Non-Bonded Parameters. The basis of the physical property training dataset was sourced from the NIST ThermoML Archive via OpenFF-Evaluator and is identical to that used in the training of OpenFF-Sage , except for the addition of six pure water densities distributed between temperatures of 281.15K-359.15K at standard pressure. These properties were included to regularise the water parameters to ensure the pure water properties were not degraded during training. The final training dataset consisted of 76 neat liquid densities, 485 densities of binary mixtures and 477 enthalpies of mixing of binary mixtures. The complete training dataset can be found in the Supporting Data in a format readable by Evaluator .