As shown in Table , the prediction quality of the model trained on 100 million data points reduces as the length of the SMILES increases. In contrast, the model trained on 1 billion data points maintains better prediction quality across accuracy, retranslation using OPSIN, and average Tanimoto similarity despite the increased complexity of the IUPAC names.