We anticipate that the public release of multiple large-scale chemical bioactivity datasets will empower the growing computational science and ML community to develop more advanced DEL-ML approaches with significantly higher confirmatory hit rates. We further hope that this open science initiative will have a transformative edect on drug discovery, similar to how public access to protein sequences and 3D structures has driven the development of revolutionary deep learning methods for protein structure prediction, such as AlphaFold 28 and RosettaFold .