FuLG: 150B Romanian Corpus for Language Model Pretraining

Autor: Bădoiu, Vlad-Andrei, Dumitru, Mihai-Valentin, Gherghescu, Alexandru M., Agache, Alexandru, Raiciu, Costin
Rok vydání: 2024
Předmět:
Druh dokumentu: Working Paper
Popis: 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.
Databáze: arXiv