Coordination numbers and geometries form a theoretical framework for understanding predicting materials properties. Algorithms to determine coordination automatically are increasingly used machine learning (ML) automatic structural analysis. In this work, we introduce MaterialsCoord, benchmark suite containing 56 experimentally derived crystal structures (spanning elements, binaries, ternary co...