"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."

本数据集包含200种采用简化分子线性输入规范（SMILES）标记法表示的化合物，并配有对应文本描述。每条数据条目均包含对应的SMILES字符串、化合物名称、结构特征与常见应用场景。本数据集涵盖多类有机分子，包括芳香族化合物、杂环化合物、环烷烃、核碱基以及工业化学品。本数据集旨在为化学信息学、SMILES到文本生成、分子性质预测、化学自然语言处理及机器学习教育相关研究提供支撑。数据集采用简洁清晰的格式存储，适用于训练可将化学结构转换为自然语言描述的机器学习模型。