MAAC Complexity-Validated Decision Scenario Corpus v1.0

This dataset contains the complete corpus of 9,278 complexity-validated decision scenarios generated as part of Study 1 of the Multi-Dimensional Assessment for AI Cognition (MAAC) dissertation series. Each scenario includes associated complexity assessment metadata scored using a composite four-framework instrument spanning structural, cognitive, dynamic, and interactivity dimensions. The corpus was validated with near-perfect inter-rater reliability (ICC = .997) across three complexity tiers (simple, moderate, complex) and 12 decision domains. This dataset supports replication of findings reported in: "Automated Generation of Complexity-Validated Decision Scenarios Using Large Language Models."