This dataset was proposed by AI-MO in 2024 and contains 860k+ math competition question-solution pairs, each of which uses the Chain of Thought (CoT) reasoning template. The sources of the dataset include Chinese high school math exercises, American and International Mathematical Olympiad competition questions. The data is mainly collected from online test paper PDFs and math discussion forums. The processing steps include (a) OCR from the original PDF, (b) segmentation into problem-solution pairs, (c) translation into English, (d) reshaping to generate CoT reasoning format, and (e) final answer format.

Citation

@misc{numina_math_datasets, author = {Jia LI and Edward Beeching and Lewis Tunstall and Ben Lipkin and Roman Soletskyi and Shengyi Costa Huang and Kashif Rasul and Longhui Yu and Albert Jiang and Ziju Shen and Zihan Qin and Bin Dong and Li Zhou and Yann Fleureau and Guillaume Lample and Stanislas Polu}, title = {NuminaMath}, year = {2024}, publisher = {Numina}, journal = {Hugging Face repository}, howpublished = {\url{https://huggingface.co/AI-MO/NuminaMath-CoT}} }