WildGuardTest
Benchmark metadata from benchwiki — this page mirrors their record so scores can be joined to it. The original is canonical.
What it measures
A human-annotated test set for prompt harmfulness, response harmfulness, and refusal classification.
- Primary metric
- prompt-harmfulness total F1 (%)
- Judge model
- not judged by a model
- Human baseline
- not reportedThe labels come from three independent annotators per prompt-response pair, but no single human model-style F1 baseline is reported.
- Languages
- English
Health
The released test split has 1,725 prompt-response items. Counting three label tasks yields roughly 5K labeled decisions, which should not be reported as 5,000 independent conversations. The timeline plots prompt-harmfulness total F1 only. Timeline dates are moderator-model public-launch dates, not evaluation dates.
- Status evidence
- WildGuardTest remains a widely used open moderation test with adversarial and in-the-wild examples across three safety-classification tasks, though its public English-only set is not a deployment policy.
- Saturated since
- not saturated
- Refresh cycle
- static
- Test set public
- yes
Access is gated by Ai2 responsible-use terms. Keep the official split untouched, report task and adversarial subset, and evaluate on private policy-specific traffic before deployment.
Models scored on this benchmark
The reverse lookup, which is this site’s addition: every model here with a score on this benchmark. Independent measurements and vendor-reported numbers are kept apart rather than interleaved, because they are different claims.
No model on this site has a score on this benchmark yet. That usually means the models that were measured on it are not in the registry, rather than that nobody has run it.
Trajectory
Source
This record is maintained by benchwiki and mirrored here. Read the original. Upstream last updated 2026-09-14; fetched 2026-10-19 by this site.