A set of MC simulated training/testing events for the training/evaluation of neutrino regression models. Training set contains 585600 events split across 5 files We leave it up to the individual how to split this dataset for cross validation Testing set contains 94293 events and should only be used for final evaluation Simulation Details Events are generated from simulated proton-proton collisions at a center-of-mass energy of 13 TeV. Mass of the top quark is set to 173 GeV. Hard interactions are simulated using MadGraph5 (v3.1.0), with decays of top quarks and W bosons modeled with MadSpin. Event generation is interfaced to Pythia (v8.243) to model parton shower and hadronization. Detector response is simulated using Delphes (v3.4.2) with a parametrization that mimics the response of the ATLAS detector. Event Reconstruction and Selection Jets are reconstructed using energy-flow objects and the anti-kt algorithm with R=0.4. Jet b-tagging corresponding to an inclusive signal efficiency of 70%. At least four jets with pT > 25 GeV in the range |eta|<2.5 are required. Exactly one reconstructed electron or muon with pT > 15 GeV in the range |eta|<2.5 is required. File Contents Each HDF file contains the “delphes” table which holds multiple arrays and structured arrays. The reconstructed information includes: MET: The missing transverse momentum of the event (stored using polar cords) Keys: MET, phi leptons: The single reconstructed lepton in the event: Keys: pt, eta, phi, energy, charge, type jets: A zero padded table of the leading 10 jets in the event Keys: pt, eta, phi, energy, is_tagged njets: Numpy array holding the number of reconstructed jets in the event nbjets: Numpy array holding the number of b-tagged jets The truth/generator level information includes: truth_neutrinos: Truth level information of the single neutrino in the event Keys: PDGID, pt, eta, phi, mass truth_quarks: Table of information for the four signal quarks in the semileptonic ttbar decay (blep, bhad, Wq1, Wq2) Keys: PDGID, pt, eta, phi, mass jets_indices: A numpy array containing the identity of each of the jets in the reconstructed jet table 0 = blep, 1 = bhad, 2 = Wq1, 3 = Wq2