Previous studies have demonstrated that models built on the USPTO dataset, can predict one-step synthesis. We show that despite the seemingly lower amount of data in the USPTO dataset compared to Reaxys (Table ). The USPTO dataset accounts for 44.8 % of the template library obtained from a combination of all datasets examined, in comparison to 53.7 % which comes from Reaxys. Whilst there is a 8.9 % difference and the coverage of the reaction space that the templates encode varies (Figure ), this does not appear to be a limiting factor for route prediction in the medicinal chemistry domain.