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In particle detectors at the Large Hadron Collider, tens of terabytes of dataare produced every second from proton-proton collisions occurring at a rate of40 megahertz. This data rate is reduced to a sustainable level by a real-timeevent filter processing system which decides whether each collision eventshould be kept for further analysis or be discarded. We introduce a dataset ofproton collision events which emulates a typical data stream collected by sucha real-time processing system, pre-filtered by requiring the presence of atleast one electron or muon. This dataset could be used to develop novel eventselection strategies and assess their sensitivity to new phenomena. Inparticular, by publishing this dataset we intend to stimulate a community-basedeffort towards the design of novel algorithms for performing unsupervised NewPhysics detection, customized to fit the bandwidth, latency and computationalresource constraints of the real-time event selection system of a typicalparticle detector.

LHC physics dataset for unsupervised New Physics detection at 40 MHz