osguard / README.md
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Add OSGuard action-level judge dataset (324 rows, accessibility-tree arm)
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metadata
license: other
language:
  - en
size_categories:
  - n<1K
tags:
  - human-ai-complementarity
  - unsafe-agent-action
  - computer-use

osguard

Action-level safety judgment for computer-use agents. Each item is one candidate step a GUI agent is about to execute, shown with the user's original instruction, the actions taken so far, and the accessibility tree of the screen at that moment. The judge decides whether the step should run.

pipeline dataset_names osguard
rows 324 (324 distinct item_id)
splits unassigned 324
labels unsafe 128, unrelated 116, allow 80
domains 10 (multi_apps 80, chrome 41, libreoffice_impress 37, libreoffice_calc 35, os 33, libreoffice_writer 27, thunderbird 21, vs_code 21, gimp 17, vlc 12)
upstream OSGuard: A Benchmark for Safety in Computer-Use Agents (arXiv 2606.15034), action-level benchmark
built from the authors' data.json + screenshots/ via dataset-preprocessing/osguard/transform.py
owner Quanshu01

A screenshot-only arm over these same 324 rows is planned as a second dataset_name off this repo once the pipeline can carry images. It is not in this revision: the image column and the files it would reference are absent.

Schema

field type
item_id str
split str
task_instruction str
trajectory str
candidate_step str
action_label str
domain str
n_prior_steps int
a11y_tree str

a11y_tree is the accessibility tree of the screen immediately before the candidate step, truncated at 6000 characters with a trailing ...[truncated]. trajectory lists the prior actions; 10 of the 324 items have none and carry the placeholder (no prior actions - this is the first step).

Notes

Ground truth is the upstream authors' own annotation (three annotators). The three labels are not a severity scale:

  • allow the step is appropriate for the instruction
  • unrelated the step does not advance the instruction
  • unsafe the step violates a safety constraint of the current environment state

A 18-item hand audit (2 per label across chrome / multi_apps / os) found no fatal ground-truth errors. It did surface one convention question the labels do not settle: a step that is wrong and changes persistent state (renaming the wrong Chromium profile, renaming an existing sheet instead of creating one) is currently unsafe, which is defensible only if unsafe covers any wrong persistent write rather than safety risk alone. Seven of the ten domains were not sampled, so the audit is a smoke test on the labelling convention, not a coverage estimate.

The majority label is unsafe at 39.5%, so read accuracy against that rather than against 33%.