These are all the submitted samples to dataset 2 of the “Fast Calorimeter Simulation Challenge 2022”. They each consist of 100k calorimeter showers of electrons with energies sampled from a log-uniform distribution ranging from 1 GeV to 1 TeV. The training data (based on Geant4) can be found at https://doi.org/10.5281/zenodo.6366271 the paper describing the results is available on arXiv:2410.21611, and further details, in particular helper scripts to parse the data and calculate and visualize basic high-level physics features, are available at https://calochallenge.github.io/homepage/. The subscripts in the file names corresponds to the individual submissions: ID number Submission name Original reference _1 CaloDiffusion arXiv:2308.03876 _3 conv. L2LFlows arXiv:2405.20407 _4 CaloINN arXiv:2312.09290 _5 MDMA arXiv:2305.15254 arXiv:2408.04997 _7 Calo-VQ arXiv:2405.06605 _8 CaloScore arXiv:2206.11898, arXiv:2308.03847 _9 CaloScore distilled arXiv:2206.11898, arXiv:2308.03847 _10 CaloScore single-shot arXiv:2206.11898, arXiv:2308.03847 _13 iCaloFlow teacher arXiv:2305.11934 _14 iCaloFlow student arXiv:2305.11934 _15 SuperCalo arXiv:2308.11700 _22 DeepTree arXiv:2311.12616, arXiv:2312.00042 _23 CaloPointFlow arXiv:2403.15782 _27 CaloVAE+INN arXiv:2312.09290 _30 CaloLatent ML4PS@NeurIPS _32 CaloDiT ACAT _33 CaloDREAM arXiv:2405.09629 The samples here can be used to reproduce the results of arXiv:2410.21611 and as benchmarks for new models after the challenge concluded.