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README.md
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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. -->
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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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<!-- - `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
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