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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:
  - summarization
task_ids:
  - summarization

VilaSum

Table of Contents

Dataset Description

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

{
  'summary': 'Un vídeo corrobora les agressions a dues animalistes en un correbou del Mas de Barberans',
  'text': 'Noves imatges, a les quals ha tingut accés l'ACN, certifiquen les agressions i la destrucció del material d'enregistrament que han denunciat dues activistes d'AnimaNaturalis en la celebració d'un acte de bous a la plaça al Mas de Barberans (Montsià). En el vídeo es veu com unes quantes persones s'abalancen sobre les noies que reben estirades i cops mentre els intenten prendre les càmeres. Membres de la comissió taurina intervenen per aturar els presumptes agressors però es pot escoltar com part del públic victoreja la situació. Els Mossos d'Esquadra presentaran aquest dilluns al migdia l'atestat dels fets al Jutjat d'Amposta. Dissabte ja es van detenir quatre persones que van quedar en llibertat a l'espera de ser cridats pel jutge. Es tracta de tres homes i una dona de Sant Carles de la Ràpita, tots ells membres de la mateixa família.'
}

Data Fields

  • summary (str): Summary of the piece of news
  • text (str): The text of the piece of news

Data Splits

We split our dataset into train, dev and test splits

  • test: 13,843 examples

Dataset Creation

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, Jordi Armengol-Estapé and Maite Melero, from BSC-CNS, did the conversion and curation.

Licensing information

This work is licensed under a Attribution-NonCommercial 4.0 International License.

BibTeX citation

If you use any of these resources (datasets or models) in your work, please cite our latest preprint:

@misc{degibert2022sequencetosequence,
      title={Sequence-to-Sequence Resources for Catalan}, 
      author={Ona de Gibert and Ksenia Kharitonova and Blanca Calvo Figueras and Jordi Armengol-Estapé and Maite Melero},
      year={2022},
      eprint={2202.06871},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

Funding

This work was funded by the MT4All CEF project and the Catalan Ministry of the Vice-presidency, Digital Policies and Territory within the framework of the Aina project.