To overcome the challenge of asymmetry data aggregation, it is our opinion that leveraging data from other porous materials represents a promising solution when a specific material class lacks sufficient data (both in terms of number of materials and properties) for model training. For instance, the restricted data availability of only hundreds of COF structures may pose substantial obstacles when it comes to developing machine learning models to predict the properties of COFs.