The training dataset for this experiment was generated using the ZINC 15 dataset combined with PubChem molecules. The ZINC 15 dataset was downloaded as SMILES and parsed through RDKit to generate canonical SMILES with stereochemical information and kekulised. Any SMILES that did not parse through RDKit were rejected. The final set of SMILES strings was used to generate IUPAC names using the OpenEye Lexichem software. Several factors, including consistency with PubChem, influenced this decision: PubChem employs OpenEye Lexichem to generate IUPAC names. Using the same software ensured consistency with a major reference in the field. Also, OpenEye offers academic licenses, allowing us to use the software for scientific purposes without prohibitive costs.