| --- |
| 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/). |
|
|
