The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/21261402

Eric Verbeek (2022): Process Discovery Contest 2022. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/21261402.v1

Dataset

• Information Systems

Artificial event logs, PDC 2022, Process Discovery Contest, Task Force on Process Mining

CC0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Eric Verbeek

This data set contains the data set as was used for the Process  Discovery Contest of 2022 (PDC 2022). The data set contains 480 training  logs, 96 corresponding test logs, 96 corresponding ground truth logs,  and 96 models. The logs are all stored using the IEEE XES file format  (see either https://www.xes-standard.org/ or  https://ieeexplore.ieee.org/document/7740858), while the models are  workflow nets (a subclass of Petri nets) stored in the PNML file
format (see https://www.iso.org/obp/ui/#iso:std:iso-iec:15909:-2:ed-1:v1:en). 

• 2022-10-03 first online, published, posted

4TU.ResearchData

IEEE XES ISO PNML

• https://icpmconference.org/2022/process-discovery-contest/

Task Force on Process Mining (https://tf-pm.org)