mlsanityData to 14 Oct 2026

SAP Signavio Academic Models: A Large Process Model Dataset

arXiv 2208.12223 ↗First posted 24 Aug 2022cs.OH cs.SEcited by 11

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Abstract (arXiv)

In this paper, we introduce the SAP Signavio Academic Models (SAP-SAM) dataset, a collection of hundreds of thousands of business models, mainly process models in BPMN notation. The model collection is a subset of the models that were created over the course of roughly a decade on academic.signavio.com, a free-of-charge software-as-a-service platform that researchers, teachers, and students can use to create business (process) models. We provide a preliminary analysis of the model collection, as well as recommendations on how to work with it. In addition, we discuss potential use cases and limitations of the model collection from academic and industry perspectives.

Key facts. Cited by 11 papers in the map (data through 14 Oct 2026). First posted on arXiv 24 Aug 2022.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 4; 2025: 6; 2026: 1.

11 papers.

  1. 2024Evaluating the Ability of LLMs to Solve Semantics-Aware Process Mining Taskscited by 14
  2. 2024DABL: Detecting Semantic Anomalies in Business Processes Using Large Language Modelscited by 5
  3. 2024xSemAD: Explainable Semantic Anomaly Detection in Event Logs Using Sequence-to-Sequence Modelscited by 4
  4. 2024Towards a Benchmark for Large Language Models for Business Process Management Taskscited by 3
  5. 2025Automated Business Process Analysis: An LLM-Based Approach to Value Assessmentcited by 2
  6. 2025On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Taskscited by 2
  7. 2025LLMs that Understand Processes: Instruction-tuning for Semantics-Aware Process Miningcited by 2
  8. 2025Evaluating the Process Modeling Abilities of Large Language Models -- Preliminary Foundations and Resultscited by 1
  9. 2025On LLM-Assisted Generation of Smart Contracts from Business Processescited by 1
  10. 2025Detecting Undesired Process Behavior by Means of Retrieval Augmented Generationcited by 0
  11. 2026Beyond Control-Flow: Integrating the Resource Perspective into Multi-Collaborative Process Modeling from Textcited by 0