Crystal structures, high-throughput calculations and trained machine learning models presented in the paper "Supervised machine learning methods for crystal structure prediction of the binary Cs-Te system". crystal_datasets contains the input/output data sets of crystal structures for high-throughput calculations and ML models. aiida_ht_calculations contains the data regarding the high-throughput DFT calculations. ml_models contains the trained ML models. Eeach zip-archive contains a jupyter-notebook examplifying how the data can be accessed and reused.