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+ # Visual Jenga Datasets
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+
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+ This directory contains the original datasets for [Visual Jenga: Discovering Object Dependencies via Counterfactual Inpainting](https://visualjenga.github.io/). Visual Jenga is a novel scene understanding task that involves progressively removing objects from a single image one at a time while keeping the rest of the scene stable. This process reveals object dependencies and provides a new way to evaluate grounded scene understanding by systematically exploring which objects can be removed while preserving scene coherence in both physical and geometric sense.
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+
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+ ## Datasets Overview
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+
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+ ### 1. ClutteredParse
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+ - **Directory**: `clutteredparse/`
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+ - **Samples**: 40 scenes
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+ - **Structure**: Each subdirectory contains:
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+ - `img.*` - Original scene image (various formats: jpg, jpeg, webp)
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+ - `A.png` - Mask showing objects to remove (before)
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+ - `B.png` - Mask showing objects after removal (after)
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+ - **Visualization**: [dataset_clutteredparse.html](dataset_clutteredparse.html)
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+
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+ ### 2. COCO
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+ - **Directory**: `coco/`
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+ - **Samples**: 200 scenes
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+ - **Structure**: Each subdirectory (numbered 000-199) contains:
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+ - `img.*` - Original scene image (jpeg format)
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+ - `A.png` - Mask showing objects to remove (before)
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+ - `B.png` - Mask showing objects after removal (after)
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+ - **Visualization**: [dataset_coco.html](dataset_coco.html)
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+
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+ ### 3. Full Scene Decom
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+ - **Directory**: `full_scene_decom/`
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+ - **Samples**: 56 images
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+ - **Structure**: Flat directory with sequentially numbered images (00-55) in various formats (jpg, png, jpeg, webp, avif)
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+ - **Purpose**: Scene decomposition visualization showing progressive scene breakdown
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+ - **Visualization**: [dataset_full_scene_decom.html](dataset_full_scene_decom.html)
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+
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+ ### 4. NYU
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+ - **Directory**: `nyu/`
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+ - **Samples**: 668 scenes
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+ - **Structure**: Each subdirectory contains:
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+ - `img.*` - Original scene image (jpg format)
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+ - `A.png` - Mask showing objects to remove (before)
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+ - `B.png` - Mask showing objects after removal (after)
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+ - `scene_graph.jpg` or `scene_graph.png` - Scene graph visualization
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+ - **Visualization**: [dataset_nyu.html](dataset_nyu.html)
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+
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+ ## File Structure
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+
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+ ```
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+ originals/
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+ ├── clutteredparse/ # ClutteredParse dataset
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+ │ ├── 01/
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+ │ │ ├── img.jpg
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+ │ │ ├── A.png
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+ │ │ └── B.png
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+ │ ├── 02/
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+ │ └── ...
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+ ├── coco/ # COCO dataset
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+ │ ├── 000/
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+ │ │ ├── img.jpeg
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+ │ │ ├── A.png
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+ │ │ └── B.png
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+ │ ├── 001/
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+ │ └── ...
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+ ├── full_scene_decom/ # Full Scene Decom dataset
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+ │ ├── 00.jpg
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+ │ ├── 01.png
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+ │ └── ...
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+ ├── nyu/ # NYU dataset
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+ │ ├── 10_0/
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+ │ │ ├── img.jpg
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+ │ │ ├── A.png
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+ │ │ ├── B.png
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+ │ │ └── scene_graph.jpg
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+ │ └── ...
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+ ├── dataset_clutteredparse.html
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+ ├── dataset_coco.html
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+ ├── dataset_full_scene_decom.html
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+ ├── dataset_nyu.html
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+ └── README.md
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+ ```
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+
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+ ## Visualizations
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+
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+ Interactive HTML visualizations are available for each dataset:
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+
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+ - **[ClutteredParse Visualization](dataset_clutteredparse.html)** - Browse all 40 scenes with before/after masks
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+ - **[COCO Visualization](dataset_coco.html)** - Browse all 200 scenes with before/after masks
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+ - **[Full Scene Decom Visualization](dataset_full_scene_decom.html)** - Browse all 56 scene decomposition images
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+ - **[NYU Visualization](dataset_nyu.html)** - Browse all 668 scenes with before/after masks and scene graphs
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+
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+ ## Dataset Statistics
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+
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+ | Dataset | Scenes | Total Files | Image Formats |
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+ |---------|--------|-------------|---------------|
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+ | ClutteredParse | 40 | 120 | jpg, jpeg, webp, png |
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+ | COCO | 200 | 600 | jpeg, png |
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+ | Full Scene Decom | 56 | 56 | jpg, png, jpeg, webp, avif |
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+ | NYU | 668 | 2,672 | jpg, png |
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+
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+ ## Usage
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+
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+ Each dataset can be used independently for:
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+ - Object removal research
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+ - Scene understanding tasks
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+ - Mask generation evaluation
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+ - Scene graph analysis (NYU dataset)
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+
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+ ## Notes
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+
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+ - All images maintain their original formats and quality
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+ - Mask files (A.png, B.png) are provided in PNG format for transparency support
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+ - Scene graphs are available only in the NYU dataset
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+ - The Full Scene Decom dataset uses a flat structure with sequential numbering
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+