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Dataset · Hugging Face

oonat/ezpc-embeddings

EZPC - Pre-computed CLIP / SigLIP Embeddings This dataset hosts the pre-computed image embeddings, cached text (classname / concept) embeddings, and class splits used in Explaining CLIP Zero-shot Predictions Through Concepts (CVPR 2026). Running EZPC from scratch requires extracting CLIP / SigLIP features for every image in five benchmark datasets (CIFAR-100, CUB-200-2011, Places365, ImageNet, ImageNet-100) with multiple backbones. To skip the expensive feature-extraction step… See the full description on the dataset page: https://huggingface.co/datasets/oonat/ezpc-embeddings.

Author / organizationoonat
License (as declared)mit
Downloads272 (as reported by Hugging Face)
Likes0
Created5 April 2026
Last updated at source7 June 2026
clipsiglipembeddingszero-shotinterpretabilityconcept-bottleneckvision-languagecvpr2026
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