metadata

language:
  - fr
pretty_name: French version of ECtHR dataset
task_categories:
  - text-classification

French European Court of Human Rights Dataset

Description

The European Court of Human Rights (ECtHR) adjudicates claims concerning infringements on human rights provisions outlined in the European Convention on Human Rights (ECHR) by European states. The Convention can be accessed at https://www.echr.coe.int/Documents/Convention_ENG.pdf. The dataset construction followed the methodology of Chalkidis et al. (2019), but focused on decisions available in French. This dataset is a multi-label text classification dataset, aiming to predict the violation of one of the ten most violated articles based on given facts.

Dataset Details

Features : ['facts', '10', '11', '13', '14', '2', '3', '5', '6', '8', 'p1-1']
Train: 7756
Dev: 862
Test: 957

Usage

You can download this dataset with the "datasets" library. Here's an example of how to load and use it in Python:

from datasets import load_dataset
dataset = load_dataset("audibeal/fr-echr")

Cite

If you use this dataset in the context of a publication, please cite:

Jargon: A Suite of Language Models and Evaluation Tasks for French Specialized Domains
Vincent Segonne, Aidan Mannion, Laura Cristina Alonzo Canul, Alexandre Audibert, Xingyu Liu, Cécile Macaire, Adrien Pupier, Yongxin Zhou, Mathilde Aguiar, Felix Herron, Magali Norré, Massih-Reza Amini, Pierrette Bouillon, Iris Eshkol-Taravella, Emmanuelle Esperança-Rodier, Thomas François, Lorraine Goeuriot, Jérôme Goulian, Mathieu Lafourcade, Benjamin Lecouteux, François Portet, Fabien Ringeval, Vincent Vandeghinste, Maximin Coavoux, Marco Dinarelli and Didier Schwab  
To appear at LREC-COLING 2024