EXTREMA (short for Engineering Extremely Rare Events in Astrodynamics for Deep-Space Missions in Autonomy) enables self-driving spacecraft, challenging the current paradigm under which spacecraft are piloted in the interplanetary space [1]. Deep-space guidance, navigation, and control applied in a complex scenario is the subject of EXTREMA, which wants to engineer ballistic capture in a totally autonomous fashion. EXTREMA is erected on three pillars. Pillar 1 is on autonomous navigation. Pillar 2 involves autonomous guidance and control. Pillar 3 deals with autonomous ballistic capture. The outcomes from each one of the three pillars is validated with a tailored experiment featuring the model of the associated CubeSat subsystems. Integrated experiments involving all the components of a CubeSat GNC system are carried on in the EXTREMA Simulation Hub, an integrated facility simulating an interplanetary transfer with a hardware-in-the-loop setup. The project has been awarded a European Research Council (ERC) Consolidator Grant in 2019. The data set is made of 1000 (even more in some releases) random interplanetary mission scenarios used for hardware-in-the-loop simulations performed in the EXTREMA simulation Hub (ESH). Scenario comes with the following information: generation seed, initial epoch, initial state (Keplerian elements and Cartesian coordinates), initial attitude (quaternion and direct cosine matrix), initial mass, number of revolution, time of flight, target final epoch, target final state (Keplerian elements and Cartesian Coordinates), and other supplementary data. Scenarios are organized in directories each containing at least the following files: 'esh_ic.json': random scenario information saved in .json format; 'esh_ic.mat': random scenario information saved in .mat format. Some releases provide only a limited set of data in the 'esh_ic.json' file. For those, the full set of information is found in the 'esh_ic_full.json' file. For additional information about the EXTREMA project visit the page extrema.polimi.it. References [1] Di Domenico G., et al. "The ERC-Funded EXTREMA Project: Achieving Self-Driving Interplanetary CubeSats." Modeling and Optimization in Space Engineering: New Concepts and Approaches. Cham: Springer International Publishing, 2022. 167-199. DOI: 10.1007/978-3-031-24812-2_6.