---
language:
  - en
license: mit
pretty_name: Clinical Etiological Cross-Basin Transition and Escape Analysis v0.1
dataset_name: clinical-etiological-cross-basin-transition-escape-analysis-v0.1
tags:
  - clarusc64
  - clinical
  - basin-map
  - topology
  - transitions
  - long-covid
  - me-cfs
  - autoimmune
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 track when interventions  
cause stabilization, basin shifts, or true basin escape.

Required outputs  

- transition_attempted  
- success_or_trap  
- basin_escape_barrier  

Transition attempted labels  

- within_basin_stabilization  
- cross_basin_shift  
- basin_escape_attempt  

Success or trap labels  

- escape_success  
- partial_shift  
- basin_trap  
- relapse_to_core  
- ambiguous  

Escape barrier labels  

- persistent_autonomic_lock  
- metabolic_energy_ceiling  
- immune_autoactivation_loop  
- mast_cell_trigger_reactivity  
- neurocognitive_instability_loop  
- psychosocial_load_lock  
- unknown_or_mixed  

Typical failures  

- treating trigger as the barrier  
- naming outcomes without a barrier  
- missing cross-basin shifts when dominance changes  

Suggested prompt wrapper  

System  

You analyze basin transitions and escape.

User  

Basin start  
{basin_start}

Basin end  
{basin_end}

Interventions  
{intervention_sequence}

Response  
{response_timecourse}

State shift evidence  
{state_shift_evidence}

Return  

- transition attempted  
- success or trap  
- escape barrier  
- one sentence evidence  

Citation  

ClarusC64 dataset family