MOBIUSI INCThis dataset organizes community medicine screening program rules, recipient information, and post-screening disposition records in JSON, alongside derived validation results for eligibility, screening pathways, and follow-up or referral deadlines. Its examples cover key checks from inclusion criteria through overall constraint assessment, supporting evaluation of a model's ability to reason across multiple rules and detect inconsistencies. It is suitable for community screening quality control, medical rule validation, and domain-specific model evaluation.
Overview
Preview
Schema
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| follow_up_record | object | Source record of screening completion, results, disposition, and follow-up or referral dates. |
| service_recipient | object | Source information about the person receiving community screening services. |
| pathway_validation | object | Derived comparison of the recorded disposition with the screening pathway specified by the program. |
| deadline_validation | object | Derived checks of follow-up or referral timing against the applicable program constraints. |
| eligibility_assessment | object | Derived assessment of whether the recipient meets the program's inclusion and exclusion criteria. |
| screening_program_rules | object | Source rules for the screening program, including eligibility criteria, pathway steps, and follow-up deadlines. |
| overall_constraint_result | object | Derived overall result combining eligibility, pathway, and timing validations. |
Trust
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={Community Screening Eligibility and Follow-Up Constraint Verification Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/5132226c92897825c56270e2b563d871?dataset_scene_cate_type=3},
urldate={2026-10-13},
keywords={community screening dataset,screening eligibility validation,follow-up deadline checks,medical constraint reasoning,screening pathway validation,community medicine evaluation,medical JSON data,healthcare workflow validation},
version={1.0}
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