Buckets:
1.77 GB
32 files
Updated about 2 months ago
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| Name | Size | Uploaded | Xet hash |
|---|---|---|---|
| casename_classification | 4 items | ||
| casename_classification_plus | 3 items | ||
| legal_judgement_prediction | 8 items | ||
| precedent_corpus | 1 items | ||
| statute_classification | 4 items | ||
| statute_classification_plus | 3 items | ||
| summarization | 3 items | ||
| summarization_plus | 3 items | ||
| .gitattributes | 1.61 kB xet | c5f51bfd | |
| LICENSE | 19.3 kB xet | 77b74cda | |
| README.md | 3.74 kB xet | 2e8f9b3d |
Dataset Card for lbox_open
Dataset Description
- Homepage:
https://lbox.kr - Repository:
https://github.com/lbox-kr/lbox_open - Point of Contact: Wonseok Hwang
Dataset Summary
A Legal AI Benchmark Dataset from Korean Legal Cases.
Languages
Korean
How to use
from datasets import load_dataset
# casename classficiation task
data_cn = load_dataset("lbox/lbox_open", "casename_classification")
data_cn_plus = load_dataset("lbox/lbox_open", "casename_classification_plus")
# statutes classification task
data_st = load_dataset("lbox/lbox_open", "statute_classification")
data_st_plus = load_dataset("lbox/lbox_open", "statute_classification_plus")
# Legal judgement prediction tasks
data_ljp_criminal = load_dataset("lbox/lbox_open", "ljp_criminal")
data_ljp_civil = load_dataset("lbox/lbox_open", "ljp_civil")
# case summarization task
data_summ = load_dataset("lbox/lbox_open", "summarization")
data_summ_plus = load_dataset("lbox/lbox_open", "summarization_plus")
# precedent corpus
data_corpus = load_dataset("lbox/lbox_open", "precedent_corpus")
For more information about the dataset, please visit https://github.com/lbox-kr/lbox_open.
Licensing Information
Copyright 2022-present LBox Co. Ltd.
Licensed under the CC BY-NC 4.0
- Total size
- 1.77 GB
- Files
- 32
- Last updated
- Jun 6
- Pre-warmed CDN
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