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@@ -6,6 +6,10 @@ configs:
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  path: data/scene1-*
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  - split: scene2
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  path: data/scene2-*
 
 
 
 
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  - split: fall
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  path: data/fall-*
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  - split: refraction
@@ -14,10 +18,6 @@ configs:
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  path: data/slope-*
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  - split: spring
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  path: data/spring-*
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- - split: scene4
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- path: data/scene4-*
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- - split: scene3
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- path: data/scene3-*
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  dataset_info:
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  features:
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  - name: image
@@ -27,41 +27,68 @@ dataset_info:
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  - name: metavalue
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  dtype: string
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  splits:
 
 
 
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  - name: scene2
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- num_bytes: 17012072040.0
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  num_examples: 11736
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- - name: scene1
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- num_bytes: 19944359416.0
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  num_examples: 11736
 
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  - name: scene4
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- num_bytes: 22975825871.388
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  num_examples: 3556
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- - name: scene3
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- num_bytes: 22458643006.0
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- num_examples: 11736
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- download_size: 102327297555
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- dataset_size: 82390900333.388
 
 
 
 
 
 
 
 
 
 
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  ---
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- # Physics Pictures Dataset
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- Contains splits: Fall, Refraction, Slope, Spring
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- Columns for each split:
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- ```
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- image, render_path, metavalue
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- ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- ## Fall
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- - **Examples**: 40000
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- - **Columns**: image, render_path, metavalue
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- ## Refraction
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- - **Examples**: 40000
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- - **Columns**: image, render_path, metavalue
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- ## Slope
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- - **Examples**: 40000
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- - **Columns**: image, render_path, metavalue
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- ## Spring
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- - **Examples**: 40000
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- - **Columns**: image, render_path, metavalue
 
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  path: data/scene1-*
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  - split: scene2
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  path: data/scene2-*
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+ - split: scene3
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+ path: data/scene3-*
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+ - split: scene4
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+ path: data/scene4-*
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  - split: fall
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  path: data/fall-*
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  - split: refraction
 
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  path: data/slope-*
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  - split: spring
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  path: data/spring-*
 
 
 
 
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  dataset_info:
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  features:
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  - name: image
 
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  - name: metavalue
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  dtype: string
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  splits:
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+ - name: scene1
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+ num_examples: 11736
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+ num_bytes: 19942310778.0
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  - name: scene2
 
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  num_examples: 11736
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+ num_bytes: 17009899490.0
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+ - name: scene3
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  num_examples: 11736
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+ num_bytes: 22456754445.0
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  - name: scene4
 
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  num_examples: 3556
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+ num_bytes: 22976022064.0
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+ - name: fall
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+ num_examples: 40000
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+ num_bytes: 10915924301.0
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+ - name: refraction
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+ num_examples: 40000
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+ num_bytes: 10709791288.0
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+ - name: slope
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+ num_examples: 40000
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+ num_bytes: 16693093236.0
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+ - name: spring
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+ num_examples: 40000
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+ num_bytes: 15431950241.0
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+ download_size: 136135745843.0
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+ dataset_size: 136135745843.0
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  ---
 
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+ # CausalVerse Image Dataset
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+
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+ This dataset contains **two families of splits**:
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+
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+ - **Physics splits**: `Fall`, `Refraction`, `Slope`, `Spring`
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+ - **Static image generation**: `scene1`, `scene2`, `scene3`, `scene4`
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+
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+ All splits share the same columns:
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+ - `image` (binary image; `datasets.Image`)
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+ - `render_path` (string; original image filename/path)
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+ - `metavalue` (string; per-sample metadata; schema varies by split)
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+
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+ ## Sizes (from repository files)
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+ - `scene1`: 11,736 examples — ~19.94 GB
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+ - `scene2`: 11,736 examples — ~17.01 GB
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+ - `scene3`: 11,736 examples — ~22.46 GB
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+ - `scene4`: 3,556 examples — ~22.98 GB
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+ - `fall`: 40,000 examples — ~10.92 GB
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+ - `refraction`: 40,000 examples — ~10.71 GB
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+ - `slope`: 40,000 examples — ~16.69 GB
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+ - `spring`: 40,000 examples — ~15.43 GB
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+
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+ > Notes:
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+ > - `metavalue` is **split-specific** (e.g., `fall` uses keys like `id,h1,r,u,h2,view`, while `scene*` have attributes like `domain,age,gender,...`).
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+ > - If you only need a portion, consider slicing (e.g., `split="fall[:1000]"`) or streaming to reduce local footprint.
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+
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+ ## Loading examples
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+ ```python
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+ from datasets import load_dataset
 
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+ # Physics split
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+ ds_fall = load_dataset("CausalVerse/CausalVerse_Image", split="fall")
 
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+ # Scene split
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+ ds_s1 = load_dataset("CausalVerse/CausalVerse_Image", split="scene1")
 
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