masifan/CSL-News
收藏资源简介：
--- language: - zh license: cc-by-nc-4.0 tags: - sign-language task_categories: - video-text-to-text --- # 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/blob/main/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/CSL-News/resolve/main/archive_001.zip wget https://huggingface.co/datasets/ZechengLi19/CSL-News/resolve/main/archive_002.zip wget https://huggingface.co/datasets/ZechengLi19/CSL-News/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/rgb_format unzip -j archive_002.zip -d ./CSL_News/rgb_format unzip -j archive_003.zip -d ./CSL_News/rgb_format ... ``` ``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 pose format. Please refer to [**here**](https://huggingface.co/datasets/ZechengLi19/CSL-News_pose). # 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} } ```
--- 语言： - 中文（zh） 许可协议：CC-BY-NC-4.0 标签： - 手语（sign-language） 任务类别： - 视频-文本到文本（video-text-to-text） --- # 概述 本数据集源自论文《**Uni-Sign：面向大规模统一手语理解**》（链接：https://arxiv.org/abs/2501.15187）。CSL-News是一款大规模中文手语数据集，旨在助力鲁棒性手语理解模型的研发。 **代码仓库**：[https://github.com/ZechengLi19/Uni-Sign](https://github.com/ZechengLi19/Uni-Sign) # 下载 请参照[下载脚本](https://github.com/ZechengLi19/Uni-Sign/blob/main/download_scripts/download_CSL_News.py)获取CSL-News数据集。您也可通过`wget`命令单独下载各文件，示例如下： wget https://huggingface.co/datasets/ZechengLi19/CSL-News/resolve/main/archive_001.zip wget https://huggingface.co/datasets/ZechengLi19/CSL-News/resolve/main/archive_002.zip wget https://huggingface.co/datasets/ZechengLi19/CSL-News/resolve/main/archive_003.zip ... # 使用方法 您可通过`unzip`命令解压各`archive_*.zip`压缩包，示例如下： unzip -j archive_001.zip -d ./CSL_News/rgb_format unzip -j archive_002.zip -d ./CSL_News/rgb_format unzip -j archive_003.zip -d ./CSL_News/rgb_format ... `CSL_News_Labels.json`与`CSL_News_Labels.csv`包含了CSL-News的文本标注信息，可通过以下代码轻松读取： python # 读取CSL_News_Labels.json import json with open('CSL_News_Labels.json', 'r', encoding='utf-8') as f: data = json.load(f) # 读取CSL_News_Labels.csv import pandas data = pandas.read_csv("CSL_News_Labels.csv") # 其他数据格式 我们还提供了姿态格式的CSL-News数据集，请参阅[此处](https://huggingface.co/datasets/ZechengLi19/CSL-News_pose)。 # 许可协议 CSL-News采用CC-BY-NC-4.0许可协议发布。本数据集内的视频样本均采集自公开网络视频，使用者必须确保对这些视频样本的使用严格遵循非商业性原则。 # 为何采用非商业许可？ CSL-News中的视频样本来源于网络公开视频，其版权归原内容创作者所有。尽管本数据集以CC-BY-NC-4.0许可协议提供，仅用于研究目的，但对这些视频的商业使用可能会侵犯原创作者的合法权益。为尊重其权益并确保伦理合规使用，我们对CSL-News严格执行非商业使用政策。 # 引用格式 @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} }
