README.md

metadata

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

CaSum

Table of Contents

• Table of Contents
• Dataset Description
  • Dataset Summary
  • Supported Tasks and Leaderboards
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits
• Dataset Creation
• Additional Information
  • Dataset Curators
  • Licensing Information
  • Citation Information
  • Funding

Dataset Description

• Paper: Sequence to Sequence Resources for Catalan
• Point of Contact: Ona de Gibert Bonet

Dataset Summary

CaSum is a summarization dataset. It is extracted from a newswire corpus crawled from the Catalan News Agency. The corpus consists of 217,735 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': 'Mapfre preveu ingressar 31.000 milions d’euros al tancament de 2018',
  'text': 'L’asseguradora llançarà la seva filial Verti al mercat dels EUA a partir de 2017 ACN Madrid.-Mapfre preveu assolir uns ingressos de 31.000 milions d'euros al tancament de 2018 i destinarà a retribuir els seus accionistes com a mínim el 50% dels beneficis del grup durant el període 2016-2018, amb una rendibilitat mitjana a l’entorn del 5%, segons ha anunciat la companyia asseguradora durant la celebració aquest divendres de la seva junta general d’accionistes. La firma asseguradora també ha avançat que llançarà la seva filial d’automoció i llar al mercat dels EUA a partir de 2017. Mapfre ha recordat durant la junta que va pagar més de 540 milions d'euros en impostos el 2015, amb una taxa impositiva efectiva del 30,4 per cent. La companyia també ha posat en marxa el Pla de Sostenibilitat 2016-2018 i el Pla de Transparència Activa, “que han de contribuir a afermar la visió de Mapfre com a asseguradora global de confiança”, segons ha informat en un comunicat.'
}

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

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