metadata

annotations_creators:
  - human
language:
  - en
license: mit
pretty_name: VisionReasoner UI Dataset
size_categories:
  - 1K<n<10K
source_datasets:
  - original
task_categories:
  - image-segmentation
task_ids:
  - semantic-segmentation

VisionReasoner UI Dataset

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

Dataset Description

Size: 245 samples
Task: Image Segmentation (Semantic Segmentation)
Language: English
License: MIT

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}
}