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# Reactive AI / Beta Pre-Train Corpus
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Pre-training corpus for RxT-Beta models, created from public & open datasets. Includes high-quality english and polish web crawl data, mathematic and scientific subsets,
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and code in different programming languages
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# Reactive AI / Beta Pre-Train Corpus
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Pre-training corpus for RxT-Beta models, created from public & open datasets. Includes high-quality english and polish web crawl data, mathematic and scientific subsets,
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and code in different programming languages
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## Subsets & original datasets
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- [FineWeb-Edu](https://huggingface.co/datasets/HuggingFaceFW/fineweb-edu)
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- `fineweb-edu-s100` (51.3M examples) - 50% of 'sample-100BT' subset
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- `fineweb-edu-2025-26` (14M examples) - CC-MAIN-2025-26 subset - latest crawl
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- [FineWiki](https://huggingface.co/datasets/HuggingFaceFW/finewiki)
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- `finewiki-en` (6.6M examples) - english wikipedia subset
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- `finewiki-pl` (1.5M examples) - polish wikipedia subset
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- [FineWeb2-HQ](https://huggingface.co/datasets/epfml/FineWeb2-HQ)
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- `fineweb2-hq-pl` (13.3M examples) - high-quality filtered polish web crawl
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- [FineMath](https://huggingface.co/datasets/HuggingFaceTB/finemath)
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- `finemath-4plus` (6.7M examples)
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- `infiwebmath-4plus` (6.3M examples)
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- [ProofPile-2](https://huggingface.co/datasets/EleutherAI/proof-pile-2)
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- `pp2-arxiv` (4M examples) - arXiv research papers
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- Notebooks:
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- `kaggle` (0.58M examples) - from [HuggingFaceTB/issues-kaggle-notebooks](https://huggingface.co/datasets/HuggingFaceTB/issues-kaggle-notebooks)
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- `github-jupyter` (0.05M examples) - from [codeparrot/github-jupyter-code-to-text](https://huggingface.co/datasets/codeparrot/github-jupyter-code-to-text)
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