Dataset · Hugging Face

QizhiPei/ScaleDiff-Math

Name: ScaleDiff-Math
Creator: QizhiPei
License: mit
Keywords: task_categories:text-generation, language:en, license:mit, size_categories:1M<n<10M, format:parquet, modality:text, library:datasets, library:dask, library:mlcroissant, library:polars, arxiv:2509.21070, arxiv:2504.07086, region:us, instruction-tuning, synthetic-data

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

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Author / organization	QizhiPei
License (as declared)	mit
Downloads	406 (as reported by Hugging Face)
Likes	2
Created	23 August 2025
Last updated at source	26 September 2025

instruction-tuningsynthetic-datalarge-language-models

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16 Oct 2026 Description: ScaleDiff-Math Dataset 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 t → ScaleDiff-Math Dataset 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 t

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