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AnonymousECCV15285/MMIB_Counterfactual_image_Dataset

Multimodal Mechanistic Interpretability Benchmark (MMIB) Dataset The MMIB Dataset is a highly controlled, synthetic vision-language dataset designed to rigorously evaluate mechanistic interpretability (MI) methods in Large Multimodal Models (VLMs). Built upon procedurally generated CLEVR-style assets, this dataset provides exact ground-truth causal pathways to test whether MI techniques (like causal tracing or interchange interventions) localize genuine cognitive circuits or… See the full description on the dataset page: https://huggingface.co/datasets/AnonymousECCV15285/MMIB_Counterfactual_im

Author / organizationAnonymousECCV15285
License (as declared)mit
Downloads169 (as reported by Hugging Face)
Likes0
Created4 March 2026
Last updated at source4 March 2026
visionlanguagemultimodalcounterfactualmechanistic-interpretabilitysynthetic
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