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- ---
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- license: mit
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- task_categories:
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- - question-answering
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- language:
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- - en
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- size_categories:
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- - 1K<n<10K
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- ---
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- **MV-MATH** is a meticulously curated dataset of 2,009 high-quality mathematical problems. Each problem integrates multiple images interleaved with text, derived from authentic K-12 scenarios, and enriched with detailed annotations. **MV-MATH** includes multiple-choice, free-form, and multi-step questions, covering 11 subject areas across 3 difficulty levels, and serves as a comprehensive and rigorous benchmark for assessing MLLMs’ mathematical reasoning in multi-visual contexts.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: mit
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+ task_categories:
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+ - question-answering
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+ language:
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+ - en
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+ size_categories:
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+ - 1K<n<10K
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+ ---
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+ **Introduction of MV-MATH:**
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+
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+ **MV-MATH** is a meticulously curated dataset of 2,009 high-quality mathematical problems. Each problem integrates multiple images interleaved with text, derived from authentic K-12 scenarios, and enriched with detailed annotations. **MV-MATH** includes multiple-choice, free-form, and multi-step questions, covering 11 subject areas across 3 difficulty levels, and serves as a comprehensive and rigorous benchmark for assessing MLLMs’ mathematical reasoning in multi-visual contexts.
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+
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+
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+ **Data Format**
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+ The dataset is provided in json format and contains the following attributes:
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+ ```python
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+ {
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+ "problem_id": the id number of each problem,
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+ "question": the input question text,
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+ "input_image": the images related to the question,
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+ "is_multi_img": true, every question in MV-MATH is with more than 2 images,
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+ "answer": the answer of the question,
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+ "answer_type": choice or free-form or multi-step,
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+ "difficulty": Low, Medium or High,
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+ "grade": Elementary, Junior or Senior,
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+ "subject": Analytic Geometry, Algebra, Metric Geometry, Combinatorics, Transformation Geometry, Logic, Solid Geometry, Arithmetic, Combinatorial Geometry, Descriptive Geometry or Statistics,
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+ "image_relavance": 0 or 1, 1 represents that images are interrelated and understanding one image necessitates information from another, and 0 means that images are unrelated and can be interpreted independently without reference to other images,
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+ "analysis": More detailed problem-solving process
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+ }
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+ ```
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+ Here is an example:
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+ ```python
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+ {
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+ "problem_id": 1,
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+ "question": "In the given solid shapes, which can be obtained by rotating a plane figure around a certain straight line for a full revolution?\nA.\n\n<image_1>\nB.\n\n<image_2>\nC.\n\n<image_3>\nD.\n\n<image_4>",
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+ "input_image": [
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+ "batch10-2024_06_14_13894f5e3499bf65de58g_0006_1.jpg",
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+ "batch10-2024_06_14_13894f5e3499bf65de58g_0006_2.jpg",
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+ "batch10-2024_06_14_13894f5e3499bf65de58g_0006_3.jpg",
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+ "batch10-2024_06_14_13894f5e3499bf65de58g_0006_4.jpg"
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+ ],
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+ "is_multi_img": true,
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+ "answer": "B",
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+ "answer_type": "choice",
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+ "difficulty": "Low",
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+ "grade": "Junior",
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+ "subject": "Solid Geometry",
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+ "image_relavance": "0",
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+ "analysis": "Solution: Since a solid obtained by rotating a plane figure around a certain straight line must have a curved surface,\n\nTherefore, option B fits the requirement;\n\nHence, the answer is: B.\n\n[Key Insight] This question examines the concepts of points, lines, surfaces, and solids. Understanding that \"a moving point forms a line, a moving line forms a surface, and a moving surface forms a solid\" is crucial to solving the problem."
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+ }
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+ ```