Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
License:
Update README.md
Browse files
README.md
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data_files:
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- split: train
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path: data/train-*
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---
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data_files:
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- split: train
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path: data/train-*
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license: mit
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task_categories:
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- question-answering
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language:
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- en
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size_categories:
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- 10K<n<100K
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---
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# Orz Math Filtered
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Dataset from [Open-Reasoner-Zero](https://github.com/Open-Reasoner-Zero/Open-Reasoner-Zero).
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We clean the original data by:
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* remove incomplete problem and answer
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* remove image-based problem
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* remove single-choice problem
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* remove url
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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).
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## Citation
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```bibtex
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@misc{OpenReasonerZero2025,
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title={Open-Reasoner-Zero: An Open Source Approach to Scaling Reinforcement Learning on the Base Model},
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author={Jingcheng Hu and Yinmin Zhang and Qi Han and Daxin Jiang and Xiangyu Zhang, Heung-Yeung Shum},
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year={2025},
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howpublished={\url{https://github.com/Open-Reasoner-Zero/Open-Reasoner-Zero}},
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}
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```
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