MOBIUSI INCThis dataset covers guest prompts about room rates, incidental charges, and other billing items, alongside proposed hotel billing-service responses for evaluation. Responses are segmented into steps, with step-level and overall compliance labels based on billing details, authorization scope, privacy requirements, and service policies; examples focus on cases where constraints are not met. The data supports process verifier training and evaluation, helping identify erroneous steps and compliance risks in billing communications.
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| guest_prompt | string | The guest's question or concern about room charges, incidental expenses, or another billing item, including any provided billing context and applicable constraints. |
| response_steps | array | The candidate response segmented into steps, with each step annotated for compliance with relevant billing, authorization, privacy, and service-policy constraints. |
| candidate_response | string | The complete proposed hotel billing-service response to be evaluated, before step extraction and verification. |
| overall_assessment | string | A concise explanation of the overall verification judgment, highlighting any material step-level compliance failures. |
| overall_compliance_status | string | The overall judgment of whether the candidate response complies with the constraints across its steps. |
| 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 |

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@dataset{Mobiusi2026,
title={Luxury Hotel Billing Dispute Step Verification Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/468076eeff8955e22bc0f52541d56bcb},
urldate={2026-10-26},
keywords={luxury hotel dataset,hotel billing disputes,billing service quality,step verification data,constraint compliance detection,process verifier training,hotel customer service training,billing response evaluation},
version={1.0}
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