Publish the DeepCAD test dataset

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README.md

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+---
+license: other
+license_name: upstream-terms
+license_link: https://huggingface.co/datasets/YuXingyao/HoLa-BRep#sources-and-licensing
+language:
+- en
+size_categories:
+- 1K<n<10K
+tags:
+- cad
+- brep
+- 3d
+- deepcad
+- test-split
+pretty_name: HoLa-BRep DeepCAD Test Set
+---
+
+# HoLa-BRep: DeepCAD test set
+
+This release contains the **original 2,424-object DeepCAD test split** used by the HoLa-BRep data interface, with historical geometry and multimodal condition assets. It is intended for evaluation and reproducibility of [HoLa: B-Rep Generation using a Holistic Latent Representation](https://arxiv.org/abs/2504.14257).
+
+**Only the test split is included.** There are no training or validation samples, checkpoints, or light-field-distance (LFD) features. The original test membership is preserved.
+
+## Download and extract
+
+Install the Hugging Face CLI if needed:
+
+```bash
+pip install -U huggingface_hub
+```
+
+From your HoLa-BRep project directory:
+
+```bash
+hf download YuXingyao/HoLa-BRep \
+  data.zip manifest.json SHA256SUMS README.md \
+  --repo-type dataset --local-dir hola-test-download
+
+(cd hola-test-download && sha256sum -c SHA256SUMS)
+unzip hola-test-download/data.zip -d data
+```
+
+The ZIP contains `organized_data/` and `data_index/` directly. Extracting with `-d data` produces the paths expected by the [HoLa-BRep repository](https://github.com/yilinliu77/HoLa-Brep):
+
+```text
+data/
+├── data_index/
+│   └── deduplicated_deepcad_testing_7_30.txt
+└── organized_data/
+    ├── 00000093/
+    │   ├── data.npz
+    │   ├── img_feature_dinov2.npy
+    │   ├── imgs.npz
+    │   ├── normalized_shape.step
+    │   ├── pc.ply
+    │   ├── text.txt
+    │   └── text_feat.npy
+    └── ...
+```
+
+There is **no `data_lfd_feat/` directory** in this release. Original LFD/novelty commands that need those features or training references are not supported by this package alone.
+
+## Files and layout
+
+Each of the 2,424 IDs has seven files (16,968 object files in total). Their combined size before ZIP packaging is 10,533,747,354 bytes, approximately 10.53 GB / 9.81 GiB, excluding the split and release metadata.
+
+| File | Contents |
+| --- | --- |
+| `data.npz` | Historical B-Rep arrays, including `sample_points_faces`, `sample_points_lines`, `face_adj`, `edge_face_connectivity`, and `zero_positions`. Objects have 7–30 faces. |
+| `normalized_shape.step` | Historical normalized STEP geometry. |
+| `imgs.npz` | RGB uint8 images at 224×224: 64 `svr_imgs`, 64 `sketch_imgs`, and 512 `mvr_imgs`. |
+| `img_feature_dinov2.npy` | Float32 array `(640, 1024)`: SVR rows 0–63, sketch rows 64–127, then eight MVR camera groups of 64 rows. |
+| `pc.ply` | 10,000 points with XYZ coordinates and normals. |
+| `text.txt` | Text2CAD-derived descriptions associated with the CAD model. |
+| `text_feat.npy` | Float32 array `(4, 1024)` containing precomputed text features. |
+
+The 64-entry dimension follows the historical Euler augmentation enumeration, which includes repeated spatial rotations. It is not a set of 64 unique camera views. Within MVR, camera is the outer index and augmentation is the inner index.
+
+`manifest.json` records every archive member's relative path, byte size and SHA256, plus the original ID order and archive information. `SHA256SUMS` covers the archive, manifest and this README.
+
+## Sources and licensing
+
+This release preserves HoLa's original test membership from [DeepCAD](https://github.com/rundiwu/DeepCAD), together with historical HoLa preprocessing and condition assets. DeepCAD traces its CAD models to public Onshape documents linked by ABC. The historical text preparation pipeline uses annotations from [Text2CAD](https://huggingface.co/datasets/SadilKhan/Text2CAD). Please cite HoLa, DeepCAD and Text2CAD when using their assets.
+
+Materials retain their applicable upstream terms; this packaging release does not relicense the underlying assets. The [HoLa source repository's license file](https://github.com/yilinliu77/HoLa-Brep/blob/8438eb328e01e3b54415e92370fac5dbec54a2df/LICENSE) contains GNU GPL Version 3. Text2CAD's official dataset card specifies **CC BY-NC-SA 4.0** for its annotations. Refer to the linked DeepCAD project for its data provenance and notices; its software license is not presented here as a separate license for all underlying CAD documents. The Hub metadata points to this section because the package contains materials from multiple upstream sources.
+
+## Release identity
+
+- Release: `test-v1`.
+- Test objects: **2,424**; training/validation objects included: **0**.
+- Split file SHA256: `16352426a1878ee6836c3ddb306080a65313e92a5204a519e1386bdc59fc643a`.
+- Historical loader reference: HoLa-BRep commit `8438eb328e01e3b54415e92370fac5dbec54a2df`.
+- Paper: [HoLa: B-Rep Generation using a Holistic Latent Representation](https://arxiv.org/abs/2504.14257).

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