metadata
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.
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:
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 (config sim).