{"data":{"id":"10.4121/3ea21446-b059-4813-b997-8c9e374262b1","type":"dois","attributes":{"doi":"10.4121/3ea21446-b059-4813-b997-8c9e374262b1","prefix":"10.4121","suffix":"3ea21446-b059-4813-b997-8c9e374262b1","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Huang, Tina Yuting","nameType":"Personal","givenName":"Tina Yuting","familyName":"Huang","nameIdentifiers":[{"nameIdentifier":"0000-0002-0138-4961","nameIdentifierScheme":"https://orcid.org/"}],"affiliation":[]}],"titles":[{"title":"Synthetic SAP VBAK Table and Event Logs for Unrolling Invoice-Credit Memo Hierarchical Loops"}],"publisher":"4TU.ResearchData","container":{},"publicationYear":2026,"subjects":[{"subject":"Information Systems","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"0806"},{"subject":"FOS: Computer and information sciences","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Information and Computing Sciences","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"08"},{"subject":"Process Mining"},{"subject":"Nested Loops"},{"subject":"Multi-instance Loops"},{"subject":"Loop Structure"},{"subject":"Recursive Data"}],"contributors":[{"name":"Self-funded Independent Researcher","nameType":"Organizational","affiliation":[],"contributorType":"Other","nameIdentifiers":[]}],"dates":[{"date":"2026-05-26","dateType":"Issued"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsVersionOf","relatedIdentifier":"10.4121/3ea21446-b059-4813-b997-8c9e374262b1.v1","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":["readme/txt, data/csv"],"version":"1","rightsList":[{"rights":"Creative Commons Attribution 4.0 International","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"This dataset contains synthetic event logs and relational data structures modeled after SAP ERP Order-to-Cash (O2C) flows, specifically focusing on the invoice-credit request process.The data architecture incorporates the Sales Document Header (\u003ccode\u003eVBAK\u003c/code\u003e) table, capturing transaction flows for credit and debit memo requests. The logs are intentionally engineered to evaluate process mining discovery algorithms on their capacity to handle complex, non-flat loop behaviors. It features multi-instance and nested loops that naturally occur when reconciling invoice disputes, processing recursive data structures, and unrolling repetitive loops across header-level document structures. This dataset serves as a domain-specific benchmark for event log quality assessments and loop structure identification in enterprise ERP environments.\u003cbr\u003eSelf-funded Independent Researcher. This research received no external funding, institutional resources, or corporate financial support. It was entirely self-funded by the 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