---
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