Supervised jet clustering reference data

A set of MC simulated events for training/testing machine learning architectures for the task of supervised jet clustering.
In total 100,000 W' events and 100,000 q* events
Description:
* 13 TeV collision data simulated with pythia 8.183.
* wboson.txt contains events generated from a W' boson with a mass of 600 GeV, which decays 100% of the time to a W boson and a Z boson. The W boson is forced to decay haronically and the Z boson decays into neutrinos.
* qstar.txt contains events generated from a excited quark q* with a mass of 600 GeV, which decays 100% of the time to a quark and a Z boson. The Z boson is forced to decay into neutrinos.
* events in the text format
* each line in the text represent one event, which contains variable number of detector-stable particles.
* each particle contains 7 features in order: [px, py, pz, E, pdgID, is-from-W, is-in-leading-jet]. The first four features are the four momentum of the particle, and pdgID is the pag number of the particle. is-from-W is 1 if the particle coming from W boson and 0 otherwise. is-in-leading-jet is 1 if the particle is inside the leading jet reconstructed from the anti-kT jet algorithm (R=1.0).