Our first case demonstrates the ease with which one can conduct benchmark experiments for optimization of categorical parameter datasets using the high-level Olympus interface. This constitutes a minimal-code example where all operations of the benchmarking experiment are handled by the highest-level Olympus core class (Figure ). As an expository dataset, we select the suzuki edbo dataset, which reports yields for a Suzuki-Miyaura coupling reaction preformed on the nanomole scale using a automated flow-based synthesis platform. The reaction scheme, along with the search space is presented in Figure . This dataset consists of 5 categorical parmeters: the boronic acid derivative electrophile, aryl halide nucleophile, base used in the deprotonation step, Pd catalyst ligand, and solvent. Collectively, there are 3696 unique reactions.