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Co-authored-by: zecheng <ZechengLi19@users.noreply.huggingface.co>

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+ *.7z filter=lfs diff=lfs merge=lfs -text
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+ *.mds filter=lfs diff=lfs merge=lfs -text
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+ *.mlmodel filter=lfs diff=lfs merge=lfs -text
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+ *.model filter=lfs diff=lfs merge=lfs -text
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+ *.safetensors filter=lfs diff=lfs merge=lfs -text
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+ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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+ *.tar.* filter=lfs diff=lfs merge=lfs -text
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+ *.tar filter=lfs diff=lfs merge=lfs -text
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+ *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ # Audio files - uncompressed
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+ *.pcm filter=lfs diff=lfs merge=lfs -text
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+ *.sam filter=lfs diff=lfs merge=lfs -text
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+ *.raw filter=lfs diff=lfs merge=lfs -text
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+ # Audio files - compressed
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+ *.wav filter=lfs diff=lfs merge=lfs -text
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+ *.jpeg filter=lfs diff=lfs merge=lfs -text
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+ *.webp filter=lfs diff=lfs merge=lfs -text
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+ # Video files - compressed
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+ *.mp4 filter=lfs diff=lfs merge=lfs -text
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+ *.webm filter=lfs diff=lfs merge=lfs -text
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+ data/train/CSL_News_Labels.csv filter=lfs diff=lfs merge=lfs -text
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README.md ADDED
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+ ---
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+ language:
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+ - zh
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+ license: cc-by-nc-4.0
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+ tags:
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+ - sign-language
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+ task_categories:
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+ - video-text-to-text
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+ ---
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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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+
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+ **Code**: [https://github.com/ZechengLi19/Uni-Sign](https://github.com/ZechengLi19/Uni-Sign)
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+
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+ # Download
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+ Please refer to [**download script**](https://github.com/ZechengLi19/Uni-Sign/blob/main/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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+
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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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+
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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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+
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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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+
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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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+
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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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+
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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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+ ```
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