The Ring dataset was split into train, validation, and test sets with 90:5:5 ratio based on the Tanimoto similarity of reaction products using DeepChem. The General dataset splitting was retained from the work of Pesciullesi et al. Additionally, we performed a random split of the Ring dataset and trained the mixed fine-tuned model on the randomly split dataset to assess the effect of dataset splitting (SI §S8).