RegalFire/Agent-Failure-Recovery-Benchmark

Agent Failure Recovery Benchmark 22,573 synthetic, source-verified failure → recovery trajectories across four domains. Evaluate whether a system can reject a failed plan, choose a recovery, or recognize that no recovery exists. Every row links to a hashed record in a pinned public source and is checked by independent computational oracles and trajectory replay. Tasks: failure diagnosis, recovery-action prediction, planning regression, scoped agent evaluation and imitation… See the full description on the dataset page: https://huggingface.co/datasets/RegalFire/Agent-Failure-Recovery-Benchmark.

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