---
dataset_info:
  features:
  - name: problem
    dtype: string
  - name: answer
    dtype: string
  splits:
  - name: train
    num_bytes: 8222880.032591735
    num_examples: 39701
  download_size: 4587138
  dataset_size: 8222880.032591735
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: mit
task_categories:
- question-answering
language:
- en
size_categories:
- 10K<n<100K
---
# Orz Math Filtered

Dataset from [Open-Reasoner-Zero](https://github.com/Open-Reasoner-Zero/Open-Reasoner-Zero).
We clean the original data by:
* remove incomplete problem and answer
* remove image-based problem
* remove single-choice problem
* remove url

The details for how to collect data are described in their [paper](https://github.com/Open-Reasoner-Zero/Open-Reasoner-Zero/blob/main/ORZ_paper.pdf).

## Citation

```bibtex
@misc{OpenReasonerZero2025,
  title={Open-Reasoner-Zero: An Open Source Approach to Scaling Reinforcement Learning on the Base Model},
  author={Jingcheng Hu and Yinmin Zhang and Qi Han and Daxin Jiang and Xiangyu Zhang, Heung-Yeung Shum},
  year={2025},
  howpublished={\url{https://github.com/Open-Reasoner-Zero/Open-Reasoner-Zero}},
}
```