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license: mit
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---
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license: mit
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---
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# Paired Image Editing Dataset
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This dataset provides paired examples for training image editing models, containing original and modified images alongside text descriptions of the editing steps.
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## Dataset Structure
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dataset_root/
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├── {index}_F.png # Image F (e.g., edited version)
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├── {index}_F.txt # Steps to transform G → F
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├── {index}_G.png # Image G (e.g., original version)
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└── {index}_G.txt # Steps to transform F → G
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**Naming Convention**:
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- Replace `{index}` with a digit identifier (e.g., `1`, `2`).
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## File Descriptions
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- **`{index}_F.png`** & **`{index}_G.png`**: Paired images (e.g., before/after editing).
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- _F/G suffixes denote different states (e.g., `F`=edited, `G`=original).
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- **`{index}_F.txt`**: Textual description of modifications applied to `G.png` to create `F.png`.
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- **`{index}_G.txt`**: Textual description of modifications applied to `F.png` to revert to `G.png`.
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## Purpose
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- Train models to understand/edit images through:
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- Image-to-image translation
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- Inpainting/outpainting
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- Style/attribute transfer
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- Use text descriptions to guide conditional image generation.
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## Source & Editing
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- **Source Images**: Collected from [Unsplash](https://unsplash.com/) (ensure compliance with [Unsplash License](https://unsplash.com/license)).
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- **Edits**: Applied using [Jimeng](https://jimeng.jianying.com/) mask edit techniques.
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## Contact
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For questions or contributions, contact lrzjason at lrzjason@gmail.com
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