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This collection comprises datasets from the QSAR-TID series, which contain molecular descriptor features paired with target property or activity values. These datasets are hosted on the OpenML platform and are standardized for machine learning applications. They are used for developing and validating Quantitative Structure-Activity Relationship models, a core task in cheminformatics and drug discovery. The series provides a benchmark suite for comparing model performance across different chemical endpoints.