QLundLite: Small Radius Jet Dataset for Quantum Lund Network Training

MC16 Pythia8 dijet samples (DSIDs 364700–364707, JZ0W–JZ7W) processed for Small Radius Jet (SRJ) tagging studies. Each file corresponds to one JZ slice (one ROOT file per DSID). Contains Lund-plane splittings (SRJ_jetLundZ, SRJ_jetLundKt, SRJ_jetLundDeltaR), truth labels (SRJ_partonTruthLabel), kinematics (SRJ_pt, SRJ_eta), and baseline tagger scores (SRJ_QGScore, SRJ_GN3V00_*). Intended for training and evaluating the Quantum Lund Network (QLundNet) as part of the QLundLite teaching repository (https://github.com/Zhuyuanda/QLundLite). Selection: pT ∈ [20, 3200] GeV, |η| ≤ 4.5.