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---
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license: cc-by-nc-4.0
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task_categories:
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- visual-question-answering
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- image-to-text
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viewer: false
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extra_gated_fields:
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full_name:
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type: "text"
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label: "Full Name"
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affiliation:
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type: "text"
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label: "Affiliation / Organization"
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email:
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type: "text"
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label: "Institutional Email (preferred)"
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country:
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type: "country"
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label: "Country / Region"
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intended_use:
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type: "select"
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label: "Intended Use Case"
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options: ["Academic research", "Educational purpose", "Internal enterprise testing (non-commercial)", "Other"]
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non_commercial_use:
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type: "checkbox"
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label: "I confirm that this dataset will be used for non-commercial purposes only"
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data_protection_ack:
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type: "checkbox"
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label: "I confirm that I will not attempt to extract personal, sensitive, or confidential information from this dataset"
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extra_gated_prompt: |
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To request access to the **ArchCAD** dataset, please complete the following form.
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Access is restricted to non-commercial use.
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All requests will be reviewed, and approval may take up to 3 business days.
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---
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# ποΈ ArchCAD
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[πΊπΈ English](README.md) | [π¨π³ δΈζθ―΄ζ](README_zh-CN.md)
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<div align="left">
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[](https://arxiv.org/abs/2503.22346) [](https://github.com/ArchiAI-LAB/ArchCAD) [](https://huggingface.co/datasets/jackluoluo/ArchCAD)
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</div>
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*A Multimodal CAD Dataset for Vectorized Drawing Understanding*
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> **40k Samples Β· 5 Strictly Aligned Modalities Β· Foundational Data for AI Understanding of Engineering Drawings**
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---
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## π Table of Contents
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- [What is ArchCAD?](#π-what-is-archcad)
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- [Key Features](#β¨-key-features)
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- [Dataset Structure](#π§©-dataset-structure)
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- [Data Modalities](#data-modalities)
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- [Annotations](#annotations)
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- [Baseline Model: DPSS](#π-baseline-model-dpss)
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- [Potential Applications](#π-potential-applications)
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- [Citation](#π-citation)
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---
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## π What is ArchCAD?
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AI systems have long struggled to interpret and utilize CAD drawings directly β a major bottleneck in automation for the construction industry.
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**ArchCAD** aims to address this challenge by providing a large-scale, high-quality CAD dataset with fine-grained, primitive-level annotations.
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It serves as a foundation for training AI models with deep multimodal understanding of architectural and engineering drawings.
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Each sample is generated through a **βdrawing slicingβ** process, where each slice corresponds to a 14m Γ 14m area of a floor plan, aligned across multiple data modalities.
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---
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## β¨ Key Features
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- **π§ Rich Multimodal Data**: Each sample includes five synchronized data types β raster image, SVG, JSON, Q&A, and point cloud.
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- **ποΈ Primitive-Level Annotation**: Every geometric entity (e.g., line, arc, circle) within a slice carries both semantic and instance-level labels.
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- **𧩠Strict Data Alignment**: All five modalities correspond exactly by filename.
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---
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## 𧩠Dataset Structure
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### Data Modalities
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<center>
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<img src="./assets/data_example.png">
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</center>
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Each ArchCAD sample provides five data modalities:
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1. **Rasterized Images**: Standard pixel representation of CAD drawings.
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2. **SVG Data (Vector Graphics)**: Preserves full vector information.
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```xml
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<svg>
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<path d="M x1, y1 L x2, y2" semantic="single_door" instance="single_door_23" stroke-width=1>
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<circle cx="x1" cy="y1" fill="none" r="r1" semantic="single_door" instance="single_door_23" stroke-width=1>
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...
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</svg>
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```
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3. **JSON Data**: Explicit representation of every geometric element as an independent object with all properties stored as key-value pairs.
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```json
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[
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{
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"type": "LINE",
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"linetype": "Continuous",
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"start": [x1, y1],
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"end": [x2, y2],
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"rgb": [0, 0, 0],
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"semantic": "single_door",
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"instance": "single_door_23"
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},
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{
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"type": "CIRCLE",
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"center": [x1, y1],
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"radius": r1,
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"semantic": "single_door",
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"instance": "single_door_23"
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}
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]
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```
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4. **Q&A Pairs**: Automatically generated structured question-answer pairs for each drawing slice.
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- **question:** How many doors are in the drawing?
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**answer:** There are 11 doors in total, including 7 single doors, 1 double door, 1 parent-child door, and 2 other types.
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- **question:** What are the coordinates of the staircase?
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**answer:** The bounding box of the staircase has vertices at (0, 624), (104, 624), (104, 827), (0, 827).
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5. **Point Cloud Data**: Key control points from geometric primitives (e.g., lines, arcs, circles) represented as 2D point clouds with class labels.
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### Annotations
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Each geometric primitive in ArchCAD carries semantic information, and countable entities additionally have instance-level labels:
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- `semantic`: the semantic class of the primitive (mapping provided below).
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- `instance`: a unique identifier shared by all primitives belonging to the same object instance.
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| ID | Name | Countable |
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|-----|--------------------|------------|
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| 0 | Axis & Grid | No |
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| 1 | Single Door | Yes |
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| 2 | Double Door | Yes |
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| 3 | Parent-Child Door | Yes |
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| 4 | Other Door | Yes |
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| 5 | Elevator | Yes |
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| 6 | Staircase | Yes |
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| 7 | Sink | Yes |
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| 8 | Urinal | Yes |
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| 9 | Toilet | Yes |
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| 10 | Bathtub | Yes |
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| 11 | Squat Toilet | Yes |
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| 12 | Other Fixtures | No |
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| 13 | Drain | No |
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| 14 | Table | Yes |
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| 15 | Chair | Yes |
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| 16 | Bed | Yes |
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| 17 | Sofa | Yes |
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| 18 | Hole | Yes |
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| 19 | Glass | No |
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| 20 | Wall | No |
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| 21 | Concrete Column | Yes |
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| 22 | Steel Column | Yes |
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| 23 | Concrete Beam | No |
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| 24 | Steel Beam | No |
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| 25 | Parking Space | Yes |
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| 26 | Foundation | No |
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| 27 | Pile | Yes |
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| 28 | Rebar | No |
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| 29 | Fire Hydrant | Yes |
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| 100 | Others | No |
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---
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## π Citation
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If you use ArchCAD in your research, please cite the following paper:
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```bibtex
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@article{Luo2025ArchCAD,
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title={ArchCAD-400K: An Open Large-Scale Architectural CAD Dataset and New Baseline for Panoptic Symbol Spotting},
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author={Luo R, Liu Z, Cheng T, et al.},
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journal={arXiv preprint arXiv:2503.22346},
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year={2025}
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}
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```
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