---
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}
}
```