Process Discovery Contest 2024

doi:10.4121/3cfcdbb7-c909-4f60-8bec-62c780598047.v1
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: 10.4121/3cfcdbb7-c909-4f60-8bec-62c780598047
Datacite citation style:
Eric Verbeek (2024): Process Discovery Contest 2024. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/3cfcdbb7-c909-4f60-8bec-62c780598047.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

This data set contains the data set as was used for the Process Discovery Contest of 2024 (PDC 2024).

The data set contains 288 training logs, 96 corresponding test logs and base 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 fileformat (see

https://www.iso.org/obp/ui/#iso:std:iso-iec:15909:-2:ed-1:v1:en).

history
  • 2024-09-23 first online, published, posted
publisher
4TU.ResearchData
format
IEEE XES, ISO PNML
organizations
Task Force on Process Mining (https://tf-pm.org)

DATA

files (6)