Figure shows that the model trained on Reaxys marginally outperforms that trained on the USPTO dataset, at the expense of longer prediction times. Furthermore, we show that as the size of the dataset increases to a combination of both Reaxys and the combined patents data (USPTO and Pistachio), the overall performance of the model decreases with regards to both time and number of routes identified.