Process Discovery Contest 2021

doi: 10.4121/16803232.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: 10.4121/16803232
Datacite citation style:
Eric Verbeek (2021): Process Discovery Contest 2021. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/16803232.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
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This data set contains the data set as was used for the Process Discovery Contest of 2021 (PDC 2021). 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).
history
  • 2021-10-13 first online, published, posted
publisher
4TU.ResearchData
format
IEEE XES ISO PNML
organizations
Task Force on Process Mining (https://tf-pm.org)

DATA

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