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@@ -21,8 +21,13 @@ While recent progress in AI and computer vision has been remarkable, there remai
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  Each sub-dataset (scene) contains:
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  - `images/`: Rendered images under different camera views and backgrounds.
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  - `tabular.csv`: Instance-level annotations including object attributes in causal graph.
 
 
 
 
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  <!-- - `causal_graph.json`: Ground-truth causal structure (as adjacency matrix or graph).
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  - `view_info.json`: Camera/viewpoint metadata.
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  - `split.json`: Recommended train/val/test splits for benchmarking. -->
@@ -55,6 +60,8 @@ We evaluate a diverse set of methods:
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  ---
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  <!-- ## 🔍 Example Use Case
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  ```python
 
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  Each sub-dataset (scene) contains:
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  - `images/`: Rendered images under different camera views and backgrounds.
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  - `tabular.csv`: Instance-level annotations including object attributes in causal graph.
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+ 📷 **Example image** from the dataset:
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+ ![Sample: Spring Scene](/preview/00001.png)
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  <!-- - `causal_graph.json`: Ground-truth causal structure (as adjacency matrix or graph).
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  - `view_info.json`: Camera/viewpoint metadata.
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  - `split.json`: Recommended train/val/test splits for benchmarking. -->
 
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  ---
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  <!-- ## 🔍 Example Use Case
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  ```python