The GEOM ( Geometric Ensemble Of Molecules) data set is a comprehensive resource containing high-quality conformers for 451,186 organic molecules. This includes 317,928 drug-like species with experimental data and 133,258 molecules from the QM9 data set. The dataset encompasses 304,466 molecules sourced from AICures (), a machine learning challenge focused on drug repurposing for COVID-19 and related illnesses, as well as 16,865 molecules from the MoleculeNet benchmark, annotated with experimental properties relevant to physical chemistry, biophysics, and physiology.