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PhysicalAI SimReady Homes: Multi-Room Interiors
1,000 simulation-ready multi-room home interiors in OpenUSD, each with physics, PBR materials, HDRI lighting, an editable scene graph, and a SimReady metadata sidecar.
Built by Imagine.io with simreadyfloorplans. Companion to
PhysicalAI SimReady Assets, which holds the
object, material and HDRI library these scenes draw from.
| Scenes | 1,000 |
| Floorplans | 4 (scandinavian_1br, scandinavian_2br, scandinavian_3bed, scandinavian_4br) |
| Seeds per floorplan | 250 |
| Total size | 1.55 GB (mean 1.55 MB per scene) |
| Objects per scene | ~322 |
| Distinct assets used | 513 |
| HDRI environments | 6 |
| Floor material packs | 25 |
Read this first — three things that will surprise you
1. A scene needs network access to open. The bundle holds the USD, not the geometry.
Every mesh, PBR texture and the HDRI resolves by https:// URL from the public, ungated
imagineio/PhysicalAI-SimReady-Assets at load time. That is
why a scene is under a megabyte instead of about a gigabyte, and it means you need a
resolver that speaks HTTPS — Isaac Sim's OmniUsdResolver does, the PyPI usd-core build
does not (it opens the stage and shows an empty room). Access here is enough; the assets
repo needs no separate grant.
If assets come up missing after a network blip, Omniverse caches the failed fetch. Clear
%LOCALAPPDATA%\ov\cache (Windows) or ~/.cache/ov (Linux) before retrying.
2. There are 4 floorplans, not 1,000. Each is furnished 250 times. A seed is a genuine re-furnish, not a re-skin: measured between two seeds of one floorplan, 73 of 98 shared objects move, the object count rises 112 → 139, the kitchen re-tiles, and every material pack and asset pick changes. But the walls do not move — room polygons, door positions and the footprint are identical across all seeds of a floorplan. If you need architectural diversity, this is 4 architectures.
3. A scene is one archive, and it nests. Download <scene_digest>.zip, unpack it, then
open model.usdz — you cannot point a viewer at the download. There is no text-readable USD
layer at any level; the root inside the package is a binary crate (model.usdc).
What's in each scene
scenes/<style>/<scene_digest>.zip ~1.55 MB
model.usdz the scene: geometry, physics, materials, lighting, cameras
metadata.json SimReady sidecar — rooms, objects, physics index, design choices
topdown.png plan sheet (imperial drafting sheet)
scene_graph.json editable room/object graph with poses and asset refs
floorplan.json the source floorplan the scene was built from
The archive is named by a digest of its scene graph, so identical scenes are identical files.
layouts/<style>/ carries each floorplan's authored inputs once.
Browse the index
scenes.parquet is the index — and because nothing inside a bundle has its own URL, it is the
only index. Every variation axis is a column, so you filter here and download only what you
want. The preview column embeds a 256 px thumbnail, so the Data Studio viewer above shows a
plan sheet for every row.
import pandas as pd
df = pd.read_parquet("hf://datasets/imagineio/PhysicalAI-SimReady-Homes/scenes.parquet")
hits = df[(df.bedrooms == 3) & (df.interior_run == "island") & (df.tv_mount == "wall")]
print(hits[["style", "seed", "scene_id", "zip_url"]])
Variation axes you can filter on
| Group | Columns |
|---|---|
| Identity | scene_id (= scene_digest), style, seed, zip_url, hf_path |
| Plan shape | room_count, bedrooms, bathrooms, room_types, room_areas_m2, floor_area_m2, footprint_w_m, footprint_d_m |
| Typology | circulation, open_kitchen, has_courtyard, veranda_depth |
| Surfaces | floor_pack_living, floor_pack_kitchen, floor_pack_bathroom, floor_pack_balcony, wall_pack_exterior, wall_pack_interior, ceiling_pack, wall_tile_pack, wall_tile_m, rug_packs, mat_packs |
| Kitchen design | kitchen_shape, kitchen_run_count, cabinet_door_style, cabinet_handle_variant, countertop_finish, cook_mode, oven_housing, interior_run |
| Living design | sofa_shape, tv_mount |
| Lighting | hdri, lighting_mode, sun_azimuth, color_temp, light_count |
| Assets | asset_ids, asset_names, assets_by_class, door_assets, window_assets, balcony_door_assets, object_variants |
| Composition | object_count, referenced_count, placeholder_count, class_histogram |
| Physics | rigid_body_count, static_body_count, collider_count, joint_count, articulation_root_count, material_count, camera_count |
| Quality | dropped_required, dropped_bathroom_core, scale_up_factor, scale_up_capped, bath_openings_clamped |
| Provenance | code_rev, asset_index_sha256, generated_at, remote_assets_remote, remote_assets_local, build_s, stage_timings_s |
Quick start
pip install huggingface_hub pandas pyarrow
huggingface-cli login # gated: request access first
python dataset_tools/download_scene.py --style scandinavian_3bed --seed 7 --out ./scenes --extract
python dataset_tools/validate_scene.py ./scenes/scandinavian_3bed_s7
<isaac>/python.sh dataset_tools/load_isaac.py ./scenes/scandinavian_3bed_s7/model.usdz
dataset_tools/ in this repo holds download_scene.py, extract_scene.py,
validate_scene.py and load_isaac.py.
Physics and SimReady
Every scene is authored for direct use in Isaac Sim: rigid bodies with mass and inertia,
collision approximations per object class, PhysX materials with real friction/restitution/
density, articulated openings (doors, cabinet doors, drawers) with joints, and per-object
semantic labels. metadata.json carries a physics_index naming every rigid body, static
body, collider, joint, articulation root, material, light and camera by prim path.
The design block in metadata.json records the seeded per-room choices — the door style a
kitchen's casework wears, the countertop stone, the sofa shape — at the point each was drawn.
These are not derivable from the geometry and are mirrored into the index columns above.
Metadata schema
metadata.json is simready_scene_metadata_v2: schema, schema_version, scene_id,
units, coordinate_system, usd_export, packaging, variation_config,
source_floorplan, functional_layout, dropped_furniture, design, rooms, objects,
physics_index, build_stats.
Reproducibility
Each row carries code_rev, asset_index_sha256, seed and the build flags, which together
name the exact inputs a scene came from.
One caveat, stated plainly: asset URLs point at resolve/main/ of the assets repo rather
than a pinned commit. Scenes therefore track that repo's main branch — asset fixes reach
already-published scenes for free, but a restructuring there would affect every scene here at
once.
Known limits
- 4 floorplans. See point 2 above.
- Ceiling material is constant. The library ships exactly one ceiling pack, so every scene shares it.
- Wall materials are thin — 7 packs across the corpus.
- HDRI is keyed on the seed alone, from a pool of 6, so all floorplans at a given seed share their lighting.
- Scenes are not SimReady-validated per scene in this release. The rules exist in the generator and pass on spot-checked scenes, but the corpus run did not gate on them.
License
CC BY-NC 4.0 — non-commercial research and evaluation. Commercial training, fine-tuning, product development or production use requires a separate written license from Imagine. See the access form above.
Citation
@misc{imagineio_physicalai_simready_homes,
title = {PhysicalAI SimReady Homes: Multi-Room Interiors},
author = {Imagine.io},
year = {2026},
url = {https://huggingface.co/datasets/imagineio/PhysicalAI-SimReady-Homes}
}
About Imagine.io
Imagine.io builds 3D content and simulation pipelines for retail, furniture and robotics. We generate SimReady environments at scale — get in touch if you need a corpus shaped to your task.
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