shaghayegh/ContextBias

ContextBench The image benchmark for ContextBias: Controlled Evaluation of Bias Persistence Under Context Shift in Text-to-Image Models (EMNLP 2026). Text-to-image models learn associations between concepts and visual attributes that underpin many observed forms of stereotypical bias. ContextBias is a controlled evaluation framework that asks whether those associations are stable or adapt when a role is placed in a different context. It varies location and activity context… See the full description on the dataset page: https://huggingface.co/datasets/shaghayegh/ContextBias.