A potential strategy to circumvent the expensive QM descriptors calculations altogether would be to use pre-existing datasets. In recent years, various general-purpose public datasets of computed QM properties of molecules have been released. While these datasets have found dual use as benchmarking targets, as well as training data for generative models, their repurposing for (indirectly related) downstream predictive tasks, e.g., the prediction of chemical reactivity, has remained largely unexplored up to this point.