| --- |
| license: cc-by-nc-4.0 |
| --- |
| |
| # Structured3D-SpatialLM Dataset |
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| Structured3D dataset preprocessed in SpatialLM format for layout estimation with LLMs. |
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| ## Overview |
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| This dataset is derived from [Structured3D](https://structured3d-dataset.org/) **3,500 synthetic house designs** created by professional designers, preprocessed and formatted specifically for [SpatialLM](https://github.com/manycore-research/SpatialLM) training. |
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| Point clouds and layouts are derived from the [RoomFormer](https://github.com/ywyue/RoomFormer/tree/main/data_preprocess) data preprocessing script. |
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| ## Data Extraction |
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| Point clouds and layouts are compressed in zip files. To extract the files, run the following script: |
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| ```bash |
| cd structured3d-spatiallm |
| chmod +x extract.sh |
| ./extract.sh |
| ``` |
|
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| ## Dataset Strucutre |
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| ```bash |
| structured3d-spatiallm/ |
| ├── structured3d_train.json # Training conversations |
| ├── structured3d_test.json # Test conversations |
| ├── dataset_info.json # Dataset metadata |
| ├── split.csv # Train/val split mapping |
| ├── pcd/ # Point cloud data |
| │ └── .ply |
| ├── layout/ # Scene layout annotations |
| │ └── .txt |
| └── extract.sh # Extraction script |
| ``` |
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| The `structured3d_train.json` and `structured3d_test.json` dataset follows the **SpatialLM format** with ShareGPT-style conversations: |
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| ```json |
| { |
| "conversations": [ |
| { |
| "from": "human", |
| "value": "<point_cloud>Detect walls, doors, windows. The reference code is as followed: ..." |
| }, |
| { |
| "from": "gpt", |
| "value": "<|layout_s|>wall_0=...<|layout_e|>" |
| } |
| ], |
| "point_clouds": ["pcd/scene_id.ply"] |
| } |
| ``` |
|
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| ## License |
|
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| This dataset is derived from [Structured3D](https://github.com/bertjiazheng/Structured3D) dataset. Please refer to the original dataset's license terms for usage restrictions. |
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| ## Citation |
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| If you use this dataset in your research, please cite the original Structured3D paper: |
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| ```bibtex |
| @inproceedings{Structured3D, |
| title = {Structured3D: A Large Photo-realistic Dataset for Structured 3D Modeling}, |
| author = {Jia Zheng and Junfei Zhang and Jing Li and Rui Tang and Shenghua Gao and Zihan Zhou}, |
| booktitle = {Proceedings of The European Conference on Computer Vision (ECCV)}, |
| year = {2020} |
| } |
| ``` |
