displayName
TruthfulQA
homepageUrl
https://github.com/sylinrl/TruthfulQA
kind
model-only
targetsKind
ModelVersion
description
TruthfulQA (Lin et al., 2021) is an 817-question benchmark
measuring whether a language model produces truthful answers
when humans tend to hold false beliefs (misconceptions, urban
legends). Reports both truthfulness and informativeness scores.