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Dataset Β· Hugging Face

jhu-clsp/ManyIH-Bench

ManyIH-Bench πŸ“„ Paper | 🏠 Homepage | πŸ’» Source Code ManyIH-Bench is a benchmark for evaluating how well language models resolve instruction conflicts among instructions with arbitrarily many privilege levels. Each sample contains multiple instructions annotated with privilege markers; when instructions conflict, the model should follow the highest-privilege one. The dataset has two subsets: coding (427 samples): Code generation tasks (based on MBPP) with conflicting style… See the full description on the dataset page: https://huggingface.co/datasets/jhu-clsp/ManyIH-Bench.

Author / organizationjhu-clsp
License (as declared)mit
Downloads303 (as reported by Hugging Face)
Likes3
Created8 April 2026
Last updated at source13 April 2026
instruction-followinginstruction-hierarchybenchmark
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