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AutoElicit-Seed is a dataset of 361 seed perturbations across 66 benign tasks in the OSWorld domain that are used to guide elicitation efforts with AutoElicit. These seeds include perturbations to benign OSWorld instructions that are designed to increase the likelihood of eliciting unsafe unintended behaviors from frontier Computer-Use Agents while remaining realistic and benign, allowing us to scalably surface safety risks from… See the full description on the dataset page:
https://huggingface.co/datasets/osunlp/AutoElicit-Seed.
