openaimath

## Dataset Description

- **Repository:** https://github.com/simplescaling/s1
- **Paper:** [s1: Simple test-time scaling](https://arxiv.org/abs/TODO)

The 500 problems from MATH that were used in "Let's verify step-by-step" and "s1: Simple test-time scaling" are the test set; rest is regular train set.

## Citation Information

```bibtex
@misc{muennighoff2025s1simpletesttimescaling,
title={s1: Simple test-time scaling},
author={Niklas Muennighoff and Zitong Yang and Weijia Shi and Xiang Lisa Li and Li Fei-Fei and Hannaneh Hajishirzi and Luke Zettlemoyer and Percy Liang and Emmanuel Candès and Tatsunori Hashimoto},
year={2025},
eprint={2501.19393},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2501.19393},
}
```

## 数据集说明
- **仓库地址**：https://github.com/simplescaling/s1
- **论文**：[s1：简单测试时缩放（s1: Simple test-time scaling）](https://arxiv.org/abs/TODO)

来自MATH数学数据集（MATH）中被用于《Let's verify step-by-step》与《s1：简单测试时缩放》两项研究的500道题目作为测试集，剩余题目则作为常规训练集。

## 引用信息
bibtex
@misc{muennighoff2025s1simpletesttimescaling,
title={s1: Simple test-time scaling},
author={Niklas Muennighoff and Zitong Yang and Weijia Shi and Xiang Lisa Li and Li Fei-Fei and Hannaneh Hajishirzi and Luke Zettlemoyer and Percy Liang and Emmanuel Candès and Tatsunori Hashimoto},
year={2025},
eprint={2501.19393},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2501.19393},
}

搜集汇总

背景与挑战

背景概述

openaimath数据集包含来自MATH的500个问题作为测试集，其余部分用作常规训练集，与论文's1: Simple test-time scaling'相关。该数据集采用Apache License 2.0许可证，更新于2025年3月28日。