Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
License:
File size: 1,202 Bytes
a9d2555 c9a7a0d a9d2555 97bb587 a9d2555 97bb587 |
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---
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}},
}
``` |