shirve13/Demo

VisionReasoner UI Dataset

This dataset contains user interface (UI) images along with associated annotation prompts and solutions for fine-tuning the VisionReasoner model.

Structure

• images/: Folder containing UI images (.webp format)
• visionreasoner_dataset.parquet: Metadata file containing:
  • id: Unique identifier for each sample
  • problem: Annotation prompt describing the UI element to segment
  • solution: JSON-formatted segmentation solution with bounding boxes and points
  • image: Reference to the image file
  • img_height: Image height in pixels
  • img_width: Image width in pixels

Usage

To load and preview the dataset:

from datasets import load_dataset

# Load the dataset with trust_remote_code=True
dataset = load_dataset("shirve13/Demo", trust_remote_code=True)
print(dataset["train"][0])

Note: Make sure to use trust_remote_code=True as this dataset uses a custom loading script.

Dataset Loading Script

The dataset uses a custom loading script (demo.py) that:

• Loads metadata from the parquet file
• Handles image paths correctly
• Provides proper dataset features for Hugging Face compatibility

Citation

If you use this dataset in your research, please cite:

@dataset{visionreasoner_ui_dataset,
  title={VisionReasoner UI Dataset},
  author={shirve13},
  year={2024},
  url={https://huggingface.co/datasets/shirve13/Demo}
}