|
--- |
|
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 |
|
tags: |
|
- legal |
|
- law |
|
--- |
|
|
|
# Dataset Card for "LegalLAMA" |
|
|
|
## Table of Contents |
|
- [Dataset Description](#dataset-description) |
|
- [Dataset Summary](#dataset-summary) |
|
- [Dataset Specifications](#supported-tasks-and-leaderboards) |
|
|
|
## 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](mailto:[email protected]) |
|
|
|
### 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 | |
|
|
|
### Usage |
|
|
|
Load a specific sub-corpus, given the corpus alias, as presented above. |
|
|
|
```python |
|
from datasets import load_dataset |
|
dataset = load_dataset('lexlms/legal_lama', name='ecthr_terms') |
|
``` |
|
|
|
### 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.*](https://aclanthology.org/2023.acl-long.865/) |
|
``` |
|
@inproceedings{chalkidis-etal-2023-lexfiles, |
|
title = "{L}e{XF}iles and {L}egal{LAMA}: Facilitating {E}nglish Multinational Legal Language Model Development", |
|
author = "Chalkidis, Ilias and |
|
Garneau, Nicolas and |
|
Goanta, Catalina and |
|
Katz, Daniel and |
|
S{\o}gaard, Anders", |
|
booktitle = "Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)", |
|
month = jul, |
|
year = "2023", |
|
address = "Toronto, Canada", |
|
publisher = "Association for Computational Linguistics", |
|
url = "https://aclanthology.org/2023.acl-long.865", |
|
pages = "15513--15535", |
|
} |
|
|
|
``` |
