For each torsion scan we compute an RMSD, choosing the structure with lowest reference energy to define the energy zero. Finally, we investigate errors on intermolecular interactions, as probed by the popular S66x8 benchmark. This dataset provides high level estimates (CCSD(T)-F12/CBS) of the binding energy of 66 molecular dimers, each at 8 intermolecular separations. For each of Datasets that add dipole moments may give improved point charges and thus improved performance. The fact that the predictions on the D output head are often the best and this dataset does not have any dipole moments to train to suggests that this is a secondary effect, though it may be quite important for prediction of long range energies probed by the S66x8 dataset, for which the single-task D model is poor.