language:
- zh
license: cc-by-nc-4.0
size_categories:
- 100K<n<1M
tags:
- sign-language
- pose
task_categories:
- video-text-to-text
Summary
This is the pose format dataset proposed in our paper "Uni-Sign: Toward Unified Sign Language Understanding at Scale". 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
Download
Please refer to download script to download CSL_News.
You can also download each file by wget
, for instance:
wget https://huggingface.co/datasets/ZechengLi19/CSL-News_pose/resolve/main/archive_001.zip
wget https://huggingface.co/datasets/ZechengLi19/CSL-News_pose/resolve/main/archive_002.zip
wget https://huggingface.co/datasets/ZechengLi19/CSL-News_pose/resolve/main/archive_003.zip
...
Usage
You can unzip each archive_*.zip
file by unzip
, for instance:
unzip -j archive_001.zip -d ./CSL_News/pose_format
unzip -j archive_002.zip -d ./CSL_News/pose_format
unzip -j archive_003.zip -d ./CSL_News/pose_format
...
Each zip file contains multiple pickle files. Each pickle file stores a dictionary containing the keys: keypoints
, scores
, and w_h
.
CSL_News_Labels.json
and CSL_News_Labels.csv
contains the text-annotations for CSL-News. They can easily be read by
# 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
The RGB format CSL-News dataset can be found here.
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}
}