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OldDelorean/FloorplanQA-Layouts

FloorplanQA (Layouts Only) This repository contains 2,000 JSON layouts used in the paper: "FloorplanQA: A Benchmark for Spatial Reasoning in LLMs Using Structured Representations" arXiv: https://arxiv.org/abs/2507.07644 Project Page: https://olddelorean.github.io/FloorplanQA/ Contents 600 synthetic kitchens 600 synthetic living rooms 600 synthetic bedrooms 200 layouts derived from HSSD-200 The release includes only the layouts. Structure… See the full description on the dataset page: https://huggingface.co/datasets/OldDelorean/FloorplanQA-Layouts.

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FloorplanQA (Layouts Only)

This repository contains 2,000 JSON layouts used in the paper:

"FloorplanQA: A Benchmark for Spatial Reasoning in LLMs Using Structured Representations"

arXiv: https://arxiv.org/abs/2507.07644

Project Page: https://olddelorean.github.io/FloorplanQA/

Contents

  • —600 synthetic kitchens
  • —600 synthetic living rooms
  • —600 synthetic bedrooms
  • —200 layouts derived from HSSD-200

The release includes only the layouts.

Structure

layouts/
 ├── kitchen/
 ├── living_room/
 ├── bedroom/
 └── hssd/

Each JSON contains:

  • —layout_id
  • —room_type
  • —boundary polygon
  • —objects list (named polygons)
  • —openings (doors and windows)

Examples

Below are example visualizations:

<table> <tr> <td align="center"> <b>Kitchen</b><br/> <img src="visualizations/kitchenexample.svg" width="350"/> </td> <td align="center"> <b>HSSD</b><br/> <img src="visualizations/hssdexample.svg" width="350"/> </td> </tr> <tr> <td align="center"> <b>Bedroom</b><br/> <img src="visualizations/bedroomexample.svg" width="350"/> </td> <td align="center"> <b>Living Room</b><br/> <img src="visualizations/livingroomexample.svg" width="350"/> </td> </tr> </table>

📄 Citation

This dataset is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). If you use this dataset, please cite our paper:

bibtex
@inproceedings{rodionov2025floorplanqa,
  title     = {FloorplanQA: A Benchmark for Spatial Reasoning in LLMs
               using Structured Representations},
  author    = {Rodionov, Fedor and Eldesokey, Abdelrahman and Birsak, Michael
               and Femiani, John and Ghanem, Bernard and Wonka, Peter},
  booktitle = {Proceedings of the 43rd International Conference on Machine Learning (ICML)},
  year      = {2025},
  address   = {Seoul, South Korea}
}

license: cc-by-4.0 ---