README.md

metadata

annotations_creators:
  - no-annotation
language_creators:
  - found
language:
  - en
license:
  - cc-by-nc-sa-4.0
multilinguality:
  - monolingual
size_categories:
  - 1K<n<10K
source_datasets:
  - extended
task_categories:
  - text-generation
  - fill-mask
task_ids:
  - masked-language-modeling
pretty_name: LegalLAMA
configs:
  - canadian_sections
  - cjeu_terms
  - contract_sections
  - contract_types
  - ecthr_articles
  - ecthr_terms
  - us_crimes
  - us_terms

Dataset Card for "LegalLAMA"

Table of Contents

• Dataset Description
  • Dataset Summary
  • Dataset Specifications

Dataset Description

• Homepage: https://github.com/coastalcph/lexlms
• Repository: https://github.com/coastalcph/lexlms
• Paper: https://arxiv.org/abs/2305.07507
• Point of Contact: Ilias Chalkidis

Dataset Summary

LegalLAMA is a diverse probing benchmark suite comprising 8 sub-tasks that aims to assess the acquaintance of legal knowledge that PLMs acquired in pre-training.

Dataset Specifications

Corpus	Corpus alias	Examples	Avg. Tokens	Labels
Criminal Code Sections (Canada)	canadian_sections	321	72	144
Legal Terminology (EU)	cjeu_term	2,127	164	23
Contractual Section Titles (US)	contract_sections	1,527	85	20
Contract Types (US)	contract_types	1,089	150	15
ECHR Articles (CoE)	ecthr_articles	5,072	69	13
Legal Terminology (CoE)	ecthr_terms	6,803	97	250
Crime Charges (US)	us_crimes	4,518	118	59
Legal Terminology (US)	us_terms	5,829	308	7

Citation

Ilias Chalkidis*, Nicolas Garneau*, Catalina E.C. Goanta, Daniel Martin Katz, and Anders Søgaard. LeXFiles and LegalLAMA: Facilitating English Multinational Legal Language Model Development. 2022. In the Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics. Toronto, Canada.

@inproceedings{chalkidis-garneau-etal-2023-lexlms,
    title = {{LeXFiles and LegalLAMA: Facilitating English Multinational Legal Language Model Development}},
    author = "Chalkidis*, Ilias and 
              Garneau*, Nicolas and
              Goanta, Catalina and 
              Katz, Daniel Martin and 
              Søgaard, Anders",
    booktitle = "Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics",
    month = june,
    year = "2023",
    address = "Toronto, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://arxiv.org/abs/2305.07507",
}