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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:
  - conditional-text-generation
task_ids:
  - summarization

CaSum

Dataset Description

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

One file per split, 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.

Licensing information

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

Citation Information

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DOI

Funding

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