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README.md
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# ScratchMath
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**ScratchMath** is a multimodal benchmark dataset for evaluating the ability of Multimodal Large Language Models (MLLMs) to analyze handwritten mathematical scratchwork produced by real students. Unlike existing math benchmarks that focus on problem-solving accuracy, ScratchMath targets **error diagnosis** — identifying what type of mistake a student made and explaining why.
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## Dataset Description
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# ScratchMath
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**AIED 2026** | [Project Page](https://bbsngg.github.io/ScratchMath/) | [Paper (PDF)](https://bbsngg.github.io/ScratchMath/paper/ScratchMath_AIED2026.pdf) | [Code (GitHub)](https://github.com/ai-for-edu/ScratchMath)
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**ScratchMath** is a multimodal benchmark dataset for evaluating the ability of Multimodal Large Language Models (MLLMs) to analyze handwritten mathematical scratchwork produced by real students. Unlike existing math benchmarks that focus on problem-solving accuracy, ScratchMath targets **error diagnosis** — identifying what type of mistake a student made and explaining why.
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## Dataset Description
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