In the context of synthetic data, Coherence refers to how logically consistent and realistic the relationships between different data attributes are. Coherent synthetic data preserves patterns, correlations, and dependencies found in real data, making it useful for reliable testing, analysis, or machine learning without introducing contradictions or unrealistic combinations.