---
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/).