PumeTu/mieb-train-wds

mieb-train-wds WebDataset build of the MIEB zero-shot image-classification datasets, re-captioned so the class labels work as CLIP training text. Parquet twin: PumeTu/mieb-train. 4,434,196 samples · 493 shards · 23 datasets Each shard member set is <key>.jpg|png|webp + <key>.txt (the caption) + <key>.cls (source class id). All image extensions fall inside OpenCLIP's default image key jpg;png;jpeg;webp, so no --image-key override is needed. Source bytes are passed through… See the full description on the dataset page: https://huggingface.co/datasets/PumeTu/mieb-train-wds.

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