evaluation-package · Source-linked discovery

SALAD-Bench

The multiple-choice half of SALAD-Bench, a hierarchical LLM safety benchmark spanning 6 top-level safety domains, 16 task categories and 65 fine-grained categories. Each of the 3,832 scorable questions pairs a potentially harmful query with three candidate answers, and the model must select the safe option(s). One or two of the three may be safe, so the gold label is a set and scoring is an exact set match: selecting only one safe option when two are safe is wrong, as is including an unsafe option. Scoring is deterministic and needs no judge model, using SALAD-Bench's regex MC-Judge over the `<ans>...<eoa>` envelope (as distinct from the model-based MD-Judge used for the free-form QA sets). Reports accuracy and stderr overall, plus accuracy grouped by top-level safety domain.

Open interactive record →
OriginLijun Li, Bowen Dong, Ruohui Wang et al.TopicsSafeguardsStatuscatalogued

Can support

Not independently assessed by FronteraEval yet.

Cannot support by itself

No inference beyond the upstream source should be made until the protocol is reviewed.

Original sources