Construction of databases of small molecule properties that can be used to prototype and benchmark novel ML architectures have been the basis of many ground breaking machine learning development in the context of predicting molecular properties . Among many such datasets, QM9 dataset have been the gold standard for testing latest models. In the original QM9 dataset the molecular electronic energies were reported with density functional theory based calculations at the B3LYP/6-31G(2df,p) level of theory. Recently those were estimated with high accuracy composite quantum chemistry method (G4MP2) .