Chronic Liver Disease Evidence Applicability Failure Dataset
- Records
- 4120
- Size
- 0.4GB
- Format
- JSON
- Provider
MOBIUSI INC- Updated
- v1.02026-11-05
This dataset focuses on challenging fact-verification examples from academic papers on chronic hepatitis and steatotic liver disease. Each record links a claim to an evidence excerpt and source information, with assessments of applicability and verification rationale. Examples cover scope errors such as generalizing subgroup findings to all patients, conflating surrogate endpoints with clinical outcomes, and overlooking limitations in follow-up duration or study design. It supports medical literature review, evidence sufficiency assessment, and healthcare information quality control.
Overview
Dataset Insights
Preview
Sample Examples
Schema
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| claim_text | string | The original medical claim to be fact-checked, preserving its original wording. |
| risk_level | string | Rates the sample's potential to mislead based on the applicability gap between the claim and the evidence. |
| claim_scope | object | The target population, intervention or exposure, outcome, and time frame parsed from the claim. |
| error_types | array | One or more fact-verification risks identified from the perspective of evidence applicability. |
| evidence_scope | object | The scope covered by the study evidence, extracted for comparison with the claim scope. |
| evidence_excerpt | string | An excerpt from the paper, abstract, or structured evidence that supports or limits the claim. |
| source_reference | object | Information about the original publication and study associated with the claim and evidence excerpt. |
| support_gap_detected | boolean | Indicates whether relevant evidence exists but its scope, outcomes, timing, or study design is insufficient to support the full claim. |
| verification_rationale | string | Explains why the evidence does or does not support the claim, with emphasis on differences between the claim scope and the actual evidence scope. |
| applicability_assessment | string | An overall judgment of whether the evidence is sufficient to support the claim as stated. |
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?
- Examples pair medical claims about chronic hepatitis and steatotic liver disease with research evidence. Fields include claim text, evidence excerpts, source references, applicability assessments, error types, and verification rationales.
- Which training and evaluation tasks does it support?
- It can support evidence verification, evidence sufficiency classification, claim-evidence scope alignment, and detection of risks such as generalizing subgroup results or confusing surrogate endpoints with clinical outcomes. It can also evaluate whether a model identifies evidence limitations rather than relying on topic relevance alone.
- How can the evidence and sources be checked?
- Records provide evidence excerpts and source information to support tracing and review. For use in research or clinical workflows, verify the population, outcomes, follow-up period, and study design against the original paper; excerpts do not replace review of the full text and study quality.
- How can I obtain the dataset, and what license applies?
- Refer to the product page for available download methods, version details, and license terms. Before use, check permitted uses, redistribution restrictions, and citation requirements. No specific license is stated in this description.
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Cite this Work
@dataset{Mobiusi2026,
title={Chronic Liver Disease Evidence Applicability Failure Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/f3f81a4a5c09634dcab43f690d92c90c?dataset_task_cate_id=1},
urldate={2026-10-27},
keywords={chronic liver disease dataset,chronic hepatitis evidence verification,steatotic liver disease papers,medical fact-checking,evidence sufficiency,claim-evidence matching,clinical study assessment,healthcare AI training},
version={1.0}
}Using this in research? Please cite us.