Rhinology Clinical Case JSON Consistency Evaluation Dataset

#Clinical Consistency Checking #Contradiction Detection #Contradiction Classification #Structured Case Validation #Rhinology Data Processing #Electronic Health Record Quality Control #Clinical Data Validation #Medical AI Evaluation
Records
5834
Size
0.5GB
Format
JSON
Provider
MOBIUSI INCMOBIUSI INC
Updated
v1.02026-11-04
AI Analysis & Value Prop

This 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.

Overview

Dataset Insights

Preview

Sample Examples

sample.json
{}

Schema

Technical Specifications

file_namestringFile name
clinical_caseobjectOriginal structured rhinology case information used as the input source.
contradiction_typestringReference category of the conflict between case fields, or none when the case is consistent.
expected_consistencybooleanReference judgment indicating whether the clinical case fields are mutually consistent.
contradiction_explanationstringBrief explanation identifying the conflicting fields and the nature of the inconsistency, if present.

Trust

Compliance Statement

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

FAQ

Frequently Asked Questions

What does the dataset contain?
Each record includes structured rhinology case information and a reference consistency judgment. When a contradiction is present, the record also provides its category and an explanation. Case information may cover symptoms, nasal endoscopy and imaging findings, diagnoses, and affected side.
Which capabilities can this dataset evaluate?
It can evaluate whether a model checks consistency across case fields, detects conflicting information, and classifies or explains contradictions. It can also support validation of quality-control workflows for structured clinical information.
What is the dataset size, and how can it be obtained?
The available information does not specify the number of records, delivery format, or access process. Confirm the dataset size, delivery method, and update schedule with the provider before purchase or integration.
What are the licensing terms and clinical-use restrictions?
Licensing terms and clinical-use permissions are not specified in the available information. Confirm permitted use, privacy requirements, and compliance obligations with the provider. This dataset is intended for model evaluation and research and should not replace professional clinical judgment.

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Cite this Work

@dataset{Mobiusi2026,
  title={Rhinology Clinical Case JSON Consistency Evaluation Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/ff11ee83e8b67b7d84ac383536f9737f?dataset_scene_id=4},
  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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