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mlfoundations-cua-dev/easyr1-v2-pro-apps-manually-labeled-icon-data-from-yt-4MP

easyr1-v2-pro-apps-manually-labeled-icon-data-from-yt-4MP This dataset was generated using the EasyR1 grounding dataset pipeline. Generation Details Generated on: 2025-09-06 00:30:03 UTC Script: push_easyr1_to_hf.py Data directory: datasets Parameters Used Maximum samples: 2000 Image resize (max megapixels): 4.0 MP Minimum native image resolution: 0.0 MP Prompt format: gta1 Output format: coordinates Random seed: 42 Resampling enabled: False Icon… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-cua-dev/easyr1-v2-pro-apps-manually-labeled-icon-data-from-yt-4MP.

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Dataset Card

easyr1-v2-pro-apps-manually-labeled-icon-data-from-yt-4MP

This dataset was generated using the EasyR1 grounding dataset pipeline.

Generation Details

  • —Generated on: 2025-09-06 00:30:03 UTC
  • —Script: push_easyr1_to_hf.py
  • —Data directory: datasets

Parameters Used

  • —Maximum samples: 2000
  • —Image resize (max megapixels): 4.0 MP
  • —Minimum native image resolution: 0.0 MP
  • —Prompt format: gta1
  • —Output format: coordinates
  • —Random seed: 42
  • —Resampling enabled: False
  • —Icon upsampling ratio: Disabled (random sampling)
  • —pc-agent-e deduplication: False
  • —Debug images enabled: True (annotated images with red bounding boxes included)

Dataset Groups

The following JSON/JSONL files were used to create this dataset:

Dataset Group 1

  • —datasets/grounding_annotations.json

Dataset Statistics

  • —Total training samples: 230
  • —Image dimensions: Variable
  • —Columns: imagepath, prompt, normalizedbbox, images, easyr1prompt, bbox, messages, originalimagewidth, imagewidth, imageheight, annotatedimages

System Prompt

The following system prompt is used for this dataset:

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>open terminal
  • —Assistant response: (216,670)
  • —Bounding box: [189, 664, 243, 676]
  • —Image path: images/Android App Development Tutorial 15： OnClickListenerscene0012t000211.750.jpg

Usage

python
from datasets import load_dataset

dataset = load_dataset("mlfoundations-cua-dev/easyr1-v2-pro-apps-manually-labeled-icon-data-from-yt-4MP")

# Access the training data
train_data = dataset['train']

# Example: Get the first sample
sample = train_data[0]
images = sample['images']
messages = sample['messages']
bbox = sample['bbox']
annotated_images = sample['annotated_images']  # Available when debug images are enabled```

## 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.