In order to evaluate the ability of a conformer generator to produce a bioactive conformation, we use two datasets: Platinum 2017 and the refined subset of PDBBind 2020. The PDBBind refined set curates high quality protein-ligand structures from the Protein Data Bank with known binding affinities. Of the 5316 ligand structures in this set, 5313 could be processed by RDKit and are considered here (the remaining three all had a molecular weight of more than 900 Da). The Platinum dataset was designed for conformer generation evaluations and, in addition to considering the overall quality of a structure, evaluates the quality of the fit of a ligand structure to the electron density map, ensuring that the included conformations are accurate. It also imposes more stringent filtering, such as not considering molecules with more than 16 rotatable bonds or fewer than one (see Figure ). While the Platinum dataset provides a high-quality ground truth, the PDBbind dataset contains more challenging (i.e., flexible) ligands.