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Make SceneSmith dataset scope and procedural representation explicit
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metadata
pretty_name: Procedural Indoor Environments for Robot Simulation
license: apache-2.0
language:
  - en
task_categories:
  - robotics
size_categories:
  - n<1K
tags:
  - simulation
  - indoor-scenes
  - scene-generation
  - embodied-ai
  - articulated-scenes
  - mujoco
  - isaac-sim
  - scenesmith
configs:
  - config_name: scenes
    data_files:
      - split: collection
        path: data/scenes.parquet

Procedural Indoor Environments for Robot Simulation

Nova3D Website · Open Nova Studio

20 indoor environments generated by Nova3D using the same text prompts as SceneSmith. Each scene includes editable Python source, semantic and spatial annotations, articulated joints, physical properties, and exports for Isaac Sim, MuJoCo, Gazebo, and PyBullet.

The prompts come from the evaluation dataset released with SceneSmith (ICML 2026), by Nicholas Pfaff, Thomas Cohn, Sergey Zakharov, Rick Cory, and Russ Tedrake at MIT and Toyota Research Institute. Nova3D generated each environment independently from its text prompt. The original scene IDs identify the corresponding SceneSmith examples.

Nova3D represents each environment as a program defining its geometry, layout, materials, and mechanisms. The source and annotations expose object dimensions, joint constraints, and contact properties for inspection and modification.

The collection contains four living rooms, three dining rooms, two bedrooms, two kitchens, two recreation rooms, and seven specialized settings: an artist studio, laboratory, library, dental office, server room, pet grooming salon, and bakery.

Contributions

Contribution Released content Research Applications
Shared input prompts Original descriptions and corresponding SceneSmith IDs. Compare object coverage and spatial arrangements under the same requested scene specification.
Editable scene source Python programs defining geometry, layout, materials, and mechanisms. Vary object dimensions, placement, and physical parameters.
Semantic and spatial annotations Part IDs, labels, positions, bounds, and dimensions. Check object counts, spatial relationships, and clearance.
Articulation and contact physics Joint axes, pivots, limits, collision geometry, and body properties. Configure opening, closing, and object-interaction tasks.
Simulator exports USD, MJCF, SDF, and PyBullet files with their dependencies. Load and inspect the environments in existing simulation tools.

Generation inputs

All 20 scenes were generated from text alone using GPT-6 Astra. Each download includes the original prompt. SceneSmith images and meshes were not supplied to Nova3D. Selection and provenance records the scene IDs, sampling rule, and source revision.

Dataset Schema

Paths are relative to this repository. Export columns identify included native files.

Column Meaning
preview_image Rendered scene overview.
environment Readable description of the setting.
scene_id Original SceneSmith scene and prompt identifier.
base_glb Base scene geometry and appearance in GLB.
source_code Full generated Python scene source.
isaac_sim_export Native USD files are included.
mujoco_export Native MuJoCo MJCF files are included.
gazebo_export Native Gazebo SDF files are included.
inputs Input description and upstream provenance record.
generation_model GPT-6 Astra.
part_count Number of pieces in the exported scene specification.
joint_count Number of parts declaring hinge or sliding motion.
parts Part identifiers, labels, bounds, and physical declarations.
articulation Joint-bearing parts with pivot, axis, limits, and body properties.
measurements Generated geometry bounds and dimensions in metres.
physics World and body physical parameters.
materials Texture paths and native material-binding locations.
isaac_usd USD scene entrypoint.
mujoco_mjcf MuJoCo XML entrypoint.
gazebo_sdf Gazebo world entrypoint.
category Indoor setting category.

Download

pip install huggingface_hub

Download a complete scene archive:

from huggingface_hub import hf_hub_download

archive = hf_hub_download(
    repo_id="BoooomNing/nova-scenesmith",
    repo_type="dataset",
    revision="v1.0.0",
    filename="archives/scene_034.zip",
    local_dir="nova-indoor-scenes",
)

Extract it, then open an entrypoint below. The archive contains the same scene files listed in the dataset, with all relative dependencies retained.

Tool File inside scenes/<scene_id>/
Isaac Sim simulation/environment.usda
MuJoCo simulation/environment.xml
Gazebo simulation/world.sdf
PyBullet simulation/run_pybullet.py
GLB viewer base/model.glb

For all 20 archives, use snapshot_download with allow_patterns=["archives/*", "LICENSE", "NOTICE", "CREDITS.md", "credits/*"]. Individual scene files are also available under scenes/.

Citation and credits

Please cite SceneSmith and this collection when using the paired descriptions and Nova3D outputs. BibTeX · Credits and licenses · Files


Nova3D Website · Open Nova Studio