MOBIUSI INCDesigned for casual dining scenarios, this dataset provides text descriptions of table and seat assignments, ordered items, kitchen dependencies, and service states, alongside proposed order-handling, kitchen, and serving workflows. Each intermediate step is labeled for constraint compliance, with a focus on order ownership, action sequence, and state transitions. It supports process verifier training and evaluation by helping models identify violations during execution rather than judging only the final outcome.
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| scenario_text | string | Text describing the restaurant context, including table and seat assignments, order items, kitchen dependencies, and relevant service states. |
| validation_steps | array | Constraint verification results for each intermediate workflow step. |
| violation_summary | string | Concise summary of workflow violations, or an empty string when the workflow is fully compliant. |
| proposed_workflow_text | string | Text describing the ordered sequence of order handling, kitchen, and service actions to be evaluated. |
| overall_workflow_compliant | boolean | Whether every evaluated step satisfies the applicable order ownership, operation sequence, and state transition constraints. |
| Authorization Type | Proprietary - Commercial AI Training License (No Redistribution) |
| Commercial Use | Requires exclusive subscription or authorization contract (monthly or per-invocation charging) |
| Privacy and Anonymization | No PII, no real company names, simulated scenarios follow industry standards |
| Compliance System | Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs |

Post a request and let data providers reach out to you.
@dataset{Mobiusi2026,
title={Restaurant Order-to-Service Workflow Constraint Verification Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/31eb923ba93a526360627c6d3f1fda79?cate=3},
urldate={2026-10-21},
keywords={restaurant order workflow dataset,serving workflow verification,restaurant constraint checking,process verifier training,order ownership validation,kitchen coordination workflow,service state transitions,restaurant workflow evaluation},
version={1.0}
}Using this in research? Please cite us.