metadata
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