---
license: cc-by-nc-4.0
task_categories:
- visual-question-answering
- image-to-text
viewer: false
# Gated form configuration
extra_gated_fields:
full_name:
type: "text"
label: "Full Name"
affiliation:
type: "text"
label: "Affiliation / Organization"
email:
type: "text"
label: "Institutional Email (preferred)"
country:
type: "country"
label: "Country / Region"
intended_use:
type: "select"
label: "Intended Use Case"
options: ["Academic research", "Educational purpose", "Internal enterprise testing (non-commercial)", "Other"]
non_commercial_use:
type: "checkbox"
label: "I confirm that this dataset will be used for non-commercial purposes only"
data_protection_ack:
type: "checkbox"
label: "I confirm that I will not attempt to extract personal, sensitive, or confidential information from this dataset"
extra_gated_prompt: |
To request access to the **ArchCAD** dataset, please complete the following form.
Access is restricted to non-commercial use.
All requests will be reviewed, and approval may take up to 3 business days.
---
# ποΈ ArchCAD
[πΊπΈ English](README.md) | [π¨π³ δΈζθ―΄ζ](README_zh-CN.md)
[](https://arxiv.org/abs/2503.22346) [](https://github.com/ArchiAI-LAB/ArchCAD) [](https://huggingface.co/datasets/jackluoluo/ArchCAD)
*A Multimodal CAD Dataset for Vectorized Drawing Understanding*
> **40k Samples Β· 5 Strictly Aligned Modalities Β· Foundational Data for AI Understanding of Engineering Drawings**
---
## π Table of Contents
- [What is ArchCAD?](#π-what-is-archcad)
- [Key Features](#β¨-key-features)
- [Dataset Structure](#π§©-dataset-structure)
- [Data Modalities](#data-modalities)
- [Annotations](#annotations)
- [Baseline Model: DPSS](#π-baseline-model-dpss)
- [Potential Applications](#π-potential-applications)
- [Citation](#π-citation)
---
## π What is ArchCAD?
AI systems have long struggled to interpret and utilize CAD drawings directly β a major bottleneck in automation for the construction industry.
**ArchCAD** aims to address this challenge by providing a large-scale, high-quality CAD dataset with fine-grained, primitive-level annotations.
It serves as a foundation for training AI models with deep multimodal understanding of architectural and engineering drawings.
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.
---
## β¨ Key Features
- **π§ Rich Multimodal Data**: Each sample includes five synchronized data types β raster image, SVG, JSON, Q&A, and point cloud.
- **ποΈ Primitive-Level Annotation**: Every geometric entity (e.g., line, arc, circle) within a slice carries both semantic and instance-level labels.
- **π§© Strict Data Alignment**: All five modalities correspond exactly by filename.
---
## π§© Dataset Structure
### Data Modalities
Each ArchCAD sample provides five data modalities:
1. **Rasterized Images**: Standard pixel representation of CAD drawings.
2. **SVG Data (Vector Graphics)**: Preserves full vector information.
```xml
...
```
3. **JSON Data**: Explicit representation of every geometric element as an independent object with all properties stored as key-value pairs.
```json
[
{
"type": "LINE",
"linetype": "Continuous",
"start": [x1, y1],
"end": [x2, y2],
"rgb": [0, 0, 0],
"semantic": "single_door",
"instance": "single_door_23"
},
{
"type": "CIRCLE",
"center": [x1, y1],
"radius": r1,
"semantic": "single_door",
"instance": "single_door_23"
}
]
```
4. **Q&A Pairs**: Automatically generated structured question-answer pairs for each drawing slice.
- **question:** How many doors are in the drawing?
**answer:** There are 11 doors in total, including 7 single doors, 1 double door, 1 parent-child door, and 2 other types.
- **question:** What are the coordinates of the staircase?
**answer:** The bounding box of the staircase has vertices at (0, 624), (104, 624), (104, 827), (0, 827).
5. **Point Cloud Data**: Key control points from geometric primitives (e.g., lines, arcs, circles) represented as 2D point clouds with class labels.
### Annotations
Each geometric primitive in ArchCAD carries semantic information, and countable entities additionally have instance-level labels:
- `semantic`: the semantic class of the primitive (mapping provided below).
- `instance`: a unique identifier shared by all primitives belonging to the same object instance.
| ID | Name | Countable |
|-----|--------------------|------------|
| 0 | Axis & Grid | No |
| 1 | Single Door | Yes |
| 2 | Double Door | Yes |
| 3 | Parent-Child Door | Yes |
| 4 | Other Door | Yes |
| 5 | Elevator | Yes |
| 6 | Staircase | Yes |
| 7 | Sink | Yes |
| 8 | Urinal | Yes |
| 9 | Toilet | Yes |
| 10 | Bathtub | Yes |
| 11 | Squat Toilet | Yes |
| 12 | Other Fixtures | No |
| 13 | Drain | No |
| 14 | Table | Yes |
| 15 | Chair | Yes |
| 16 | Bed | Yes |
| 17 | Sofa | Yes |
| 18 | Hole | Yes |
| 19 | Glass | No |
| 20 | Wall | No |
| 21 | Concrete Column | Yes |
| 22 | Steel Column | Yes |
| 23 | Concrete Beam | No |
| 24 | Steel Beam | No |
| 25 | Parking Space | Yes |
| 26 | Foundation | No |
| 27 | Pile | Yes |
| 28 | Rebar | No |
| 29 | Fire Hydrant | Yes |
| 100 | Others | No |
---
## π Citation
If you use ArchCAD in your research, please cite the following paper:
```bibtex
@article{Luo2025ArchCAD,
title={ArchCAD-400K: An Open Large-Scale Architectural CAD Dataset and New Baseline for Panoptic Symbol Spotting},
author={Luo R, Liu Z, Cheng T, et al.},
journal={arXiv preprint arXiv:2503.22346},
year={2025}
}
```