aloobun/mini-math23k-v1
收藏Hugging Face2023-10-10 更新2024-03-04 收录
下载链接：
https://hf-mirror.com/datasets/aloobun/mini-math23k-v1
下载链接
链接失效反馈官方服务：
资源简介：
---
license: mit
language:
- en
size_categories:
- 10K<n<100K
task_categories:
- text-generation
pretty_name: math
---
The mini-math23k-v1 dataset is composed of ~ 23,000 entries of data, from open datasets across the AI landscape, including:
- [TIGER-Lab/MathInstruct](https://huggingface.co/datasets/TIGER-Lab/MathInstruct)
- [Birchlabs/openai-prm800k-solutions-only](https://huggingface.co/datasets/Birchlabs/openai-prm800k-solutions-only)
Credits:
```
Birchlabs
```
```
@article{yue2023mammoth,
title={MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning},
author={Xiang Yue, Xingwei Qu, Ge Zhang, Yao Fu, Wenhao Huang, Huan Sun, Yu Su, Wenhu Chen},
journal={arXiv preprint arXiv:2309.05653},
year={2023}
}
```
提供机构：
aloobun
原始信息汇总
数据集概述
基本信息
- 许可证: MIT
- 语言: 英语
- 数据规模: 10K<n<100K
- 任务类别: 文本生成
- 美观名称: math
数据集描述
- 名称: mini-math23k-v1
- 数据条目: 约23,000条
- 来源:
- TIGER-Lab/MathInstruct
- Birchlabs/openai-prm800k-solutions-only
贡献者
- Birchlabs
参考文献
- 标题: MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning
- 作者: Xiang Yue, Xingwei Qu, Ge Zhang, Yao Fu, Wenhao Huang, Huan Sun, Yu Su, Wenhu Chen
- 期刊: arXiv preprint arXiv:2309.05653
- 年份: 2023
