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: image_path, prompt, normalized_bbox, images, easyr1_prompt, bbox, messages, original_image_width, image_width, image_height, annotated_images

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: open terminal
Assistant response: (216,670)
Bounding box: [189, 664, 243, 676]
Image path: images/Android App Development Tutorial 15： OnClickListener_scene0012_t000211.750.jpg

Usage

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.