---
language:
  - en
license: mit
pretty_name: Clinical–Regulatory Evidence Correspondence v0.1
dataset_name: clinical-regulatory-evidence-correspondence-v0.1
tags:
  - clarusc64
  - clinical
  - regulatory
  - evidence-mapping
  - indication-scope
task_categories:
  - text-classification
  - text-generation
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

Regulatory claims must map to evidence scope.

Population boundaries matter.

## Why it exists

Regulatory language can drift.

Indications expand.

Subgroups disappear.

This set detects when claims exceed the evidence base.

## Data format

Each row contains

- evidence_base  
- regulatory_claim  
- correspondence_pressure  
- constraints  
- failure_modes_to_avoid  
- target_behaviors  
- gold_checklist  

Feed the model

- evidence_base  
- regulatory_claim  

Score for

- explicit correspondence classification  
- mapping to inclusion and exclusion criteria  
- preservation of subgroup gates  
- correction guidance  

## Correspondence pressures

- label_expansion  
- age_scope_creep  
- stage_shift  
- setting_expansion  
- subtype_drift  
- severity_creep  
- renal_stage_expansion  
- pediatric_gap  
- indication_bundling  
- biomarker_scope_loss  
- endpoint_upgrade  
- superiority_overreach  
- line_of_therapy_shift  

Questions you must answer

- Who was studied  
- Who was excluded  
- What endpoint was proven  
- Does the claim exceed scope  
- What wording would be correct  

## Suggested prompt wrapper

System

You evaluate whether a regulatory claim corresponds to the clinical evidence base.

You must classify the claim as supported, partial, or unsupported.

User

Evidence Base  
{evidence_base}

Regulatory Claim  
{regulatory_claim}

## Scoring

Use scorer.py.

It returns

- score from 0 to 1  
- mapping signals  

## Known failure signatures

- HF subtype expansion  
- Line-of-therapy drift  
- Biomarker gating removed  
- Surrogate upgraded to clinical endpoint  

## Citation

ClarusC64 dataset family.