Dataset Card for Masked Floorplans (Alpaca-style)
Summary
This dataset contains structured JSON representations of residential floorplans where one room has been removed (masked). Each example follows the Alpaca-style instruction format to fine-tune a language model to predict the missing room's geometric attributes based on a partial plan and a semantic conditioning signal.
Format
Each sample is a JSON object with the following fields:
- instruction: A prompt like
"Predict the geometry of the missing room." - input: A JSON-encoded partial floorplan with visible rooms and the type of the masked room.
- output: The ground-truth geometry of the missing room, including polygon coordinates, area, orientation, and adjacency.
Use Cases
- Instruction-tuning of LLMs for geometric reasoning
- Floorplan infill or layout prediction
- Generative design based on semantic layout context