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。