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--- |
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license: cc-by-nc-4.0 |
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language: |
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- zh |
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tags: |
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- sign-language |
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--- |
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# Summary |
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This is the dataset proposed in our paper "[**Uni-Sign: Toward Unified Sign Language Understanding at Scale**](https://arxiv.org/abs/2501.15187)". |
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CSL-News is a large-scale Chinese Sign Language dataset designed for developing robust sign language understanding models. |
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**Code**: [https://github.com/ZechengLi19/Uni-Sign](https://github.com/ZechengLi19/Uni-Sign) |
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# Download |
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Please refer to [**download script**](https://github.com/ZechengLi19/Uni-Sign/download_scripts/download_CSL_News.py) to download CSL_News. |
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You can also download each file by ```wget```, for instance: |
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``` |
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wget https://huggingface.co/datasets/ZechengLi19/CSL-News/resolve/main/archive_001.zip |
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wget https://huggingface.co/datasets/ZechengLi19/CSL-News/resolve/main/archive_002.zip |
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wget https://huggingface.co/datasets/ZechengLi19/CSL-News/resolve/main/archive_003.zip |
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... |
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``` |
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# Usage |
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You can unzip each archive_*.zip file by ```unzip```, for instance: |
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``` |
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unzip -j archive_001.zip -d ./CSL_News/rgb_format |
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unzip -j archive_002.zip -d ./CSL_News/rgb_format |
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unzip -j archive_003.zip -d ./CSL_News/rgb_format |
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... |
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``` |
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``CSL_News_Labels.json`` and ``CSL_News_Labels.csv`` contains the text-annotations for CSL-News. They can easily be read by |
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```python |
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# Read CSL_News_Labels.json |
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import json |
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with open('CSL_News_Labels.json', 'r', encoding='utf-8') as f: |
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data = json.load(f) |
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# Read CSL_News_Labels.csv |
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import pandas |
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data = pandas.read_csv("CSL_News_Labels.csv") |
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``` |
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# Other format |
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We also provide the CSL-News dataset in a pose format. Please refer to [**here**](https://huggingface.co/datasets/ZechengLi19/CSL-News_pose). |
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# License |
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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. |
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# Why Non-Commercial? |
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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. |
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# Citation |
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``` |
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@article{li2025uni-sign, |
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title={Uni-Sign: Toward Unified Sign Language Understanding at Scale}, |
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author={Li, Zecheng and Zhou, Wengang and Zhao, Weichao and Wu, Kepeng and Hu, Hezhen and Li, Houqiang}, |
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journal={arXiv preprint arXiv:2501.15187}, |
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year={2025} |
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} |
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``` |
