Datasets:
Tasks:
Text-to-Image
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
1K - 10K
Tags:
math
License:
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We introduce our multimodal mathematics dataset, MM-MATH, which comprises a total of 5,929 problems.
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This dataset is collected from real middle school exams in China, and all the math problems are open-ended to evaluate the mathematical problem-solving abilities of current multimodal models. MM-MATH is annotated with fine-grained three-dimensional labels: difficulty, grade, and knowledge points. The difficulty level is determined based on the average scores of student exams, the grade labels are derived from the educational content of different grades from which the problems were collected, and the knowledge points are categorized by teachers according to the problems' content.
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## MM_Math
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The MM_math
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1. **image.tar**: This archive includes images used in the problems.
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2. **
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## Data Format
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We introduce our multimodal mathematics dataset, MM-MATH, which comprises a total of 5,929 problems.
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This dataset is collected from real middle school exams in China, and all the math problems are open-ended to evaluate the mathematical problem-solving abilities of current multimodal models. MM-MATH is annotated with fine-grained three-dimensional labels: difficulty, grade, and knowledge points. The difficulty level is determined based on the average scores of student exams, the grade labels are derived from the educational content of different grades from which the problems were collected, and the knowledge points are categorized by teachers according to the problems' content.
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## MM_Math Deacription
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The MM_math description contains two documents:
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1. **image.tar**: This archive includes images used in the problems.
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2. **MM_Math.json**: This file contains collected middle school exam questions, including the problem statement, solution process, and 3D annotations.
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## Data Format
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