Datasetpublic

keypa/vision-adapter-images

Vision Adapter Image Corpus Processed image corpus used to train the Vision-Adapter: 79,659 agentic UI images ("screenshots" + "multistep" subsets derived from wave-ui-25k, ShowUI-desktop, and aguvis-stage2) plus full embeddable subsets of HuggingFaceM4/the_cauldron used for general/reasoning/conversational fine-tuning. Each image has been resized to ≤300k pixels and padded to 28-pixel multiples to match MoonViT-V2 preprocessing. Fields image: raw PNG bytes… See the full description on the dataset page: https://huggingface.co/datasets/keypa/vision-adapter-images.

sourceHugging Faceapache-2.0updated 1mo agoView on Hugging Face

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Dataset Card

Vision Adapter Image Corpus

Processed image corpus used to train the Vision-Adapter: 79,659 agentic UI images ("screenshots" + "multistep" subsets derived from wave-ui-25k, ShowUI-desktop, and aguvis-stage2) plus full embeddable subsets of HuggingFaceM4/the_cauldron used for general/reasoning/conversational fine-tuning.

Each image has been resized to ≤300k pixels and padded to 28-pixel multiples to match MoonViT-V2 preprocessing.

Fields

—image: raw PNG bytes (bytes column).
—filename: source/basename (e.g. agentic/waveui_000123.png).
—source: agentic or cauldron.
—size: bytes of the raw image.

How to use

python

from datasets import load_dataset

ds = load_dataset("keypa/vision-adapter-images")
print(ds)