FuLG: 150B Romanian Corpus for Language Model Pretraining

Fuente: arXiv
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Autores principales: Bădoiu, Vlad-Andrei, Dumitru, Mihai-Valentin, Gherghescu, Alexandru M., Agache, Alexandru, Raiciu, Costin
Formato: Preprint
Publicado: 2024
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author Bădoiu, Vlad-Andrei
Dumitru, Mihai-Valentin
Gherghescu, Alexandru M.
Agache, Alexandru
Raiciu, Costin
author_facet Bădoiu, Vlad-Andrei
Dumitru, Mihai-Valentin
Gherghescu, Alexandru M.
Agache, Alexandru
Raiciu, Costin
contents Research in the field of language models is rapidly evolving, with many open models being released to the public. Openly available pretraining corpora usually focus on only a handful of languages, with many others either missing completely or extremely underrepresented. In this report, we introduce FuLG, a hundred-fifty-billion-token Romanian corpus extracted from CommonCrawl. We present our methodology for filtering FuLG and compare it via ablation studies against existing Romanian corpora.
format Preprint
id arxiv_https___arxiv_org_abs_2407_13657
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle FuLG: 150B Romanian Corpus for Language Model Pretraining
Bădoiu, Vlad-Andrei
Dumitru, Mihai-Valentin
Gherghescu, Alexandru M.
Agache, Alexandru
Raiciu, Costin
Computation and Language
Research in the field of language models is rapidly evolving, with many open models being released to the public. Openly available pretraining corpora usually focus on only a handful of languages, with many others either missing completely or extremely underrepresented. In this report, we introduce FuLG, a hundred-fifty-billion-token Romanian corpus extracted from CommonCrawl. We present our methodology for filtering FuLG and compare it via ablation studies against existing Romanian corpora.
title FuLG: 150B Romanian Corpus for Language Model Pretraining
topic Computation and Language
url https://arxiv.org/abs/2407.13657