Enhance dataset card: add metadata, paper link, GitHub link, and fix bibtex format

#2
by nielsr HF Staff - opened
Files changed (1) hide show
  1. README.md +13 -4
README.md CHANGED
@@ -1,10 +1,20 @@
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  ---
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  license: apache-2.0
 
 
 
 
 
 
 
 
 
 
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  ---
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  # CCVG: Chinese Court View Generation Dataset
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- 🤗 [huggingface](https://huggingface.co/datasets/TIM0927/CCVG) | 🤖[modelscope](https://www.modelscope.cn/datasets/ZhitianHou/CCVG)
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  **CCVG** is a curated Chinese dataset designed for **Criminal Court View Generation (CVG)** and **charge prediction** tasks.
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  It contains criminal case documents with **fact descriptions** and **court views**, supporting research in legal AI and natural language generation.
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  If you find this project helpful, please consider citing our paper:
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- ```bibtet
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  @misc{hou2025shizhichineselightweightlarge,
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  title={ShiZhi: A Chinese Lightweight Large Language Model for Court View Generation},
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  author={Zhitian Hou and Kun Zeng},
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  primaryClass={cs.CL},
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  url={https://arxiv.org/abs/2510.09297},
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  }
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- ```
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-
 
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  ---
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  license: apache-2.0
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+ task_categories:
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+ - text-generation
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+ - text-classification
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+ language:
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+ - zh
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+ tags:
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+ - legal
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+ - chinese
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+ - court-view-generation
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+ - charge-prediction
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  ---
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  # CCVG: Chinese Court View Generation Dataset
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+ 🤗 [huggingface](https://huggingface.co/datasets/TIM0927/CCVG) | 🤖[modelscope](https://www.modelscope.cn/datasets/ZhitianHou/CCVG) | \ud83d\udcc4 [Paper](https://huggingface.co/papers/2510.09297) | \ud83d\udcbb [Code](https://github.com/ZhitianHou/ShiZhi)
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  **CCVG** is a curated Chinese dataset designed for **Criminal Court View Generation (CVG)** and **charge prediction** tasks.
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  It contains criminal case documents with **fact descriptions** and **court views**, supporting research in legal AI and natural language generation.
 
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  If you find this project helpful, please consider citing our paper:
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+ ```bibtex
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  @misc{hou2025shizhichineselightweightlarge,
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  title={ShiZhi: A Chinese Lightweight Large Language Model for Court View Generation},
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  author={Zhitian Hou and Kun Zeng},
 
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  primaryClass={cs.CL},
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  url={https://arxiv.org/abs/2510.09297},
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  }
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+ ```