Dataset for Non-resonant Anomaly Detection with Background Extrapolation

These are the datasets used in the Non-resonant Anomaly Detection with Background Extrapolation paper. The datasets are simulated using MadGraph5 aMC@NLO, Pythia 8.310, and Delphes. There are 65K signal events of semi-visible jets, 8.8M background events of SM QCD jets (including background, ideal AD background, and simulated background), and 0.3M signal and 0.4M background events for testing. The input parameter cards used for generating background and signal events are also included.