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KMasaki/
cc12m-sam-parse-tree

zero-shot-image-classification

region-phrase-alignment

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CC12M with SAM Regions and Parse-Tree Phrases

Pre-processed CC12M dataset for training PowerCLIP. Each sample contains the original image and caption plus two precomputed annotations:

Parse-tree phrases (.njson) — NP/PP/VP/S constituent phrases extracted via spaCy, with token indices aligned to OpenCLIP's SimpleTokenizer (CSR format). SAM regions (.samlens.npy + .samcat.npy) — Segment Anything Model (SAM ViT-H) region bounding boxes converted to ViT patch-grid token indices (CSR… See the full description on the dataset page: https://huggingface.co/datasets/KMasaki/cc12m-sam-parse-tree.