MIT Level 6 Fine-Grained, Full-Coverage, Lossless Critical Thinking Knowledge Graph

This dataset, based on three transcripts from Modules 1–3 of MIT's Critical Thinking and Decision Making course, constructs a six-level, fine-grained, quantifiable knowledge graph. It organises all key content hierarchically as ‘Course → Module → Topic → Concept → Proposition → Exemplification’, presenting argument chains and case evidence through an auditable node-edge structure. The dataset simultaneously provides structural edges (contains) and semantic edges (exemplifies). Quantitative information such as numbers, percentages, year ranges, and ratios is extracted and structured within nodes. This supports diverse research and engineering applications including GraphRAG retrieval, argument analysis, course content mining, and decision modelling.