UTSCybeR/kbench-assets

K-Bench reference assets Paper · Leaderboard · Project site · Code Reference assets for K-Bench, a multi-channel, substrate-aware, adaptive-attacker benchmark for LLM unlearning in agentic deployments. The dataset holds the untreated baseline cells, the substrate-P target adapter and the two retrieval indexes. The baseline cells are the fixed none (no-intervention) baseline transcripts that a candidate unlearning method is scored against. Each cell runs n=200 queries per seed… See the full description on the dataset page: https://huggingface.co/datasets/UTSCybeR/kbench-assets.

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