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.
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.