The DOI displayed 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: 10.4121/14626020

Eric Verbeek (2021): Process Discovery Contest 2020. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/14626020.v1

Usage statistics

Categories

• Information Systems

Keywords

Artificial event logs PDC 2020 Process Discovery Contest Task Force on Process Mining

Licence

CC0

Export as...

RefWorks BibTeX Reference Manager Endnote DataCite NLM DC CFF

by Eric Verbeek

This is the data set that was used for the Process Discovery Contest of 2020 (PDC 2020). The data set contains 192 training logs, 192 corresponding test logs, 192 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).

History

• 2021-05-21 first online, published, posted

Publisher

4TU.ResearchData

Format

IEEE XES ISO PNML

References

• https://icpmconference.org/2020/process-discovery-contest/

Organizations

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