SMILES-to-Text Description Dataset

This dataset contains 200 chemical compounds represented using SMILES notation paired with text descriptions. Each entry includes the SMILES string, compound name, structural features, and common applications. The dataset covers a wide range of organic molecules, including aromatic compounds, heterocycles, cyclic alkanes, nucleobases, and industrial chemicals. It is designed to support research in cheminformatics, SMILES-to-text generation, molecular property prediction, chemical NLP, and machine learning education. The data is provided in a simple, clean format suitable for training models that translate chemical structures into natural-language descriptions.