As indicated in the introduction, the training data for the surrogate neural network (vide infra) was extracted from a dataset recently released by Paton and co-workers, consisting of QM properties for radicals and associated closed shell molecules of less than ten heavy atoms, without formal charges on any of the atoms, and containing exclusively C, H, N, and O atoms. We complemented the registered descriptors, i.e., BDFEs, spin densities, and partial charges, with V bur values around the radical site and frozen BDE values computed at GFN2-xTB level of theory. V bur values were computed with the help of the Morfeus package with a radius of 3.5 Å. Frozen BDEs were computed by re-optimizing the extracted geometries at GFN2-xTB level of theory and then performing single-point calculations on the bond fragments, i.e., the organic radical and a hydrogen radical respectively. In total, the complete set of descriptors could be obtained for 186,240 dissociation reactions in this manner.