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license: other
pretty_name: GeomCAD
size_categories:
- 1M<n<10M
---
# GeomCAD
Dataset for **GeomCAD: A Benchmark for Precision Reconstruction of Generative CAD Operations from Point Clouds**.
## Layout
```
extrude_100w/ # training set (to be uploaded)
loft_100w/ # training set (to be uploaded)
revolve_100w/ # training set (to be uploaded)
sweep_100w/ # training set (to be uploaded)
test/
extrude/ # 1500 test samples
test_mesh_paths.json # {"<id>": "<id>/<id>.stl"} relative to test/extrude/
<id>/<id>.stl # ground-truth mesh
<id>/<id>.py # CAD-Recode-style code that produces the mesh
loft/ # 1500 test samples
revolve/ # 1500 test samples
sweep/ # 1500 test samples
```
| split | operation | #samples | size |
|-------|-----------|---------:|------:|
| test | extrude | 1500 | 61 MB |
| test | loft | 1500 | 353 MB |
| test | revolve | 1500 | 409 MB |
| test | sweep | 1500 | 410 MB |
## Usage
```python
from huggingface_hub import snapshot_download
local = snapshot_download("FanQY/GeomCAD", repo_type="dataset")
```
## License
This dataset is distributed under **CC-BY-NC-4.0**, matching CAD-Recode v1.5's licensing for upstream compatibility. Generation and evaluation code are released separately under the **MIT license**.
```bibtex
@inproceedings{geomcad2026,
title={GeomCAD: A Procedural Benchmark for Multi-Operation Point-Cloud-to-CAD Reconstruction},
author={{Fan, Qinyuan and Yu, Wentao and Xiong, Jian and Sandfeld, Stefan and Gühmann, Clemens},},
year={2026}
}
``` |