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New pipeline curates 41B token European Portuguese web corpus for LLMs

Researchers have developed a new pipeline for curating high-quality web corpora specifically for European Portuguese (PT-PT). This pipeline addresses challenges like dialectal overlap with Brazilian Portuguese and the scale of data processing. It efficiently processes 411 TB of raw data, incorporating a novel post-scraping block that improves document yield by 19.04% by preventing premature discarding of valid text. The framework includes rigorous language identification, weighted fuzzy deduplication, and neural quality classification, resulting in a clean and representative corpus suitable for LLM pre-training. AI

IMPACT Provides a scalable framework and a clean corpus optimized for LLM pre-training, potentially improving model performance on European Portuguese.

RANK_REASON The item is a research paper detailing a new method for data curation. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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New pipeline curates 41B token European Portuguese web corpus for LLMs

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The item is a research paper detailing a new method for data curation. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Gon\c{c}alo Vinagre, Rui Pedro Guerra, Pedro Gomes, Miguel Moura Ramos, Duarte Miguel Alves, Afonso Simpl\'icio, Diogo Tavares, David Semedo, Daniel Gomes, Jo\~ao Magalh\~aes ·

    Fine PT-PT Web: A High-Quality 41 Billion Tokens Data Collection of the European Portuguese Web

    arXiv:2609.07699v2 Announce Type: cross Abstract: Curating Web corpora for regional language variants like European Portuguese (PT-PT) is heavily bottlenecked by dialectal overlap (mainly with PT-BR) and data processing scale. This paper presents an efficient pipeline to curate a…