AI & ML interests
We release large pre-training datasets to accelerate open LLM development. Part of the Hugging Face Science team (hf.co/science)
Recent Activity
Papers
How Can We Synthesize High-Quality Pretraining Data? A Systematic Study of Prompt Design, Generator Model, and Source Data
FineWeb2: One Pipeline to Scale Them All -- Adapting Pre-Training Data Processing to Every Language
π· FineData
This is the home of the π· FineData team, a branch of the π€ Hugging Face Science Team releasing large scale pre-training datasets to accelerate open LLM development.
- π· FineWeb: A 15T tokens English dataset for LLM pre-training. See the blogpost and paper.
- π FineWeb-Edu: a filtered subset of the most educational content from FineWeb.
- π₯ FineWeb2: an extension of FineWeb to over 1000 languages. See the paper.
- π FinePDFs: 3T tokens of text data extracted from PDFs sourced from the Web. See the blogpost
- π FineWiki: an updated, better extracted version of Wikipedia in 300+ languages.
- π FinePDFs-Edu: 350B+ highly educational tokens filtered from π FinePDFs
- π¬ FineTranslations: 1+1T tokens of parallel text translated from 500+ π₯ FineWeb2 languages
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The Synthetic Data Playbook: Generating Trillions of the Finest Tokens
Explore synthetic data experiments on a bookshelf visualization
FinePDFs: Liberating 3T of the finest tokens from PDFs
Explore the FinePDFs PDF token dataset
FineWiki Viewer
Viewer to explore the finewiki dataset
FineWeb: decanting the web for the finest text data at scale
Explore the FineWeb dataset and its creation process
Scaling FineWeb to 1000+ languages: Step 1: finding signal in 100s of evaluation tasks
Evaluate multilingual models using FineTasks