Event Logs

Our event log collection spans a wide range of sizes, from lightweight logs that download and load quickly to large, real-world logs that can require more memory and longer loading times. If you want something small and easy to start with, we recommend the LRMs Collection and Inventory Management datasets (both MB-scale), or Hinge Production (only a few thousand events). The mid-sized logs—such as Procure-to-Pay (P2P), Order Management, Logistics, and Angular GitHub Commits—are typically comfortable to work with on a standard laptop (tens of thousands of events). The largest datasets—such as (Un)Fair, German Bundestag, Enron emails, AoE2 gameplay, and the Ethereum blockchain—range from hundreds of MB up to GB-scale, so we suggest starting with any provided smaller subsets/checkpoints (e.g., Enron’s smaller checkpoints or AoE2’s small sample) before scaling up.

Name Full Description Preview Download
Logistics Details Inspect
Order Management Details Inspect
Procure-to-Pay Details Inspect
LRMS collection Details Inspect
Hinge Production (sustainability-enriched) Details
Unfair OCEL(s) Details Inspect
Inventory Management Database and OCELs Details Inspect
Angular Github commits Details
AoE2 Gameplay Details
Ethereum Blockchain Details
Enron Email Dataset Details
German Bundestag Legislative Processes Details Inspect
LRMs Reasoning Steps Details Inspect

Publications Citing These Datasets

The references below are linked to the Zenodo concept DOI or version DOI records through DataCite and OpenAlex cited-by metadata. For Zenodo records that have both concept and version DOIs, the DOI shown is the one connected by the citation index. Citation indexes can lag behind newly published work; this list was last checked on May 19, 2026.

Citing publication Zenodo dataset DOI(s) cited
Alina Buss, Christoph Kecht, Wolfgang Kratsch, Maximilian Röglinger, Sareh Sadeghianasl, and Moe T. Wynn. “From Words to Workflows: Extracting Object-Centric Event Logs from Textual Data.” Lecture Notes in Business Information Processing, 2025, pp. 37-44. AoE2 Gameplay (10.5281/zenodo.13365584); Hinge Production (10.5281/zenodo.13638681); Logistics (10.5281/zenodo.8428084); Order Management (10.5281/zenodo.8428112); Procure-to-Pay (10.5281/zenodo.8412920)
Ednira De Moura Figueiredo and Amin Jalali. “Discovering Object-Centric Causal Nets with Edge Abstraction.” Complex Systems Informatics and Modeling Quarterly, issue 45, 2025, pp. 20-42. LRMs Collection (10.5281/zenodo.13879980); Logistics (10.5281/zenodo.8428084); Order Management (10.5281/zenodo.8337463); Procure-to-Pay (10.5281/zenodo.8412920)
Ednira De Moura Figueiredo and Amin Jalali. “Discovering Object-Centric Causal Nets with Edge-Coarse-Graining in Process Mining.” Lecture Notes in Business Information Processing, 2026, pp. 201-218. Order Management (10.5281/zenodo.8337463); Procure-to-Pay (10.5281/zenodo.8412920)
Jan Niklas Adams, Emilie Hastrup-Kiil, Gyunam Park, and Wil M. P. van der Aalst. “Super Variants.” Lecture Notes in Computer Science, 2024, pp. 111-128. Procure-to-Pay (10.5281/zenodo.8412920)
Marius Breitmayer, Lisa Arnold, David Goth, and Manfred Reichert. “An Approach for Discovering Data-Driven Object Lifecycle Processes.” Lecture Notes in Business Information Processing, 2024, pp. 237-254. Procure-to-Pay (10.5281/zenodo.8412920)
Shubham and Meenakshi D’Souza. “Formal verification of distributed, data-intensive microservice applications using Petri Nets.” Proceedings of the 19th Innovations in Software Engineering Conference, 2026, pp. 1-4. Procure-to-Pay (10.5281/zenodo.8412920)
Florian Eckhard, Holger Wittges, and Stefanie Rinderle-Ma. “Process Visualizations for Object-Centric Process Mining: An Evaluation Taxonomy.” Lecture Notes in Business Information Processing, 2026, pp. 99-116. Procure-to-Pay (10.5281/zenodo.8412919)
Leah Tacke Genannt Unterberg, István Koren, and Wil M. P. van der Aalst. “The Internet of Production: Accelerating the Optimization of Production Processes via Models-in-the-Middle.” Internet of Things, 2026, pp. 251-281. Logistics (10.5281/zenodo.8428084)
Cristiana Vieira, Vânia Sousa, António Vieira, and Maribel Yasmina Santos. “Convergence of Business and Their Processes: A Data Analytics Approach.” Lecture Notes in Business Information Processing, 2025, pp. 94-109. Order Management (10.5281/zenodo.8428112)
Andreas Egger, Tobias Fehrer, Wolfgang Kratsch, Niklas Wördehoff, Fabian König, and Maximilian Röglinger. “Refining the process picture: Unstructured data in object-centric process mining.” Information Systems, volume 134, 2025, article 102582. Order Management (10.5281/zenodo.8428112)
Vânia Sousa, Ana Lavalle, Alejandro Maté, António Vieira, and Maribel Yasmina Santos. “Extending iStar for Synthetic Data Generation and Simulation Modeling for Industry 5.0.” Lecture Notes in Computer Science, 2026, pp. 55-64. Order Management (10.5281/zenodo.8428112)
Maike Basmer, Martin Kabierski, Kristina Sahling, Agnieszka Patecka, Saimir Bala, and Jan Mendling. “A Classification of Data Quality Issues in Object-Centric Event Data.” Lecture Notes in Business Information Processing, 2025, pp. 311-323. Angular Github commits (10.5281/zenodo.8430332)