AI-MO/NuminaMath-CoT 已完整同步
Dataset Card for NuminaMath CoT
Dataset Description
- Homepage: https://projectnumina.ai
- Repository: https://github.com/project-numina/aimo-progress-prize
- Paper: https://github.com/project-numina/aimo-progress-prize/blob/main/report/numina_dataset.pdf
- Leaderboard:
- Point of Contact: Jia Li
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
浏览文件数据集版权信息
本数据集的许可证为 Apache License 2.0。如有违反相关条款,请联系 WEHUB,我们将及时处理。 查看许可证
通过 WeHub CLI 下载当前数据集快照。下列命令会固定为当前页面展示的数据版本(如果页面提供版本)。文件字节由本机直连存储下载,浏览器不会签发或保存下载链接。
前置要求
需要 Node.js 18 及以上,以及 npm(或 npx)。
1. 安装 CLI
npm install -g wehub-cli@latest
2. 下载此数据集
wehub datasets download ds_ai_mo_numinamath_cot_d313ff294a --revision 9d8d210c9f6a36c8f3cd84045668c9b7800ef517 --output ./ds_ai_mo_numinamath_cot_d313ff294a
若中断或部分失败,在同一目录重新执行同一命令即可续传。默认会校验 SHA-256。
免全局安装
npx --yes wehub-cli@latest datasets download ds_ai_mo_numinamath_cot_d313ff294a --revision 9d8d210c9f6a36c8f3cd84045668c9b7800ef517 --output ./ds_ai_mo_numinamath_cot_d313ff294a
高级选项
以下为 wehub datasets download 已支持的参数示例:
强制重新下载,不复用已校验的本地文件
wehub datasets download ds_ai_mo_numinamath_cot_d313ff294a --revision 9d8d210c9f6a36c8f3cd84045668c9b7800ef517 --output ./ds_ai_mo_numinamath_cot_d313ff294a --overwrite
仅包含匹配路径
wehub datasets download ds_ai_mo_numinamath_cot_d313ff294a --revision 9d8d210c9f6a36c8f3cd84045668c9b7800ef517 --output ./ds_ai_mo_numinamath_cot_d313ff294a --include "*.jsonl"
排除匹配路径
wehub datasets download ds_ai_mo_numinamath_cot_d313ff294a --revision 9d8d210c9f6a36c8f3cd84045668c9b7800ef517 --output ./ds_ai_mo_numinamath_cot_d313ff294a --exclude "*.md"
提高并发下载数
wehub datasets download ds_ai_mo_numinamath_cot_d313ff294a --revision 9d8d210c9f6a36c8f3cd84045668c9b7800ef517 --output ./ds_ai_mo_numinamath_cot_d313ff294a --jobs 8
完整帮助:wehub datasets download --help