Large Scale Web Text Corpus Curation And Filtering

via “large-scale english text corpus filtering and deduplication”

Google's cleaned Common Crawl corpus used to train T5.

Unique: Uses deterministic heuristic-based filtering (length thresholds, keyword matching, language detection) applied at scale to 750GB of Common Crawl, enabling reproducible dataset creation without learned classifiers; includes sentence-level deduplication to remove redundant training examples

vs others: More transparent and reproducible than learned filtering approaches; larger and more thoroughly deduplicated than raw Common Crawl, but less sophisticated than newer datasets like Fineweb that use neural classifiers for quality scoring