MultiBBQ perturbations

MultiBBQ: image perturbations Image-level perturbation sets used for the robustness experiments in Fairness Failure Modes of Multimodal LLMs. Each set is the GPT-Image-1 image collection from MLL-Lab/MultiBBQ with a single, controlled transform applied. Evaluating on a perturbed set measures how stable a model’s fairness behavior is under everyday image degradations. Paper: Fairness Failure Modes of Multimodal LLMs Code:… See the full description on the dataset page:

Source: Hugging Face Hub (MLL-Lab/MultiBBQ-perturbations). Metadata imported from the dataset’s Hub tags.