---
title: CCVG
canonical_url: "https://www.modelscope.cn/datasets/ZhitianHou/CCVG"
md_url: "https://www.modelscope.cn/datasets/ZhitianHou/CCVG.md"
repository: ZhitianHou/CCVG
chinese_name: "中文裁判文书法院观点数据集"
last_updated: 2025-12-14
license: apache-2.0
storage_size: "2.5 MB"
downloads: 375
stars: 1
---

# CCVG

> CCVG - ZhitianHou 在 ModelScope 开源的数据集。CCVG: Chinese Court View Generation Dataset

ZhitianHou/CCVG 是 ModelScope 魔搭社区上的数据集，存储大小 2.5 MB，采用 apache-2.0 许可。

- **Repository**: ZhitianHou/CCVG
- **License**: apache-2.0
- **Storage size**: 2.5 MB
- **Downloads**: 375
- **Stars**: 1
- **Last updated**: 2025-12-14

Source: https://www.modelscope.cn/datasets/ZhitianHou/CCVG

---

# CCVG: Chinese Court View Generation Dataset

[中文](README_zh.md) | 🤗 [huggingface](https://huggingface.co/datasets/TIM0927/CCVG) | 🤖 [modelscope](https://www.modelscope.cn/datasets/ZhitianHou/CCVG) | 📄 [Arxiv](https://arxiv.org/abs/2510.09297) | 💻 [GitHub](https://github.com/ZhitianHou/ShiZhi)

**Now the anonymous test data has been released.**

For privacy protection reasons, the original training data has been removed pending de-identification and anonymization. Only some examples of training data are avaiable.

**CCVG** is a curated Chinese dataset designed for **Criminal Court View Generation (CVG)** and **charge prediction** tasks.  
It contains criminal case documents with **fact descriptions** and **court views**, supporting research in legal AI and natural language generation.

---

## Dataset Overview

- **Language:** Chinese  
- **Domain:** Legal / Criminal law  
- **Task:** Court View Generation & Charge Prediction  
- **Size:** 110K+ criminal cases  
- **Time Span:** 1985–2021  

Each case contains:  
1. **system**: The system prompt we used in Training.
2. **query:** The "Fact" section summarying the case fact in legal case documents.  
3. **response:** The "Court View" section explaining the judgment in legal case documents.  
4. **charge:** The criminal charge corresponding to the case.  



## Citation

If you find this project helpful, please consider citing our paper:

```bibtex
@misc{hou2025shizhichineselightweightlarge,
      title={ShiZhi: A Chinese Lightweight Large Language Model for Court View Generation}, 
      author={Zhitian Hou and Kun Zeng},
      year={2025},
      eprint={2510.09297},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2510.09297}, 
}
```