metadata
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