System visual reasoning data
Our STEM Reasoning Dataset is a curated collection of image-based and diagram-driven tasks spanning Physics, Chemistry, and Mathematics. This dataset is designed to train and evaluate a model’s ability to perform logical deduction, symbolic matching, and visual-spatial inference across scientific disciplines.
Each task includes carefully structured visuals such as scientific diagrams, equations, and problem scenarios, accompanied by questions and structured answers. The dataset emphasizes conceptual understanding and analytical reasoning, making it ideal for AI models focused on education, tutoring, or scientific problem-solving. We also offer customization options to align the content with your curriculum or evaluation framework, ensuring maximum relevance for your use case.
Sample Data
Subject: Chemistry


