MathCritique-76k
收藏IEEE2026-04-17 收录
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https://ieee-dataport.org/documents/mathcritique-76k
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资源简介：
To train critique models capable of delivering step-level supervision and constructive feedback for reasoning, we introduce AutoMathCritique—an automated and scalable framework for collecting critique data.
This framework consists of three main stages: flawed reasoning path construction, critique generation, and data filtering. Using AutoMathCritique, we create a dataset containing $76,321$ samples named MathCritique-76k.
提供机构：
Huang, Jixuan; Xi, Zhiheng; Tang, Jiafu; Yang, Dingwen
