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This collection comprises datasets from the OpenML platform focused on Quantitative Structure-Activity Relationships (QSAR). It includes molecular descriptor data paired with biological activity measurements, which are fundamental for modeling the interaction between chemical structures and their biological effects. The datasets are sourced from a standardized machine learning repository, facilitating consistent access and integration. This curated set supports the development and validation of predictive models in computational chemistry and drug discovery.