//doi.org/10.23729/2de314bb-59af-452a-955c-c2ff0c5ea57f). Moreover, we acknowledge that brute-force approaches to screening efforts on this scale remain elusive in most settings, even when using the fastest available docking methods. At the same time, giga-scale libraries are becoming more and more common and novel approaches to, e.g., ML-boosted docking, should thus be evaluated on giga-scale datasets. In the hope of providing a useful benchmarking dataset for such future applications, we further release our full giga-scale docking results for the two targets SurA and GAK.