MOBIUSI INCThis dataset contains structured rhinology case information, including fields such as symptoms, nasal endoscopy and imaging findings, diagnoses, and affected side. Each case is accompanied by a reference consistency judgment and, where relevant, a contradiction category and explanation. It supports evaluation of models that detect conflicts between clinical fields, as well as research on structured rhinology data processing and consistency checking.
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| clinical_case | object | Original structured rhinology case information used as the input source. |
| contradiction_type | string | Reference category of the conflict between case fields, or none when the case is consistent. |
| expected_consistency | boolean | Reference judgment indicating whether the clinical case fields are mutually consistent. |
| contradiction_explanation | string | Brief explanation identifying the conflicting fields and the nature of the inconsistency, if present. |
| 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={Rhinology Clinical Case JSON Consistency Evaluation Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/ff11ee83e8b67b7d84ac383536f9737f},
urldate={2026-10-22},
keywords={rhinology dataset,clinical JSON evaluation,case consistency checking,clinical contradiction detection,nasal endoscopy data,medical data quality,electronic health record validation,medical AI evaluation},
version={1.0}
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