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