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MM_Math Datasets
We introduce our multimodal mathematics dataset, MMMATH,. This dataset is collected from real middle school exams in China, and all the math problems are openended to evaluate the mathematical problemsolving abilities of current multimodal models. MMMATH is annotated with finegrained threedimensional 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
The MM_math description contains two documents:
 Image.zip: This archive includes images used in the problems.
 MM_Math.jsonl: This file contains collected middle school exam questions, including the problem statement, solution process, and 3 dimension annotations.
Data Format
All data in MMMath are standardized to the following format:
{
"question": "The text of each question statement conforms to LaTeX code.",
"file_name": "The names of the question images in the image folder.",
"solution": "The text of each question' soluation conforms to LaTeX code.",
"year": "The grade level annotated from each year examination.",
"difficult": "The difficult level annotated by examination scores.",
"knowledge": "Each knowledge points contained in the question, which is annotated by middle school teacher."
}
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