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---
license: other
license_name: cc-by-nc-4.0
license_link: LICENSE
pretty_name: SpatialAct-Bench-Assets
tags:
- robotics
- 3d
- manipulation
- benchmark
configs:
- config_name: default
data_files:
- split: train
path: data/*.parquet
extra_gated_heading: "Request access to SpatialAct-Bench-Assets"
extra_gated_description: >-
This is an early research release. Access requests are reviewed
manually by the authors.
extra_gated_prompt: >-
This dataset is licensed under CC BY-NC 4.0 for non-commercial
research use only. It is a derivative work built from RoboCasa,
OmniObject3D, Google Scanned Objects, GraspXL, Objaverse, and the
YCB Object and Model Set — see provenance/third_party_notices.md
for the complete per-source attribution required by each original
license. By requesting access you agree to use this dataset for
non-commercial research purposes only and to comply with all
license terms referenced above.
extra_gated_button_content: "Agree and request access"
---
# SpatialAct-Bench-Assets (SPAB)
A curated, de-identified 3D object asset library for the SpatialAct-Bench
target-centric "acknowledge" benchmark (built for pi0.5 / DROID-style
manipulation policies: grasp a target object, then answer questions
about its category, subtype, or color).
## At a glance
- **701** assets, **66** basic categories, **80** canonical (detailed)
classes.
- Every asset ships as one self-contained USD entry point
(`assets/SPAB-OBJ-xxxxxx/asset.usdc` + `textures/`) with no external
dependencies.
- One representative preview image per asset (`previews/`).
- Every asset has a physical graspability tier (`low` / `mid` / `high`,
see below) from a unified evaluation.
- Single license for the whole package: **CC BY-NC 4.0**.
## Access status
This repository is currently **private**, shared with a small set of
collaborating labs for internal use and feedback. It is planned to
later switch to **gated public** access (same repository, same content
— no rebuild) once the accompanying paper is ready. Feedback and bug
reports from this private phase will be folded in before that switch.
## License
The whole package (asset selection, deduplication, rescaling, USD
conversion, and all authored metadata) is licensed under
**CC BY-NC 4.0** — see [`LICENSE`](./LICENSE).
The underlying geometry and textures of individual assets originate
from third-party open datasets (RoboCasa, OmniObject3D, Google Scanned
Objects, GraspXL, Objaverse, and the YCB Object and Model Set) and
remain attributed to their original creators under their own licenses.
See [`provenance/third_party_notices.md`](./provenance/third_party_notices.md)
for the complete, per-source breakdown and required attribution
statements. In short: 651 of 701 assets trace to CC BY 4.0 sources, 20
trace to CC BY-NC 4.0 (GraspXL), and 30 trace to an Objaverse-linked
legacy pool whose per-object upstream terms are documented but not all
independently re-verified — see the notices file for exact per-source
figures and caveats.
## Grasp quality tiers
Each asset was evaluated with a fixed manipulation policy across **5**
independent tabletop layout scenes (one trial per scene, 5 trials per
asset, 3,505 trials total over all 701 assets), and camera-validated
after the run. The `grasp` field in `spab_objects_v1.json` is a tier
derived from the count of successful trials out of 5, **not** a raw
success percentage:
| Successes / 5 | Tier | Assets | Share |
|---|---|---:|---:|
| 0 | `low` | 182 | 26.0% |
| 1–2 | `mid` | 440 | 62.8% |
| 3–4 | `high` | 79 | 11.3% |
This is a measurement from one evaluation round with one checkpoint and
one fixed scene protocol — it reflects physical graspability under that
setup, not an immutable property of the object, and should be treated
as a difficulty signal rather than a benchmark ground truth.
## Dependency scope: what's self-contained and what isn't
Every asset ships as exactly two things: `asset.usdc` (one USD crate
file holding mesh, UVs, material bindings, and physics API schemas —
rigid body, mass, collision — all in one layer) and its `textures/`
folder. This is a deliberate, verified-complete package, not a partial
one: across all 701 assets there are zero external-layer references and
zero absolute paths pointing outside each asset's own directory (every
reference is relative and resolves correctly after moving or
re-downloading the package anywhere).
The one intentional exception: material shaders reference
`OmniPBR.mdl` (or `gltf/pbr.mdl` for some sources) by bare name, which
Isaac Sim / NVIDIA Omniverse resolve from their own built-in shader
library at runtime — the same way a PDF viewer supplies a font it
wasn't shipped with. These are **not** packaged with this dataset. In
Isaac Sim, materials render correctly. In a generic USD viewer without
that shader library, geometry, UVs, and physics schemas will still load
correctly, but the material may fall back to a default/untextured
look.
## Layout
```text
spab_objects_v1.json canonical per-asset metadata (see SCHEMA.md)
assets/SPAB-OBJ-xxxxxx/ one self-contained USD asset per directory
asset.usdc entry point (crate binary), no external refs
textures/ local textures referenced by asset.usdc
previews/SPAB-OBJ-xxxxxx.jpg one representative image per asset
previews/metadata.jsonl per-image metadata for automatic dataset preview
provenance/third_party_notices.md required third-party attribution
LICENSE CC BY-NC 4.0 notice for this package
SCHEMA.md full field-by-field schema reference
files.sha256 checksum manifest for every packaged file
tools/verify_release.py standard-library integrity verifier
```
## Download and verify
```bash
# download (private repo — requires an invited HF account + token)
huggingface-cli download <org>/SpatialAct-Bench-Assets \
--repo-type dataset --local-dir spab_release_v1
# verify checksums and structural integrity
cd spab_release_v1
python3 tools/verify_release.py
```
## Isaac Sim smoke test
```python
from pxr import Usd, UsdGeom
stage = Usd.Stage.Open("assets/SPAB-OBJ-000001/asset.usdc")
assert stage.GetDefaultPrim().IsValid()
bbox_cache = UsdGeom.BBoxCache(Usd.TimeCode.Default(), [UsdGeom.Tokens.default_])
print(bbox_cache.ComputeWorldBound(stage.GetPseudoRoot()).ComputeAlignedRange())
```
Remember to apply `geometry.scale` from `spab_objects_v1.json` via an
`xformOp:scale` at spawn time, before physics initialization — it is
not baked into the USD file (see `SCHEMA.md`).
## Schema
See [`SCHEMA.md`](./SCHEMA.md) for the complete field reference and an
example record. Two scoring/vocabulary rules apply dataset-wide (see
`taxonomy_policy` in `spab_objects_v1.json`): category QA accepts
either the basic `category` or the detailed `canonical_class` as
correct, while subtype QA requires an exact subtype match; all color
labels are drawn from a fixed 8-word palette plus `multicolor`.
## Citation
TBD — will be added once the accompanying paper has a citable
reference.
## Changelog
- **v1.0** (2026-07-21): Initial private release. 701 assets, unified
5-scene grasp-tier evaluation, de-identified schema, single CC BY-NC
4.0 license.