README.md

---
language:
- zh
tags:
- law
- legal
- judgment-prediction
- chinese
- multi-defendant
task_categories:
- text-classification
- text-generation
pretty_name: Explainable Multidefendant Judgment Prediction (Chinese Criminal Judgments)
size_categories:
- unknown
---

# MMSI Dataset

> ⚠️ **Current status**  
> The current release of `SHerZH/IMLJP` is a **small preview subset** of the full dataset.  
> It is intended **only for visualizing the data structure and format**, and for small-scale experiments.  
> A larger / full version of the dataset may be released in the future after further cleaning, annotation checking, and privacy review.

This repository hosts a **processed dataset** used in the paper:

> *Logic-Guided Multistage Inference for Explainable Multidefendant Judgment Prediction*

The dataset consists of **Chinese criminal judgments** involving **multiple defendants**, with:

- A condensed **fact description** (`FD`),
- A **court view** (`CV`),
- And per-defendant structured labels (role, prison term, probation), stored as a list of `defendants`.

The current subset only includes cases whose main offense is **intentional injury** (Article 234 of the PRC Criminal Law).

### Data source and privacy

- Raw judgments are collected from **China Judgments Online (中国裁判文书网)**, which provides publicly available court decisions.
- We **only release processed and anonymized data**:
  - Personal names are masked (e.g. `[张某]`, `[王某1]`);
  - Highly sensitive information (ID numbers, phone numbers, exact addresses, etc.) is removed or obfuscated;
  - Only fields necessary for modeling (e.g. `FD`, `CV`, and per-defendant sentencing labels) are preserved.

The dataset is intended **solely for research and educational purposes**.  
Users **must not** attempt to re-identify any individual or link cases back to specific natural persons.

> 🇨🇳 简短中文说明：  
> 本数据集基于中国裁判文书网上公开的、以故意伤害罪为主要罪名的刑事判决书构建，  
> 对当事人姓名等信息进行了脱敏处理，仅保留建模所需的“事实摘要（FD）”、“裁判说理（CV）”及按被告人划分的量刑标签。  
> 当前版本为小规模样例集，主要用于展示数据结构和辅助复现。
---

## 1. Repository & Code

- **Code implementation** for the paper (model, training, experiments) is provided in the GitHub repository:

  👉 [GitHub: *Logic-Guided Multistage Inference for Explainable Multidefendant Judgment Prediction*](https://github.com/XuZhang29/MMSI)

The Hugging Face dataset `SHerZH/IMLJP` is mainly intended to:

1. Provide a **public example** of the data format (e.g., `FD`, `CV`, `defendants` list with per-defendant labels).
2. Help users understand how to **construct their own datasets** in the same structure based on publicly available judgments (e.g., from China Judgments Online).
3. Support **lightweight tests and visualization** of models and preprocessing pipelines.

In future, we plan to release a **larger / full dataset** version (with the same structure and the same crime category: *intentional injury*) once all ethical, privacy, and legal considerations are carefully addressed.