OpenSQZ/AutoMathText-V2
Unclear
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Licence facts reported by the dataset and its declared sources. Not legal advice, and not a grant of permission to use the dataset.
Evidence
- Declared licence: not declared (see datasets without one)
- Licence files: LICENSE, licence not identified
- Access gated on Hugging Face: no
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Tasks
Citation text from the card
@misc{automathtext_v2_2025,
title={AutoMathText-V2: A 2.46 Trillion Token AI-Curated STEM Pretraining Dataset},
author={Li, Chao and Zhang, Yifan and Lu, Yanzhen and Yao, Andrew C},
year={2025},
publisher={Hugging Face},
url={https://huggingface.co/datasets/OpenSQZ/AutoMathText-V2},
note={A 2.46T token multi-domain dataset with fine-grained deduplication and AI-powered quality assessment.}
}
@article{zhang2025autonomous,
title={Autonomous Data Selection with Zero-shot Generative Classifiers for Mathematical Texts},
author={Zhang, Yifan and Luo, Yifan and Yuan, Yang and Yao, Andrew C},
journal={Findings of the Association for Computational Linguistics: ACL 2025},
year={2025}
}
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