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DOI: 10.4121/21261402

Eric Verbeek (2025): Process Discovery Contest 2022. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/21261402.v2

x choose version: version 1 - 2022-10-03

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Categories

• Information Systems
• Information and Computing Sciences

Keywords

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

Licence

CC0

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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). 

History

• 2022-10-03 first online

• 2025-02-10 published, posted

Publisher

4TU.ResearchData

Format

IEEE XESISO PNML

References

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

Organizations

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