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Generate a floor plan with Chinese rural residence features
Plot size: 10.0m x 12.0m Room requirements: 卧室×2, 客厅, 厨房, 卫生间 Style preference: 欧式 Rural residence requirements: Central hall (Tangwu) with ancestral shrine space, Kitchen compatible with traditional stove (Tuzao) and modern appliances, Farm tool storage room, Grain drying area (courtyard or terrace), Elderly room faci...
{"canvas": {"width": 700, "height": 800}, "rooms": [{"name": "客厅", "x": 100, "y": 300, "width": 500, "height": 300, "fill": "#e8f5e8"}, {"name": "卧室1", "x": 100, "y": 50, "width": 250, "height": 200, "fill": "#e0e0f0"}], "doors": [{"x": 350, "y": 300, "direction": "north"}]}
Generate a floor plan with Chinese rural residence features
Plot size: 12.0m x 15.0m Room requirements: 堂屋, 客厅, 卧室×3, 厨房, 卫生间×2, 储藏室 Style preference: 新中式 Rural residence requirements: Central hall (Tangwu) with ancestral shrine space, Kitchen compatible with traditional stove (Tuzao) and modern appliances, Farm tool storage room, Grain drying area (courtyard or terrace), Elder...
{"canvas": {"width": 800, "height": 1000}, "rooms": [{"name": "堂屋", "x": 200, "y": 100, "width": 400, "height": 300, "fill": "#f5e6d2"}, {"name": "客厅", "x": 50, "y": 450, "width": 700, "height": 350, "fill": "#e8f5e8"}], "doors": [{"x": 400, "y": 400, "direction": "south"}], "special_features": {"神龛": {"x": 380, "y": 1...
Generate a floor plan with Chinese rural residence features
Plot size: 15.0m x 18.0m Room requirements: 堂屋, 客厅, 卧室×4, 厨房, 卫生间×2, 储藏室, 书房 Style preference: 现代 Rural residence requirements: Central hall (Tangwu) with ancestral shrine space, Kitchen compatible with traditional stove (Tuzao) and modern appliances, Farm tool storage room, Grain drying area (courtyard or terrace), El...
{"canvas": {"width": 1000, "height": 1200}, "rooms": [{"name": "堂屋", "x": 300, "y": 150, "width": 400, "height": 350, "fill": "#f5e6d2"}, {"name": "客厅", "x": 100, "y": 550, "width": 800, "height": 400, "fill": "#e8f5e8"}], "special_features": {"晾晒台": {"x": 0, "y": 0, "width": 1000, "height": 100}}}

YAML Metadata Warning:The task_categories "text2text-generation" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other

LSMP Rural CAD Dataset

This dataset contains labeled rural residence floor plans for training CAD generation models.

Dataset Structure

  • train.jsonl: Training data in JSON Lines format (90% of data)
  • eval.jsonl: Evaluation data in JSON Lines format (10% of data)

Data Format

Each sample contains:

  • instruction: Fixed instruction for floor plan generation
  • input: Plot size, room requirements, style preference, and rural residence features
  • output: SVG parameters for CAD floor plan

Rural Residence Features

The dataset includes Chinese rural residence specific requirements:

  • Central hall (Tangwu) with ancestral shrine space
  • Kitchen compatible with traditional stove and modern appliances
  • Farm tool storage room
  • Grain drying area (courtyard or terrace)
  • Elderly room facing south on ground floor

Usage

from datasets import load_dataset

dataset = load_dataset("julialovenary/lsmp-rural-cad")
train_data = dataset["train"]
eval_data = dataset["validation"]
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