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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: >-
The dataset-authored curation, metadata, converted representations,
and packaging are licensed under CC BY-NC 4.0 for non-commercial
research use. Underlying geometry, textures, scene components, and
runtime dependencies retain their applicable upstream terms; see
provenance/third_party_notices.md and
provenance/scene_third_party_notices.md. By requesting access you
agree to non-commercial research use and to comply with all applicable
upstream license and attribution requirements.
extra_gated_button_content: "Agree and request access"
---
# SpatialAct-Bench-Assets (SPAB)
SpatialAct-Bench-Assets is the object-and-scene release for
SpatialAct-Bench, a target-centric benchmark for embodied spatial
reasoning and manipulation. It combines a curated object library,
portable tabletop scene bundles, and machine-readable benchmark
metadata so that environment construction, target selection, and task
evaluation can be reproduced across machines.
## 1. Dataset Overview
### At a glance
- **701** movable 3D object assets spanning **66** basic categories and
**80** canonical classes.
- **32** selected Infinigen-derived tabletop scenes packaged for Franka
manipulation in Isaac Sim.
- One representative preview per object.
- Per-object semantic, geometry, appearance, benchmark-task, provenance,
and graspability metadata.
- Manually gated research access on Hugging Face.
### Repository structure
```text
README.md
benchmark_32_scenes.json scene selection and validation metadata
spab_objects_v1.json canonical metadata for 701 objects
data/
train-00000.parquet tabular object metadata
assets/
SPAB-OBJ-000001/
asset.usdc object USD entry point
textures/ local textures, when required
...
previews/
SPAB-OBJ-000001.jpg one representative preview per object
metadata.jsonl
scene/
seed_45/
scene.usdc portable scene entry point
textures/ scene-local textures
materials/ scene-local custom materials
...
provenance/
third_party_notices.md
scene_third_party_notices.md
LICENSE
SCHEMA.md
files.sha256
tools/
verify_release.py
```
The complete `assets/SPAB-OBJ-xxxxxx/` directory is the relocation unit
for an object. The complete `scene/seed_<seed>/` directory is the
relocation unit for a scene. Do not move an entry-point USDC file without
its accompanying local resource directories.
## 2. 3D Object Asset Library
### Content and taxonomy
The object library contains **701** stable public object IDs of the form
`SPAB-OBJ-xxxxxx`. Its source composition is:
| Source | Assets |
|---|---:|
| RoboCasa | 409 |
| OmniObject3D | 229 |
| Google Scanned Objects | 13 |
| GraspXL | 20 |
| Direct Objaverse selection | 2 |
| Legacy pool | 28 |
| **Total** | **701** |
The legacy pool contains 21 Objaverse-derived objects and 7 YCB objects.
See [`provenance/third_party_notices.md`](./provenance/third_party_notices.md)
for source-level attribution and license details.
Each record in `spab_objects_v1.json` provides:
- a stable object ID and relative USD path;
- basic category, canonical class, subtype, and natural-language caption;
- physical size, plausible mass range, and the spawn-time uniform scale;
- material/color information and a representative preview;
- eligibility and accepted answers for category, subtype, color, and
pointing tasks; and
- an empirically measured graspability tier.
Category QA accepts either the basic category or the canonical class when
the two differ. Subtype QA requires an exact subtype match. Color answers
use a closed eight-color vocabulary plus `multicolor`. See
[`SCHEMA.md`](./SCHEMA.md) for the complete field definitions.
### Portable USD packages
Every object contains a binary `asset.usdc` entry point and all required
local texture files. Of the 701 objects, **677** use packaged texture files
and **24** require no texture files. The packages contain no external USD
layer references or machine-specific absolute paths.
Material shaders may reference Isaac Sim/Omniverse built-in MDL modules,
including `OmniPBR.mdl` and, for some sources, `gltf/pbr.mdl`. These modules
are runtime dependencies supplied by Isaac Sim and are not redistributed
with this dataset. Geometry, UVs, and physics schemas remain readable in a
generic USD viewer, but materials may fall back when its MDL runtime is not
available.
Apply `geometry.scale` from `spab_objects_v1.json` as a uniform
`xformOp:scale` at spawn time, before physics initialization. This value is
not necessarily baked into the object USDC.
### Graspability tiers
Each object was evaluated in five fixed tabletop layouts, one trial per
layout and five trials per object (**3,505** trials total). The `grasp`
field is a difficulty tier derived from the number of successful trials,
not a policy-independent physical property.
| Successful trials | Tier | Assets | Share |
|---:|---|---:|---:|
| 0 / 5 | `low` | 182 | 26.0% |
| 1–2 / 5 | `mid` | 440 | 62.8% |
| 3–5 / 5 | `high` | 79 | 11.3% |
## 3. Scene Library
### Selection
The scene release contains **32** tabletop environments selected from a
40-scene candidate pool. Every retained scene achieved at least **2
successes in 6 trials** during the common screening protocol. Six scenes
also carry the `expanded_eval_validated` status in the manifest.
Included seeds:
```text
45, 86, 152, 182, 196, 794, 813, 7777,
7801, 7812, 7845, 7897, 7909, 7927, 7944, 7983,
7986, 7996, 8001, 8017, 8062, 8064, 8121, 8168,
8178, 8188, 8192, 8383, 8393, 8402, 8415, 8473
```
`benchmark_32_scenes.json` is the authoritative scene index. For each
scene it records the benchmark scene ID, generation seed, portable path,
screening result, and validation status. Screening success rates describe
one fixed evaluation protocol and should be treated as environment
difficulty signals, not model-independent scene scores.
### Packaging and portability
Each `scene/seed_<seed>/` bundle contains:
```text
scene.usdc binary USD scene entry point
textures/ local scene textures
materials/ local custom MDL materials
```
The scene entry point has no machine-specific absolute paths and no active
Replicator or post-processing runtime graph. Scene-local dependencies are
relative to the bundle directory. Isaac Sim's built-in shader library is
still required for standard Omniverse MDL modules.
The release validation covers two complementary layers:
1. **Static package validation:** binary-USDC structure, absence of
symlinks and absolute/remote asset paths, removal of runtime-only
`/Replicator` and `/Render` graphs, and resolution of every packaged
local dependency.
2. **Isaac Sim validation:** standalone loading, required camera checks,
material resolution, and non-constant 640×360 renders from both the
external and wrist cameras.
Move or download the entire `seed_<seed>` directory to preserve material
and texture resolution.
## 4. Other
### Download
This repository is manually gated. Sign in to Hugging Face, accept the
terms, and wait for author approval before downloading files.
```bash
hf auth login
# Download the complete dataset.
hf download nerako/SpatialAct-Bench-Assets \
--repo-type dataset \
--local-dir SpatialAct-Bench-Assets
# Or download only the scene release and its manifest.
hf download nerako/SpatialAct-Bench-Assets \
scene/ benchmark_32_scenes.json \
--repo-type dataset \
--local-dir SpatialAct-Bench-Scenes
```
For the object release, run `python3 tools/verify_release.py` after a full
download to perform the provided integrity checks.
### Access status
The dataset page is publicly discoverable, but file access is
**manually gated**. Access requests are reviewed by the authors and must
be approved before download. Gating does not replace compliance with the
license and third-party terms.
### License and third-party terms
The dataset-authored selection, normalization, converted representations,
and metadata are released for non-commercial research under **CC BY-NC
4.0** as described in [`LICENSE`](./LICENSE).
Underlying geometry, textures, and other third-party components remain
subject to their applicable upstream licenses and attribution
requirements. Inclusion in this repository does not relicense those
components or grant rights beyond their original terms. Object-level
source information is documented in
[`provenance/third_party_notices.md`](./provenance/third_party_notices.md).
Scene bundles and their embedded/runtime dependencies must likewise be
used in accordance with the terms of their upstream scene-generation and
simulation components; see
[`provenance/scene_third_party_notices.md`](./provenance/scene_third_party_notices.md).
Review the applicable upstream terms before use or redistribution.
### Citation
A formal citation will be added with the accompanying SpatialAct-Bench
paper.
### Changelog
- **v1.1** (2026-07-31): Added the 32-scene portable benchmark release
and scene manifest.
- **v1.0** (2026-07-21): Initial 701-object release with unified
five-scene graspability evaluation.