cyzhh/MMOS

---
license: mit
task_categories:
- question-answering
language:
- en
tags:
- math
- reasoning
- code
size_categories:
- 100K<n<1M
---
[ArXiv](https://arxiv.org/abs/2403.00799) | [Models](https://pan.quark.cn/s/2d16e640ed07) | [Data](https://huggingface.co/datasets/cyzhh/MMOS) | [Code](https://github.com/cyzhh/MMOS) |

You can download the dataset as follows
```python
from datasets import load_dataset
ds = load_dataset("cyzhh/MMOS")
```

### Schema
Each dataset row has the following structure
```python
{
"idx": ..., # problem id
"prompt": ..., # problem
"completion": ... # reasoning path with python
}
```
### License
We do not alter the license of any of the underlying data.

### Citation
For the MMOS, cite
```
@misc{chen2024empirical,
title={An Empirical Study of Data Ability Boundary in LLMs' Math Reasoning},
author={Zui Chen and Yezeng Chen and Jiaqi Han and Zhijie Huang and Ji Qi and Yi Zhou},
year={2024},
eprint={2403.00799},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
```

原始信息汇总

数据集概述

基本信息

• 许可证: MIT
• 任务类别: 问答
• 语言: 英语
• 标签: 数学, 推理, 代码
• 规模类别: 100K<n<1M

数据结构

每个数据集行包含以下结构： python { "idx": ..., # 问题ID "prompt": ..., # 问题 "completion": ... # 推理路径（Python代码） }

许可证

数据集不改变任何底层数据的许可证。

引用

对于MMOS数据集，请引用以下内容：

@misc{chen2024empirical, title={An Empirical Study of Data Ability Boundary in LLMs Math Reasoning}, author={Zui Chen and Yezeng Chen and Jiaqi Han and Zhijie Huang and Ji Qi and Yi Zhou}, year={2024}, eprint={2403.00799}, archivePrefix={arXiv}, primaryClass={cs.CL} }