Dataset Card for ObjectRemovalAlpha

Dataset Summary

ObjectRemovalAlpha is a small object-removal training dataset reformatted from lrzjason/ObjectRemovalAlpha. Each example contains a shared text prompt, a ground-truth image, a factual/source image, and a mask image.

The loader groups the original _G, _F, and _M files by numeric ID and exposes them as one row per object-removal example.

Supported Tasks and Leaderboards

This dataset can be used for image editing, object removal, image inpainting, and mask-conditioned image generation experiments. No public leaderboard is bundled with the source dataset.

Languages

The text prompts are in English.

Dataset Structure

Data Instances

{
  "text": "object-removal prompt",
  "ground_truth_image": "<image>",
  "factual_image": "<image>",
  "mask_image": "<image>"
}

Data Fields

• text: Prompt text shared by the original _G, _F, and _M files.
• ground_truth_image: Target image after removal.
• factual_image: Source image before removal.
• mask_image: Mask image indicating the removal region.

Data Splits

Split	Examples
train	20

Dataset Creation

Source Data

The data is loaded from the upstream Hugging Face dataset lrzjason/ObjectRemovalAlpha using snapshot_download.

Licensing Information

The upstream dataset is marked Apache-2.0 on Hugging Face Hub.

Citation Information

No dataset-specific paper or BibTeX citation was found in the upstream dataset release.

Contributions

This Hugging Face dataset implementation was created by the creative-graphic-design organization to expose lrzjason/ObjectRemovalAlpha through a typed dataset loader.