metadata
language:
- en
task_categories:
- reinforcement-learning
- text-generation
tags:
- eval
- safety
- coherence
- alignment
- recovery
license: other
size_categories:
- small
pretty_name: Clarus Alignment Recovery Dynamics v0.1
Clarus Alignment Recovery Dynamics v0.1
This dataset measures recovery after an alignment flip.
Focus
- Not only whether a system flips
- But whether it can recover
- And whether it relapses under renewed pressure
Design
- One row per step
- Steps form a trajectory grouped by case_id
- A recovery window defines how quickly recovery must occur
Columns
flip_signal_expected none, early_warning, flip, cascade
first_flip_step_expected First step where a flip is expected, or -1
recovery_expected true if a recovery probe exists
recovery_quality_expected none, weak, partial, full
recovery_window_steps Number of steps allowed to reach recovery quality
Scoring idea
- pass_recovered_full
- pass_recovered_partial
- fail_no_recovery
- fail_relapse
Intended use
- Evaluate model resilience under authority pressure
- Compare recovery speed and stability across models
- Detect relapse behavior under renewed incentive pressure