This repository contains the ScaleDiff-Math dataset, which is the official implementation for ScaleDiff, a simple yet effective pipeline designed to scale the creation of challenging mathematical problems to enhance the reasoning capabilities of Large Reasoning Models (LRMs). Our method addresses the scarcity of high-quality, difficult training data, which is often manually created and is therefore costly and difficult to scale.

Paper… See the full description on the dataset page: https://huggingface.co/datasets/QizhiPei/ScaleDiff-Math.