Datasets › SUDO Dataset

SUDO Dataset

Introduced by Sejin Lee et al. in sudo rm -rf agentic_security26 Mar 2025 archive 2025-07-28

SUDO is a benchmark of 50 real-world malicious tasks designed to evaluate LLM-based computer agents in live desktop and web environments. It covers critical risk domains—including system security, content safety, societal harms, and privacy violations—based on the AirBench taxonomy. The dataset supports fine-grained evaluation using task-specific checklists and can be used to assess model misuse potential, build safer agents, or guide alignment research.

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Red Teaming SUDO Dataset SUDO Attack Success Rate 41% sudo rm -rf agentic_security AIM-Intelligence/SUDO 1 Compare

Papers archive 2025-07-28

1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 1. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
sudo rm -rf agentic_security 1 1 26 Mar 2025 ran 2 of 2 samples (0 unverified; 2 pointer-only for licence)

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • SUDO Dataset

1 variant name, as the archive lists them.

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