International-Arbitration-Dataset

displayName: 国际仲裁法律、规则与实践数据集
taskTypes:
- Relation Extraction
- Information Retrieval
labelTypes:
- Text
mediaTypes:
- Text
license:
- CC BY-NC 4.0
publisher:
- Corpus Data Alliance for Foudation Model
tags: []
publishDate: '2023-11-26'
publishUrl: https://opendatalab.org.cn/
paperUrl: ''

---
## 简介

收录了全球100多个国家仲裁法律文本、23个权威仲裁机构的仲裁规则、49个各级法院、多时间跨度的仲裁案例，提供了丰富的仲裁相关论文、著作、大赛资料等文献。
该数据由上海仲裁委员会提供。

## 特点与优势

**全面性**：覆盖全球100多个国家/地区的仲裁法律、规则、案例、论文和著作等信息。

**时效性**：定期更新，确保信息与当前法律和实践保持一致。

**可检索性**：提供清晰的目录，快速查找所需信息。

国际仲裁法律、规则与实践数据集为仲裁领域和大模型研究领域专业人士和学者提供了一个宝贵的知识数据，可以用于大语言模型研究与应用，提高模型在仲裁领域的表现和泛化能力。

## 数据已上架，欢迎大家下载。
## Download dataset
:modelscope-code[]{type="git"}

displayName: International Arbitration Law, Rules and Practice Dataset
taskTypes:
- Relation Extraction
- Information Retrieval
labelTypes:
- Text
mediaTypes:
- Text
license: CC BY-NC 4.0
publisher: Corpus Data Alliance for Foundation Model
tags: []
publishDate: '2023-11-26'
publishUrl: https://opendatalab.org.cn/
paperUrl: ''

---

## Introduction
This dataset collects arbitration legal texts from over 100 countries worldwide, arbitration rules of 23 authoritative arbitration institutions, arbitration cases from 49 courts at various levels spanning multiple time periods, as well as abundant literature including arbitration-related papers, monographs, and competition materials. It is provided by the Shanghai Arbitration Commission.

## Characteristics and Advantages
**Comprehensiveness**: Covers information such as arbitration laws, rules, cases, papers and monographs from over 100 countries/regions globally.
**Timeliness**: Updated regularly to ensure the information aligns with current laws and practices.
**Retrievability**: Provides clear catalogs for quick access to required information.

This International Arbitration Law, Rules and Practice Dataset serves as a valuable knowledge resource for professionals and scholars in the fields of arbitration and LLM research. It can be used for large language model research and applications to improve the model's performance and generalization ability in the arbitration domain.

The dataset is now available, welcome to download.
## Download dataset
:modelscope-code[]{type="git"}