MansionWorld / README.md
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---
license: cc-by-4.0
task_categories:
- robotics
tags:
- embodied-ai
- simulation
- 3d-scene
- ai2thor
- multi-floor
- indoor-environment
pretty_name: MansionWorld
size_categories:
- 1K<n<10K
extra_gated_prompt: >-
By accessing this dataset, you agree to use it for research purposes only
and to cite the associated paper in any publications.
extra_gated_fields:
Name: text
Affiliation: text
Purpose of use: text
I agree to use this dataset for non-commercial research purposes only: checkbox
---
# MansionWorld
<p align="center">
<img src="teaser.png" width="100%" />
</p>
**MansionWorld** is a large-scale multi-floor indoor scene dataset for embodied AI research, built on top of the AI2-THOR simulator.
## Key Features
- **1,000 interactive multi-floor buildings** with 2–10 floors each
- **10,000+ rooms** in total across all buildings
- **Diverse building types**: Residential (50%), Office (30%), Public (20%)
<p align="center">
<img src="mansionworld_dataset.png" width="80%" />
</p>
## Download
The dataset is provided as zip archives for easier downloading:
| File | Size | Description |
|------|------|-------------|
| `mansionworld.zip` | ~2.9 GB | All 1,000 building scenes |
| `mansion_patch.zip` | ~789 MB | Additional assets (elevators, stairs, etc.) |
## Dataset Structure
After extracting `mansionworld.zip`:
```
mansionworld/
├── {building_type}_{floors}f_{area}_fp{id}#{variant}/
│ ├── floor_1.json # Floor configuration (doors, walls, objects, rooms)
│ ├── floor_1.png # Floor plan visualization
│ ├── floor_2.json
│ ├── floor_2.png
│ └── ...
└── ...
```
### Building Naming Convention
Example: `office_corporate_hq_6f_300_fp001#1`
- `office_corporate_hq`: Building type (office - corporate headquarters)
- `6f`: Number of floors (6 floors)
- `300`: Approximate floor area (m²)
- `fp001`: Floorplan template ID
- `#1`: Variant index
## Usage
Coming soon: Code examples for loading MansionWorld scenes in AI2-THOR.
## Links
- Paper: Coming soon
- GitHub: Coming soon
## License
This dataset is released under the [CC BY 4.0 License](https://creativecommons.org/licenses/by/4.0/).