Generating the dataset used for evaluating pose prediction pipelines necessitates removal of easy-to-dock ligands. Following Paggi et al. , we filter the Similarity Dataset to remove any ligand that has greater than 50% scaffold overlap with the cognate ligand of the receptor structure used for docking. If a ligand has high scaffold overlap with the cognate ligand then its probable the pocket is appropriately structured to bind the similar ligand. This reduces the set to 245 protein-ligand complexes for determining the performance of a pose prediction pipeline. These ligands are used as the 'docking ligand' during the evaluation of the pipeline.