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@@ -16,4 +16,32 @@ configs:
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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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+
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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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+
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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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+
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+ ## Citation
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+
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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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+ ```