metadata

language:
  - fr
  - de
  - en
  - it
  - nl
  - el
  - da
  - pt
  - es
  - sv
  - fi
  - lt
  - et
  - cs
  - hu
  - lv
  - sl
  - pl
  - mt
  - sk
  - ro
  - bg
  - hr
  - ga
license: mit
size_categories:
  - 100K<n<1M
pretty_name: Europa Random Split
dataset_info:
  features:
    - name: celex_id
      dtype: string
    - name: lang
      dtype: string
    - name: input_text
      dtype: string
    - name: keyphrases
      sequence: string
  splits:
    - name: train
      num_bytes: 6405779590
      num_examples: 159306
    - name: valid
      num_bytes: 2182262528
      num_examples: 53943
    - name: test
      num_bytes: 2853853947
      num_examples: 71708
  download_size: 5183354316
  dataset_size: 11441896065
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: valid
        path: data/valid-*
      - split: test
        path: data/test-*
tags:
  - keyphrase-generation
  - text-to-text
  - legal

Dataset Card for EUROPA

This dataset card aims to be a base template for new datasets. It has been generated using this raw template.

Dataset Details

Dataset Description

EUROPA is a dataset designed for training and evaluating multilingual keyphrase generation models in the legal domain. It consists of legal judgments from the Court of Justice of the European Union (EU) and includes instances in all 24 official EU languages.

Key Features: Multilingual: Covers 24 official EU languages. Domain-Specific: Focuses on legal documents. Source: Derived from Court of Justice of the European Union judgments.

Curated by: N3 team
Languages: French, German, English, Italian, Dutch, Greek, Danish, Portuguese, Spanish, Swedish, Finnish, Lithuanian, Estonian, Czech, Hungarian, Latvian, Slovenian, Polish, Maltese, Slovak, Romanian, Bulgarian, Croatian, Irish
License: MIT License

Dataset Sources

Paper: https://arxiv.org/abs/2403.00252

Dataset Structure

celex_id: CELEX identifier inherited from CJEU. Different translated versions of the same judgment share the same celex_id. If you wish to have a unique identifier for each instance, you can concatenate lang and celex_id values;
lang: ISO 639-1 language code;
input: judgment transcription or translation;
keyphrases: reference keyphrases drafted by the CJEU.

This page presents an randomly split version of the dataset, thus allowing all sets to have the same distribution in terms of vocabulary and languages. More details can be found in Appendix H of our paper.

training set: 159 306 instances;
validation set: 53 943 instances;
test set: 71 708 instances.

Citation

@article{salaun2024europa,
  title={EUROPA: A Legal Multilingual Keyphrase Generation Dataset},
  author={Sala{\"u}n, Olivier and Piedboeuf, Fr{\'e}d{\'e}ric and Le Berre, Guillaume and Hermelo, David Alfonso and Langlais, Philippe},
  journal={arXiv preprint arXiv:2403.00252},
  year={2024}
}