AbstractPhil/bulk-cc12m-features
bulk-cc12m-features — ten teacher towers over CC12M, plus their consensus Precomputed image-tower features for 10,968,539 CC12M images (all 2,176 shards of pixparse/cc12m-wds) from ten independent teacher extractions — eight CLIP variants across three pretraining corpora and two model scales, SigLIP, and DINOv3 — plus one derived consensus target. About 110 million feature vectors, roughly 130 GPU-hours of extraction, so that a student can be distilled against any of these… See the full description on the dataset page: https://huggingface.co/datasets/AbstractPhil/bulk-cc12m-features.
card: consensus_gpa as an 11th config (derived target, construction recipe, frame caveat); forms table qualified
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card: ten towers documented (dims, spaces, mean norms), per-tower preprocessing table, join-by-key caveat, three forms per tower, dinov3 CLS-readout distinction
clip_b16_laion2b: full concat (closes the last form gap)
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