Dataset · Hugging Face

eltag-labs/Veritas

Name: Veritas
Creator: eltag-labs
License: cc-by-4.0
Keywords: language:en, language:fr, language:de, language:es, language:ru, language:zh, language:ja, language:it, language:pt, language:ar, license:cc-by-4.0, size_categories:100M<n<1B, format:parquet, modality:text, library:datasets

VERITAS: A High-Quality, Balanced Multi-Domain Pre-training Dataset 📖 Dataset Summary VERITAS is a high-quality, multi-lingual, and multi-domain dataset meticulously curated for the pre-training of Large Language Models (LLMs). Comprising exactly 250 Billion tokens, VERITAS is designed to provide a highly representative, dense, and clean data distribution. The dataset features a strong orientation towards scientific AI, with a deep integration of… See the full description on the dataset page: https://huggingface.co/datasets/eltag-labs/Veritas.

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Author / organization	eltag-labs
License (as declared)	cc-by-4.0
Downloads	410 (as reported by Hugging Face)
Likes	5
Created	11 July 2026
Last updated at source	30 September 2026

pre-traininglarge-datasetmulti-domainmathematicscodescientific-ai

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