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Dataset · Hugging Face

SYNTH-Initiative/SYNTH

SYNTH SYNTH is the first open generalist synthetic dataset for training small reasoning model end-to-end, jointly released by Pleias and the AI Alliance. SYNTH includes 79,648,272 individual text samples, comprising over 41 billion words (about 75 billion tokens with Pleias tokenizer). It is based on the amplification of 58,698 articles from Wikipedia and made possible thanks to the Structured Wikipedia dataset from Wikimedia Enterprise. SYNTH differs from existing open… See the full description on the dataset page: https://huggingface.co/datasets/SYNTH-Initiative/SYNTH.

Author / organizationSYNTH-Initiative
License (as declared)cdla-permissive-2.0
Downloads3.1K (as reported by Hugging Face)
Likes1
Created10 November 2025
Last updated at source10 November 2025
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  • 16 Oct 2026 Description: SYNTH SYNTH is the first open generalist synthetic dataset for training small reasoning model end-to-end, jointly released by Pleias and the AI Alliance. SYNTH includes 79,648,272 individual text samples, comprising over 41 billion words (a → SYNTH SYNTH is the first open generalist synthetic dataset for training small reasoning model end-to-end, jointly released by Pleias and the AI Alliance. SYNTH includes 79,648,272 individual text samples, comprising over 41 billion words (a

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