--- annotations_creators: - found language: - en language_creators: - found license: apache-2.0 pretty_name: ObjectRemovalAlpha size_categories: - n<1K source_datasets: - lrzjason/ObjectRemovalAlpha tags: - object-removal - image-inpainting - image-editing - text-to-image task_categories: - image-to-image task_ids: [] dataset_info: features: - name: text dtype: string - name: ground_truth_image dtype: image - name: factual_image dtype: image - name: mask_image dtype: image splits: - name: train num_bytes: 57432291.0 num_examples: 20 download_size: 56530697 dataset_size: 57432291.0 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for ObjectRemovalAlpha ## Dataset Description - **Homepage:** https://huggingface.co/datasets/lrzjason/ObjectRemovalAlpha - **Repository:** https://github.com/creative-graphic-design/huggingface-datasets/tree/main/datasets/ObjectRemovalAlpha - **Original Dataset:** https://huggingface.co/datasets/lrzjason/ObjectRemovalAlpha - **Hugging Face Dataset:** https://huggingface.co/datasets/creative-graphic-design/ObjectRemovalAlpha - **Paper:** Not available in the original dataset release. ### 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 ```json { "text": "object-removal prompt", "ground_truth_image": "", "factual_image": "", "mask_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.