| --- |
| 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. |
|
|
