---
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](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).

## 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}
}
```