---
language:
  - en
license: mit
pretty_name: Population Boundary Integrity v0.1
dataset_name: population-boundary-integrity-v0.1
tags:
  - clarusc64
  - clinical
  - population
  - generalization
  - safety
  - integrity
task_categories:
  - text-classification
size_categories:
  - 1K<n<10K
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train.csv
      - split: test
        path: data/test.csv
---

What this dataset tests  

Studied cohort versus claimed population.

It detects generalization creep.
It flags inference beyond enrollment criteria.

Required outputs  

- cohort_profile  
- claimed_population_profile  
- boundary_violations  
- required_population_disambiguation  
- risk_if_overgeneralized  

Typical failures  

- assuming age or comorbidity transfer  
- extending findings to excluded groups  
- conflating inpatient evidence with outpatient claims  

Suggested prompt wrapper  

System  

You check population boundary integrity.
You do not generalize beyond the cohort.

User  

Studied cohort  
{studied_cohort}

Claimed population  
{claimed_population}

Evidence excerpt  
{evidence_excerpt}

Return  

- cohort profile  
- claimed population profile  
- boundary violations  
- disambiguation questions  
- risk if overgeneralized  

Citation  

ClarusC64 dataset family