osunlp/AutoElicit-Exec

AutoElicit-Exec Dataset Project Page | Paper | GitHub AutoElicit-Exec is a human-verified dataset of 132 execution trajectories exhibiting unintended behaviors from typical benign execution. All trajectories are elicited from frontier CUAs (i.e., Claude 4.5 Haiku and Claude 4.5 Opus) using AutoElicit, which perturbs benign instructions from OSWorld to increase the likelihood of unintended harm while keeping instructions realistic and benign. This dataset is designed to provide… See the full description on the dataset page: https://huggingface.co/datasets/osunlp/AutoElicit-Exec.

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