hls4ml_lhc_jets_hlf
OpenML dataset with id 42468
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Full work available at URL: https://api.openml.org/data/v1/download/21854360/hls4ml_lhc_jets_hlf.arff
Upload date: 2 June 2020
Dataset Characteristics
Number of classes: 5
Number of features: 17 (numeric: 16, symbolic: 1 and in total binary: 0 )
Number of instances: 830,000
Number of instances with missing values: 0
Number of missing values: 0
Identify jets of particles from the LHC, created for the study of ultra low latency inference with hls4ml. Use 16 high level features to identify the 5 jet classes: quark (q), gluon (g), W boson (w), Z boson (z), or top quark (t).
The hls4ml paper: https://iopscience.iop.org/article/10.1088/1748-0221/13/07/P07027
The dataset DOI: https://doi.org/10.5281/zenodo.3602260
This page was built for dataset: hls4ml_lhc_jets_hlf
