The results depend on the property being analysed (Table : HBA, HBD, MW, logP; Supporting Table : number of aliphatic and aromatic rings and of rotatable bonds, TPSA). Moreover, the distribution learning ability depends on the size of the training set (Table and Table ). Smaller training sets (1000 and 2500 molecules) yielded higher KS values compared to bigger ones (5000 molecules and above), highlighting the difficulty of learning property distributions properties from limited data. Certain properties (i.e., number of aliphatic rings, logP, rotatable bonds, and hydrogen bond donor) were less affected by the augmentation strategy, with no clear property-augmentation trends.