openaimath
收藏魔搭社区2025-12-05 更新2025-02-08 收录
下载链接:
https://modelscope.cn/datasets/simplescaling/openaimath
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资源简介:
## 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},
}
提供机构:
maas
创建时间:
2025-02-06



