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

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 production-ready PT-PT corpus from the Portuguese Web, spanning 411 TB of raw data from this http URL. We introduce a novel post-scraping block that removes boilerplate and line duplicates prior to filtering. This early-stage intervention increases final document yield by 19.04% by rescuing valid text that standard heuristic filters prematurely discard. Integrated with rigorous language identification, weighted fuzzy deduplication, and neural quality classification, our pipeline offers a scalable framework and a clean, representative corpus optimized for LLM pre-training.

Computation and Language (cs.CL); Artificial Intelligence (cs.AI)

arXiv:2609.07699 [cs.CL]

(or arXiv:2609.07699v1 [cs.CL] for this version)

https://doi.org/10.48550/arXiv.2609.07699 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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