数据集 / AI-MO/NuminaMath-CoT

AI-MO/NuminaMath-CoT 已完整同步

Dataset Card for NuminaMath CoT

Dataset Description

Dataset Summary

Approximately 860k math problems, where each solution is formatted in a Chain of Thought (CoT) manner. The sources of the dataset range from Chinese high school math exercises to US and international mathematics olympiad competition problems. The data were primarily collected from online exam paper PDFs and mathematics discussion forums. The processing steps include (a) OCR from the original PDFs, (b) segmentation into problem-solution pairs, (c) Translation into English, (d) realignment to produce a CoT reasoning format, and (e) final answer formatting.

Source breakdown

Source Number of Samples
aops_forum 30201
amc_aime 4072
cn_k12 276591
gsm8k 7345
math 7478
olympiads 150581
orca_math 153334
synthetic_amc 62111
synthetic_math 167895
Total 859608

Licensing Information

The dataset is available under the Apache License, Version 2.0.

Citation Information

@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](https://github.com/project-numina/aimo-progress-prize/blob/main/report/numina_dataset.pdf)}}
}

数据概览

NuminaMath-CoT 收录数学问题及其解答,当前镜像包含 Parquet 数据文件,适合用于数学推理训练、评测和教学类应用。

8 个文件

浏览文件