lawcompany/KLAID

---
pretty_name: KLAID
viewer: true
language: ko
multilinguality:
- monolingual
license: cc-by-nc-nd-4.0
task_categories:
- text-classification
task_ids:
- multi-class-classification
---
# Dataset Card for KLAID
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
- [Curation Rationale](#curation-rationale)
- [Source Data](#source-data)
- [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
- [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
- [Other Inquiries](#other_inquiries)
- [Licensing Information](#licensing-information)
- [Contributions](#contributions)
## Dataset Description
- **Homepage:** [https://klaid.net](https://klaid.net)
- **Leaderboard:** [https://klaid.net](https://klaid.net)
- **Point of Contact:** [[e-mail]]([e-mail])
### Dataset Summary
Korean Legal Artificial Intelligence Datasets(KLAID) is a dataset for the development of Korean legal artificial intelligence technology. This time we offer 1 task, which is legal judgment prediction(LJP).
### Supported Tasks and Leaderboards
Legal Judgment Prediction(LJP)
### Languages
`korean`
### How to use
```python
from datasets import load_dataset
# legal judgment prediction
dataset = load_dataset("lawcompany/KLAID", 'ljp')
```
## Dataset Structure
### Data Instances
#### ljp
An example of 'train' looks as follows.
```
{
'fact': '피고인은 2022. 11. 14. 혈중알콜농도 0.123%의 술에 취한 상태로 승용차를 운전하였다.',
'laws_service': '도로교통법 제148조의2 제3항 제2호,도로교통법 제44조 제1항',
'laws_service_id': 7
}
```
Other References
You can refer to each label's 'laws service content' [here](https://storage.googleapis.com/klaid/ljp/dataset/ljp_laws_service_content.json).
'Laws service content' is the statute([source](https://www.law.go.kr/)) corresponding to each label.

### Data Fields
#### ljp
+ "fact": a `string` feature
+ "laws_service": a `string` feature
+ "laws_service_id": a classification label, with 177 legal judgment values

[More Information Needed](https://klaid.net/tasks-1)
### Data Splits
#### ljp
+ train: 161,192
## Dataset Creation
### Curation Rationale
The legal domain is arguably one of the most expertise fields that require expert knowledge to comprehend. Natural language processing requires many aspects, and we focus on the dataset requirements. As a gold standard is necessary for the testing and the training of a neural model, we hope that our dataset release will help the advances in natural language processing in the legal domain, especially for those for the Korean legal system.
### Source Data
These are datasets based on Korean legal case data.
### Personal and Sensitive Information
Due to the nature of legal case data, personal and sensitive information may be included. Therefore, in order to prevent problems that may occur with personal and sensitive information, we proceeded to de-realize the legal case.
## Considerations for Using the Data
### Other Known Limitations
We plan to upload more data and update them as some of the court records may be revised from now on, based on the ever-evolving legal system.
## Additional Information
### Other Inquiries
[[e-mail]]([e-mail])
### Licensing Information
Copyright 2022-present [Law&Company Co. Ltd.](https://career.lawcompany.co.kr/)

Licensed under the CC-BY-NC-ND-4.0
### Contributions
[More Information Needed]

原始信息汇总

数据集概述

数据集描述

• 名称: KLAID
• 语言: 韩语
• 许可: CC-BY-NC-ND-4.0
• 任务类别: 文本分类
• 任务ID: 多类分类

数据集总结

Korean Legal Artificial Intelligence Datasets(KLAID) 是一个用于开发韩语法律人工智能技术的数据集。本次提供1个任务，即法律判决预测(LJP)。

支持的任务和排行榜

• 法律判决预测(LJP)

语言

• 韩语

数据集结构

数据实例

LJP

• 示例:

  { fact: 피고인은 2022. 11. 14. 혈중알콜농도 0.123%의 술에 취한 상태로 승용차를 운전하였다., laws_service: 도로교통법 제148조의2 제3항 제2호,도로교통법 제44조 제1항, laws_service_id: 7 }

数据字段

LJP

• "fact": 字符串类型
• "laws_service": 字符串类型
• "laws_service_id": 分类标签，共177个法律判决值

数据分割

LJP

• 训练集: 161,192

数据集创建

精选理由

法律领域是需要专家知识的最专业领域之一。自然语言处理需要多方面的数据支持，我们专注于满足这些需求。为了测试和训练神经模型，黄金标准是必要的，我们希望我们的数据集发布能帮助自然语言处理在法律领域，特别是韩语法律系统中的进步。

源数据

基于韩语法律案例数据构建的数据集。

个人和敏感信息

由于法律案例数据的性质，可能包含个人和敏感信息。为了防止可能出现的问题，我们对法律案例进行了去真实化处理。

使用数据的考虑

其他已知限制

计划上传更多数据并进行更新，因为一些法院记录可能会根据不断发展的法律系统进行修订。