Dataset card for image corpus

README.md

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+---
+license: apache-2.0
+size_categories:
+- 10K<n<100K
+annotations_creators:
+- no-annotation
+language_creators:
+- machine-generated
+language:
+- en
+multilinguality:
+- monolingual
+source_datasets:
+- agentsea/wave-ui-25k
+- showlab/ShowUI-desktop
+- xlangai/aguvis-stage2
+- HuggingFaceM4/the_cauldron
+task_categories:
+- image-to-text
+- visual-question-answering
+pretty_name: Vision Adapter Agentic + Cauldron 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 (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)
+```