The selection process was carefully designed to ensure that both the training and testing sets represent the chemical diversity of the oxides as comprehensively as possible. This approach helps to prevent any particular group of elements, such as rare-earth elements, from disproportionately dominating the training dataset. Rare-earth elements, for example, have a relatively narrow range of acidity on the Smith scale, which could bias the training process if overrepresented.