# 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