Circular Reasoning Bias Detection Dataset: 200K AI Algorithm Evaluations (Sample v1.0)

This sample dataset contains 2,000 AI algorithm evaluation records designed for detecting circular reasoning bias in experimental design. The dataset includes performance metrics, constraint specifications, and temporal evaluation sequences across computer vision, natural language processing, and recommender system domains. This data supports the research presented in 'A Comprehensive Statistical Framework for Detecting Circular Reasoning Bias in AI Algorithm Evaluation: Theory, Implementation, and Empirical Validation'. Full 200K dataset will be released as v2.0 upon paper acceptance.