Datasets:

superbigsaw
/

MansionWorld

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MansionWorld

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%)

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

For loading MansionWorld scenes and using the Mansion API, please refer to the documentation.

Quick Download

git clone https://huggingface.co/datasets/superbigsaw/MansionWorld

Citation

If you use MansionWorld in your research, please cite:

@misc{che2026mansionmultifloorlanguageto3dscene,
      title={MANSION: Multi-floor lANguage-to-3D Scene generatIOn for loNg-horizon tasks}, 
      author={Lirong Che and Shuo Wen and Shan Huang and Chuang Wang and Yuzhe Yang and Gregory Dudek and Xueqian Wang and Jian Su},
      year={2026},
      eprint={2603.11554},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2603.11554}, 
}