To focus on drug-like molecules, SMILES codes with more than 10 hydrogen bond acceptors or more than 5 hydrogen bond donors were removed. Additionally, molecules with a mass greater than 500 were filtered out, further aligning the dataset with criteria typically used for drug-like compound properties. Finally, molecules with a non-zero charge were excluded to maintain focus on neutral compounds. The training set contained 30 structured examples from this list for selecting bootstrap examples from, while the validation set contained a second set of 30 that were used to validate prompt performance.