MOBIUSI INCThis dataset focuses on inclusion criteria, exclusion criteria, and applicable exceptions in vaccine clinical trial protocols. Each example pairs a protocol excerpt with relevant candidate facts and an eligibility question, then provides a criterion-by-criterion analysis, a decision, and its rationale. It is designed to train and evaluate rule-based reasoning about trial eligibility rather than simple recall of medical knowledge.
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| protocol_excerpt | string | Source text containing the trial's inclusion criteria, exclusion criteria, and applicable exceptions. |
| candidate_profile | string | Facts about the candidate that are relevant to trial eligibility. |
| criterion_analysis | array | Ordered assessment of each applicable inclusion criterion, exclusion criterion, and exception, based only on the supplied protocol and candidate facts. |
| decision_rationale | string | Concise explanation of how the criterion assessments support the overall eligibility decision. |
| eligibility_decision | string | Overall eligibility conclusion derived from all applicable criteria and exceptions. |
| eligibility_question | string | Question asking whether the candidate meets the trial's eligibility requirements. |
| 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={Vaccine Clinical Trial Eligibility Criteria Logic Reasoning QA Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/96ce82d7396fbc77c13269638c1e2bd7},
urldate={2026-10-21},
keywords={vaccine clinical trial dataset,trial eligibility criteria,participant eligibility assessment,clinical protocol reasoning,vaccine trial QA,reasoning SFT data,medical QA training,clinical research dataset},
version={1.0}
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