The exploration of quantum chemical databases and data sets for ML potentials has revealed a rich landscape of resources offering valuable data for training and validating these powerful tools. We have identified a diverse range of data sets and databases, each with its own strengths in terms of information content, level of theory, molecular coverage, and creation procedures.