metadata

annotations_creators:
  - machine-generated
language_creators:
  - expert-generated
languages:
  - ca
licenses:
  - cc-by-nc-4.0
multilinguality:
  - monolingual
pretty_name: casum
size_categories:
  - unknown
source_datasets: []
task_categories:
  - conditional-text-generation
task_ids:
  - summarization

VilaSum

Dataset Description

Paper: Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? A Comprehensive Assessment for Catalan
Point of Contact: Ona de Gibert Bonet (ona.degibert@bsc.es)

Dataset Summary

VilaSum is a summarization dataset for evaluation. It is extracted from a newswire corpus crawled from Vilaweb. The corpus consists of 13,843 instances that are composed by the headline and the body.

Supported Tasks and Leaderboards

Summarization, Language Model

Languages

CA - Catalan

Dataset Structure

Data Instances

One file containing the text of the article and the the summary in jsonlines format.

Data Splits

We split our dataset into train, dev and test splits

train: 197,735 examples
validation: 10,000 examples
test: 10,000 examples

Dataset Creation

Methodology

We obtained each headline and its corresponding body and applied the following cleaning pipeline: deduplicating the documents, removing the documents with empty attributes, and deleting some boilerplate sentences.

Additional Information

Dataset Curators

Ona de Gibert and Jordi Armengol-Estapé, from BSC-CNS, did the conversion and curation.