In summary, the solubility data quality can be reliably assessed by obtaining information on the structural variations, acidity of the molecules, pH of the solution, and supporting electrolytes. While pK a is relatively straightforward to evaluate nowadays, predicting structural variations presents more challenges and is still an open question . Nevertheless, progress in ML-based potentials and sophisticated structure search methodologies offer substantial potential for accurately predicting the energy landscapes of polymorphic structures.