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