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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.
<p align="center">
<a href="https://perceptual-taxonomy.github.io"><img alt="Project Page" src="https://img.shields.io/badge/Project_Page-2563EB?style=for-the-badge&logo=googlechrome&logoColor=white"></a>
<a href="https://arxiv.org/abs/2511.19526"><img alt="Paper" src="https://img.shields.io/badge/arXiv-2511.19526-B31B1B?style=for-the-badge&logo=arxiv&logoColor=white"></a>
<a href="https://github.com/XingruiWang/PercepTaxBench"><img alt="Code" src="https://img.shields.io/badge/Code-181717?style=for-the-badge&logo=github&logoColor=white"></a>
<a href="https://huggingface.co/datasets/RyanWW/PercepTaxBench"><img alt="VQA Dataset" src="https://img.shields.io/badge/VQA_Dataset-FFD21E?style=for-the-badge&logo=huggingface&logoColor=black"></a>
</p>
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/).
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