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README.md

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-# ui-vision-grounding-4MP
-
-This dataset was generated from UI-Vision annotations using the conversion pipeline.
-
-## Generation Details
-
-- **Generated on**: 2025-09-10 12:58:39 UTC
-- **Script**: `convert_ui_vision_to_hf.py`
-- **Images directory**: `ui-vision/images`
-
-## Parameters Used
-
-- **Maximum samples**: None
-- **Image resize (max megapixels)**: 4.0 MP
-- **Minimum native image resolution**: 0.0 MP
-- **Prompt format**: `gta1`
-- **Output format**: `coordinates`
-- **Random seed**: 42
-- **Debug images enabled**: False
-
-## Annotation Files
-
-The following annotation files were used to create this dataset:
-
-- ui-vision/annotations/layout_grounding/layout_grounding.json
-- ui-vision/annotations/element_grounding/element_grounding_spatial.json
-- ui-vision/annotations/element_grounding/element_grounding_basic.json
-- ui-vision/annotations/element_grounding/element_grounding_functional.json
-
-## Dataset Statistics
-
-- **Total training samples**: 5790
-- **Columns**: image_path, abs_image_path, prompt, normalized_bbox, images, easyr1_prompt, bbox, messages, original_image_width, image_width, image_height
-
-## System Prompt
-
-```
-You are an expert UI element locator. Given a GUI image and a user's element description, provide the coordinates of the specified element as a single (x,y) point. For elements with area, return the center point.
-
-Output the coordinate pair exactly:
-(x,y)
-```
-
-## Sample Entry
-
-
-- **User prompt**: <image>
-Locate the specified region.
-- **Assistant response**: (107,33)
-- **Bounding box**: [80, 6, 134, 60]
-- **Image path**: element_grounding/f8ce11340042f598b0c6f1ae49e75f4a.png
-
-## Usage
-
-```python
-from datasets import load_dataset
-
-dataset = load_dataset("mlfoundations-cua-dev/ui-vision-grounding-4MP")
-
-train = dataset['train']
-sample = train[0]
-images = sample['images']
-messages = sample['messages']
-bbox = sample['bbox']
-
-```
-
-## Prompt Formats
-
-### gta1
-
-Standard GTA1 format without resolution information. Outputs coordinates in (x,y) format.
-
-## License
-
-Please refer to the original dataset licenses for usage restrictions.

dataset_dict.json

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train/dataset_info.json

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+  "license": ""
+}

train/state.json

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