---
language:
  - en
license: mit
pretty_name: Pilot–Vehicle Adaptive Intervention and Recovery Mapping v0.1
dataset_name: aviation-pilot-vehicle-adaptive-intervention-and-recovery-mapping-v0.1
tags:
  - clarusc64
  - aviation
  - flight-safety
  - human-machine
  - adaptive-control
  - crew-alerting
task_categories:
  - tabular-classification
  - tabular-regression
size_categories:
  - n<1K
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train.csv
      - split: test
        path: data/test.csv
---

What this dataset tests

Whether a system can turn loop decoherence  
into stabilizing action under time pressure.

It must estimate:
risk  
recovery window  
best adaptive intervention  
expected post-action stability.

Required outputs

- loss_of_control_risk  
- recovery_window_seconds  
- recommended_adaptive_action  
- intervention_priority  
- recovery_confidence  
- post_action_stability_expectation  

Use case

Layer three of Pilot–Vehicle Loop Coherence Under Stress.

Supports:
- enhanced crew alerting  
- adaptive control law selection  
- graceful stabilization before LOC