Datasets:

THU-KEG
/

MM_Math

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 # MM_Math Datasets
-We introduce our multimodal mathematics dataset, MM-MATH, which comprises a total of 5,929 problems.
 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.
 ## MM_Math Deacription

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 # MM_Math Datasets
+We introduce our multimodal mathematics dataset, MM-MATH,.
 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.
 ## MM_Math Deacription