---
language:
  - en
license: mit
pretty_name: Clinical Counterfactual Systemic Cascade Simulation v0.1
dataset_name: clinical-counterfactual-systemic-cascade-simulation-v0.1
tags:
  - clarusc64
  - clinical
  - counterfactual
  - causality
  - cascade
  - systemic-coherence
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  

Whether a model can simulate a plausible downstream cascade  
from a counterfactual clinical decision.

Required outputs  

- cascade_sequence  
- cross_system_effects  
- time_to_divergence  
- new_basin_entered  

Basin labels  

- improved_stable_recovery  
- delayed_recovery  
- complication_basin  
- iatrogenic_worsening  
- unstable_oscillation  
- no_material_change  

Typical failures  

- predicting a single metric only  
- skipping time-to-divergence  
- inventing outcomes with no causal chain  

Suggested prompt wrapper  

System  

You simulate systemic cascades from counterfactual decisions.

User  

Real case  
{real_case_summary}

Counterfactual action  
{counterfactual_action}

Baseline state  
{baseline_state_vector}

Return  

- cascade sequence with time steps  
- cross-system effects  
- time to divergence  
- new basin entered  

Citation  

ClarusC64 dataset family