ColliderML: Dataset Release 1 Dataset Description This dataset contains simulated high energy physics collision events generated using the Open Data Detector (ODD) geometry within the Key4hep and ACTS (A Common Tracking Software) frameworks, representing a generic collider detector similar to those at the HL LHC. Dataset Summary Collision Energy : 14 TeV (proton proton) Detector : Open Data Detector (ODD) Simulation : DD4hep + Geant4 + ACTS Format : Apache Parquet with list columns for variable length data License : CC BY 4.0 Available Configurations The dataset is organized into multiple configurations, each representing a combination of: Physics process (e.g., ttbar, ggf, dihiggs) Pileup condition (pu0 = no pileup, pu200 = HL LHC pileup) Object type (particles, tracker hits, calo hits, tracks) Supported Tasks This dataset is designed for machine learning tasks in high energy physics, including: Particle tracking : Reconstruct charged particle trajectories from detector hits Track to particle matching : Associate reconstructed tracks with truth particles Jet tagging : Identify jets originating from top quarks, b quarks, or light quarks Energy reconstruction : Predict particle ener…
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