Dataset · Hugging Face

PleIAs/SYNTH

Name: SYNTH
Creator: PleIAs
License: cc-by-4.0
Keywords: task_categories:text-generation, task_categories:zero-shot-classification, task_categories:summarization, language:en, language:fr, language:it, language:es, language:de, language:pl, language:nl, language:la, license:cc-by-4.0, size_categories:10M<n<100M, format:parquet, modality:text

SYNTH Blog announcement 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… See the full description on the dataset page: https://huggingface.co/datasets/PleIAs/SYNTH.

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Author / organization	PleIAs
License (as declared)	cc-by-4.0
Downloads	11.4K (as reported by Hugging Face)
Likes	302
Created	10 November 2025
Last updated at source	6 May 2026

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16 Oct 2026 Description: SYNTH Blog announcement 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 4 → SYNTH Blog announcement 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 4

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