AI & ML interests
We release large pre-training datasets to accelerate open LLM development. Part of the Hugging Face Science team (hf.co/science)
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Papers
FineWeb2: One Pipeline to Scale Them All -- Adapting Pre-Training Data Processing to Every Language
The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale
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FineWeb2: One Pipeline to Scale Them All -- Adapting Pre-Training Data Processing to Every Language
Paper β’ 2506.20920 β’ Published β’ 73 -
HuggingFaceFW/fineweb-2
Viewer β’ Updated β’ 5.02B β’ 114k β’ 676 -
69
Scaling FineWeb to 1000+ languages: Step 1: finding signal in 100s of evaluation tasks
πEvaluate multilingual models using FineTasks
FineWeb-Edu datasets, classifier and ablation model
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HuggingFaceFW/fineweb-edu
Viewer β’ Updated β’ 3.5B β’ 373k β’ 783 -
HuggingFaceFW/fineweb-edu-score-2
Viewer β’ Updated β’ 13.9B β’ 20.5k β’ 80 -
HuggingFaceFW/fineweb-edu-classifier
Text Classification β’ 0.1B β’ Updated β’ 1.47k β’ β’ 197 -
HuggingFaceFW/ablation-model-fineweb-edu
Text Generation β’ 2B β’ Updated β’ 418 β’ 16
Ablation models trained for our data experiments.
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HuggingFaceFW/ablation-exp-textext-warc_trafilatura-28BT
Text Generation β’ 2B β’ Updated β’ 1 -
HuggingFaceFW/ablation-exp-textext-wet-28BT
Text Generation β’ 2B β’ Updated β’ 2 -
HuggingFaceFW/ablation-exp-fw-base_filtering-350BT
Text Generation β’ 2B β’ Updated -
HuggingFaceFW/ablation-exp-dedup-global_minhash-350BT
Text Generation β’ 2B β’ Updated β’ 1
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1.11k
FineWeb: decanting the web for the finest text data at scale
π·Generate high-quality text data for LLMs using FineWeb
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HuggingFaceFW/fineweb
Viewer β’ Updated β’ 52.5B β’ 278k β’ 2.4k -
HuggingFaceFW/fineweb-edu
Viewer β’ Updated β’ 3.5B β’ 373k β’ 783 -
HuggingFaceFW/fineweb-edu-score-2
Viewer β’ Updated β’ 13.9B β’ 20.5k β’ 80
1.8B models trained on 350BT to compare different pretraining datasets
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HuggingFaceFW/ablation-model-fineweb-edu
Text Generation β’ 2B β’ Updated β’ 418 β’ 16 -
HuggingFaceFW/ablation-model-fineweb-v1
Text Generation β’ 2B β’ Updated β’ 606 β’ 14 -
HuggingFaceFW/ablation-model-refinedweb
Text Generation β’ 2B β’ Updated β’ 3 β’ 3 -
HuggingFaceFW/ablation-model-c4
Text Generation β’ 2B β’ Updated β’ 11 β’ 4
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FineWeb2: One Pipeline to Scale Them All -- Adapting Pre-Training Data Processing to Every Language
Paper β’ 2506.20920 β’ Published β’ 73 -
HuggingFaceFW/fineweb-2
Viewer β’ Updated β’ 5.02B β’ 114k β’ 676 -
69
Scaling FineWeb to 1000+ languages: Step 1: finding signal in 100s of evaluation tasks
πEvaluate multilingual models using FineTasks
-
1.11k
FineWeb: decanting the web for the finest text data at scale
π·Generate high-quality text data for LLMs using FineWeb
-
HuggingFaceFW/fineweb
Viewer β’ Updated β’ 52.5B β’ 278k β’ 2.4k -
HuggingFaceFW/fineweb-edu
Viewer β’ Updated β’ 3.5B β’ 373k β’ 783 -
HuggingFaceFW/fineweb-edu-score-2
Viewer β’ Updated β’ 13.9B β’ 20.5k β’ 80
FineWeb-Edu datasets, classifier and ablation model
-
HuggingFaceFW/fineweb-edu
Viewer β’ Updated β’ 3.5B β’ 373k β’ 783 -
HuggingFaceFW/fineweb-edu-score-2
Viewer β’ Updated β’ 13.9B β’ 20.5k β’ 80 -
HuggingFaceFW/fineweb-edu-classifier
Text Classification β’ 0.1B β’ Updated β’ 1.47k β’ β’ 197 -
HuggingFaceFW/ablation-model-fineweb-edu
Text Generation β’ 2B β’ Updated β’ 418 β’ 16
1.8B models trained on 350BT to compare different pretraining datasets
-
HuggingFaceFW/ablation-model-fineweb-edu
Text Generation β’ 2B β’ Updated β’ 418 β’ 16 -
HuggingFaceFW/ablation-model-fineweb-v1
Text Generation β’ 2B β’ Updated β’ 606 β’ 14 -
HuggingFaceFW/ablation-model-refinedweb
Text Generation β’ 2B β’ Updated β’ 3 β’ 3 -
HuggingFaceFW/ablation-model-c4
Text Generation β’ 2B β’ Updated β’ 11 β’ 4
Ablation models trained for our data experiments.
-
HuggingFaceFW/ablation-exp-textext-warc_trafilatura-28BT
Text Generation β’ 2B β’ Updated β’ 1 -
HuggingFaceFW/ablation-exp-textext-wet-28BT
Text Generation β’ 2B β’ Updated β’ 2 -
HuggingFaceFW/ablation-exp-fw-base_filtering-350BT
Text Generation β’ 2B β’ Updated -
HuggingFaceFW/ablation-exp-dedup-global_minhash-350BT
Text Generation β’ 2B β’ Updated β’ 1