{
 "id": "OpenSQZ/AutoMathText-V2",
 "owner": "OpenSQZ",
 "name": "AutoMathText-V2",
 "downloads": 46637,
 "likes": 78,
 "last_modified": "2026-06-09T07:00:31.000Z",
 "stated_licence": null,
 "stated_from": "none",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [
  "LICENSE"
 ],
 "sources": [],
 "gated": false,
 "tasks": [
  "text-generation",
  "question-answering"
 ],
 "citation": "@misc{automathtext_v2_2025,\n\u00a0 title={AutoMathText-V2: A 2.46 Trillion Token AI-Curated STEM Pretraining Dataset},\n\u00a0 author={Li, Chao and Zhang, Yifan and Lu, Yanzhen and Yao, Andrew C},\n\u00a0 year={2025},\n\u00a0 publisher={Hugging Face},\n\u00a0 url={https://huggingface.co/datasets/OpenSQZ/AutoMathText-V2},\n\u00a0 note={A 2.46T token multi-domain dataset with fine-grained deduplication and AI-powered quality assessment.}\n}\n\n@article{zhang2025autonomous,\n\u00a0 title={Autonomous Data Selection with Zero-shot Generative Classifiers for Mathematical Texts},\n\u00a0 author={Zhang, Yifan and Luo, Yifan and Yuan, Yang and Yao, Andrew C},\n\u00a0 journal={Findings of the Association for Computational Linguistics: ACL 2025},\n\u00a0 year={2025}\n}",
 "signal": "unclear",
 "reason": "The checks could not identify a recognised licence ID in the dataset's metadata."
}