Again, the described advances are exemplary cases of the synergy of deep learning-based models and the availability of training data. There are datasets extracted from US patents , the scientific literature , and high-throughput experiments (HTE) available . Recently, the Open Reaction Database (ORD) has been launched as a platform to replace unstructured reaction data in the supporting information of publications . If it is accepted by the research community, the ORD may become a part of the solution to problems caused by the aforementioned lack of data and report bias . Providing structured data in standardized formats may become a key step towards the digital transformation of synthetic chemistry.