Penedo et al., Hugging Face (2024) — ARXIV-2406.17557

Key takeaways

  • The gap it fills is documentary: the pretraining corpora behind the best open-weight models of the period are not public and almost nothing is known about how they were built, so nobody outside those labs could reason about the choices.
  • FineWeb is 15T tokens from 96 Common Crawl snapshots, and outperforms other open pretraining datasets — but the contribution the paper leads with is that every design choice is documented and ablated, deduplication and filtering strategies in particular.
  • FineWeb-Edu is 1.3T tokens filtered from it for educational content, and models pretrained on it do dramatically better on knowledge- and reasoning-heavy benchmarks — MMLU and ARC are named.
  • The curation codebase and every ablation model are released, which is what makes the ablations usable rather than merely reported.

Standing in the anthology

The dataset half of the record’s data practices, and the thing several notes have been referring to without a citation: LIT-119’s tiny models mix FineWeb and FineWeb-EDU by name in their web allocation, and its 20%-web ablation is a decision taken inside the trade-off this paper maps.

Filed as a note. The record has no practice recommending a corpus, and should not: a dataset is not a technique, and the transferable content here is the ablation methodology — that filtering and deduplication choices are worth measuring individually rather than adopting as a bundle. Read against LIT-178, which argues this filtering is too aggressive for long token horizons.

No practice of its own, on scope rather than adoption. A dataset is not a technique, and the record should not recommend a corpus. The transferable content — that filtering and deduplication choices are worth measuring individually rather than adopted as a bundle — is methodology, and the practice it bears on is the filtering-horizon one drawn from LIT-178, which names this as the position it argues against. Neither contradicts the other: this measured filters at the horizon it measured them at, and that one says the answer moves with the horizon.