By construction, learning on such data sets will have only a limited transferability to real (aka defected) or dynamic (aka finite temperature) systems for which information away from the minima would be required. Our aim in creating the LTO-EFG tensor database is therefore to provide a large (68,880 tensors in total) complementary database of DFT-calculated EFG tensors representative of real experimental applications.