Machine Learning scientific competitions and datasets

TL;DR

This paper reviews recent scientific competitions in High Energy Physics, highlighting datasets, platforms, and guidelines for organizing such events to foster innovation in event reconstruction, classification, and physics discovery.

Contribution

It provides a comprehensive summary of four recent competitions and offers guidelines for organizing future scientific competitions in High Energy Physics.

Findings

Summarized four recent High Energy Physics competitions

Described available datasets and platforms for competitions

Provided guidelines for organizing scientific competitions

Abstract

A number of scientific competitions have been organised in the last few years with the objective of discovering innovative techniques to perform typical High Energy Physics tasks, like event reconstruction, classification and new physics discovery. Four of these competitions are summarised in this chapter, from which guidelines on organising such events are derived. In addition, a choice of competition platforms and available datasets are described