Spanish Biomedical Crawled Corpus: A Large, Diverse Dataset for Spanish Biomedical Language Models

Casimiro Pio Carrino; Jordi Armengol-Estapé; Ona de Gibert Bonet; Asier Gutiérrez-Fandiño; Aitor Gonzalez-Agirre; Martin Krallinger; Marta Villegas

arXiv · 2109.07765

Spanish Biomedical Crawled Corpus: A Large, Diverse Dataset for Spanish Biomedical Language Models

Casimiro Pio Carrino·Jordi Armengol-Estapé·Ona de Gibert Bonet·Asier Gutiérrez-Fandiño·Aitor Gonzalez-Agirre·Martin Krallinger·Marta Villegas

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Abstract

We introduce CoWeSe (the Corpus Web Salud Espa\~nol), the largest Spanish biomedical corpus to date, consisting of 4.5GB (about 750M tokens) of clean plain text. CoWeSe is the result of a massive crawler on 3000 Spanish domains executed in 2020. The corpus is openly available and already preprocessed. CoWeSe is an important resource for biomedical and health NLP in Spanish and has already been employed to train domain-specific language models and to produce word embbedings. We released the CoWeSe corpus under a Creative Commons Attribution 4.0 International license, both in Zenodo (\url{https://zenodo.org/record/4561971\#.YTI5SnVKiEA}).

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Casimiro Pio Carrino, Jordi Armengol-Estapé, Ona de Gibert Bonet, Asier Gutiérrez-Fandiño, Aitor Gonzalez-Agirre, Martin Krallinger, Marta Villegas. 2021-09-16. Spanish Biomedical Crawled Corpus: A Large, Diverse Dataset for Spanish Biomedical Language Models. https://arxiv.org/abs/2109.07765

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