Add English dataset card

README.md

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+---
+license: cc-by-4.0
+task_categories:
+- visual-question-answering
+- image-classification
+tags:
+- 3d
+- spatial-reasoning
+- object-properties
+- taxonomy
+- simulation
+pretty_name: PercepTax Simulation Metadata
+---
+
+# PercepTax — Simulation Metadata
+
+Supporting metadata for the **PercepTax** benchmark
+([code](https://github.com/XingruiWang/PercepTaxBench) ·
+[VQA dataset](https://huggingface.co/datasets/RyanWW/PercepTaxBench)).
+
+This repository holds the **object taxonomy**, **object lists / placement rules**, and
+**per-scene 3D annotations** used to render and annotate the simulated split of PercepTax.
+It is a collection of JSON/CSV/PNG files (not a `load_dataset`-style tabular dataset).
+
+## Contents
+
+```
+taxonomy/                     # the physical-property taxonomy
+├── taxonomy.json             # full taxonomy tree
+├── all_objects.json          # object → property assignments
+├── material.csv  shape.csv  color.csv  texture.csv
+├── affordance.csv  function.csv  environment.csv  physical_properties.csv
+
+objects/                      # object catalog & placement rules
+├── background_objects.json
+├── objects_list/             # object lists & class↔instance mappings
+└── object_placement/         # placable-on-table / -chair / -floor lists
+
+scenes/                       # per-scene 3D annotations
+├── annotations/<SceneName>/<view_id>/
+│   ├── scene_annotations_split.json   # camera, background, foreground objects,
+│   │                                  #   3D boxes, image_path
+│   ├── bbox_visualization_all.png     # 2D box overlay
+│   └── bbox_3d_visualization.png      # 3D box overlay
+├── filter/                            # filtered scene subsets
+└── image_quality_ratings*.json        # automated scene quality scores
+```
+
+### `scene_annotations_split.json` fields
+`scene_name`, `view_id`, `image_path`, `camera` (intrinsics/extrinsics),
+`background`, `foreground` (objects with labels and 3D bounding boxes).
+
+## Usage
+
+Browse or download with the Hub API:
+
+```python
+from huggingface_hub import snapshot_download
+path = snapshot_download("TaxonomyProject/SimulationMetadata", repo_type="dataset")
+```
+
+The rendered scene **images** for the simulated VQA split are bundled in
+[`RyanWW/PercepTaxBench`](https://huggingface.co/datasets/RyanWW/PercepTaxBench) (config `sim`).
+
+## License
+
+[CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/).