This dataset is for AI models to train to learn to extract critical information from problem statements and methodically derive solutions. This type of dataset proves particularly valuable for developing automated question-answering systems and AI applications requiring sophisticated reasoning capabilities.
50.000+ text + multimodal competition level problems, each with step-by-step solutions and final answers
Language:
English, Chinese
Format
Natural language explanations with multimodal samples include images (graphs, diagrams, etc.)
Diversity
Mathematics/Physics and etc
Labeling Details
Question ID/Question Stem (Full text/content) /Subject/Question Type (Multiple Choice/Short Answer format specification) /Correct Answer / Knowledge Points / Detailed Explanation / Image Inclusion Flag
People also searched for
University-level Business, Law, Medicine Reasoning Corpus
This dataset is for AI models to train to learn to extract critical information from problem statements and methodically derive solutions. This type of dataset proves particularly valuable for developing automated question-answering systems and AI applications requiring sophisticated reasoning capabilities.
University-level Mathematics, Physics, Chemistry, Computer Science Reasoning Corpus
This dataset is for AI models to train to learn to extract critical information from problem statements and methodically derive solutions. This type of dataset proves particularly valuable for developing automated question-answering systems and AI applications requiring sophisticated reasoning capabilities.
K12 (Primary/Junior/Senior High) Testing Questions Across all Subjects
This dataset is for AI models to train to learn to extract critical information from problem statements and methodically derive solutions. This type of dataset proves particularly valuable for developing automated question-answering systems and AI applications requiring sophisticated reasoning capabilities
This dataset supports AI training in code comprehension, debugging, and complex logic reasoning, enabling applications such as automated code generation, technical documentation assistants, and intelligent programming tutors.
