@article{li2025uni-sign,
+  title={Uni-Sign: Toward Unified Sign Language Understanding at Scale},
+  author={Li, Zecheng and Zhou, Wengang and Zhao, Weichao and Wu, Kepeng and Hu, Hezhen and Li, Houqiang},
+  journal={arXiv preprint arXiv:2501.15187},
+  year={2025}
+}
+```