Upload CloSe-D dataset

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LICENSE

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+MIT License
+
+Copyright (c) 2024 Dimitrije Antic
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

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+---
+license: other
+license_name: close-mixed
+license_link: LICENSE
+pretty_name: CloSe-D
+language:
+  - en
+tags:
+  - 3d
+  - point-cloud
+  - mesh
+  - clothing
+  - segmentation
+  - human
+  - smpl
+  - 3dv-2024
+task_categories:
+  - other
+task_ids: []
+size_categories:
+  - 1K<n<10K
+configs:
+  - config_name: CloSe-Di
+    data_files:
+      - split: all
+        path: CloSe-Di/*.npz
+  - config_name: CloSe-Dc
+    data_files:
+      - split: all
+        path: CloSe-Dc/*.npz
+  - config_name: CloSe-Dpp
+    data_files:
+      - split: all
+        path: CloSe-D++/*.npz
+  - config_name: CloSe-Dpp-updated
+    data_files:
+      - split: all
+        path: CloSe-D++_updated/*.npz
+---
+
+# CloSe-D: A 3D Clothing Segmentation Dataset
+
+[Project Page](https://virtualhumans.mpi-inf.mpg.de/close3dv24/) · [Paper (arXiv:2401.12051)](https://arxiv.org/abs/2401.12051) · [Code (GitHub)](https://github.com/anticdimi/CloSe)
+
+CloSe-D is a large-scale 3D clothing segmentation dataset accompanying the 3DV 2024 paper *"CloSe: A 3D Clothing Segmentation Dataset and Model"*. It provides per-vertex clothing labels, SMPL body registrations, and canonical-pose annotations for thousands of clothed human scans across 18 garment categories.
+
+## Dataset Subsets
+
+The dataset is released in three subsets with different licensing terms.
+
+| Subset | # Scans | Scans released? | Labels | SMPL reg. | Notes |
+|---|---|---|---|---|---|
+| **CloSe-Di** | 1,444 | Yes | Yes | Yes | Fully releasable |
+| **CloSe-Dc** | 1,732 | **No** (commercial) | Yes | Yes | Purchase scans from Renderpeople, Twindom, AXYZ |
+| **CloSe-D++** | ~1,000 | **No** (original sources) | Yes | — | Labels over [THuman2.0](https://github.com/ytrock/THuman2.0-Dataset), [HuMMan](https://caizhongang.com/projects/HuMMan/), [3DHumans](https://cvit.iiit.ac.in/research/projects/cvit-projects/3dhumans) |
+| **CloSe-D++_updated** | — | **No** (original sources) | Yes | — | Refined/expanded THuman2.0 labels (`THuman2.0_labels.npz`), released post-paper |
+
+For CloSe-Dc, please obtain the raw scans from:
+- [Renderpeople](https://renderpeople.com/)
+- [Twindom](https://web.twindom.com/)
+- [AXYZ](https://secure.axyz-design.com/en/shop/)
+
+## File Format
+
+- **CloSe-Di / CloSe-Dc** — one `.npz` per scan, keyed by fields such as `points, normals, colors, faces, labels, garments, pose, betas, trans, canon_pose, scale`. CloSe-Dc omits scan geometry (the commercial scans are not redistributed) and keeps labels + SMPL registration only. See [docs/dataset.md](https://github.com/anticdimi/CloSe/blob/main/docs/dataset.md) for the full field spec.
+- **CloSe-D++ / CloSe-D++_updated** — a small number of consolidated `.npz` files, each acting as a dict of `scan_id → label_array`. Access via:
+
+  ```python
+  labels = np.load('CloSe-D++/THumans2.npz')['0000']
+  ```
+
+## Garment Label Mapping
+
+```python
+{
+  0: 'Hat',        1: 'Body',       2: 'Shirt',       3: 'TShirt',
+  4: 'Vest',       5: 'Coat',       6: 'Dress',       7: 'Skirt',
+  8: 'Pants',      9: 'ShortPants', 10: 'Shoes',      11: 'Hoodies',
+  12: 'Hair',     13: 'Swimwear',  14: 'Underwear',  15: 'Scarf',
+  16: 'Jumpsuits', 17: 'Jacket'
+}
+```
+
+## Usage
+
+```python
+from huggingface_hub import snapshot_download
+import numpy as np
+
+# Download the Di subset
+path = snapshot_download(
+    repo_id='<user>/CloSe-D',
+    repo_type='dataset',
+    allow_patterns='CloSe-Di/*',
+)
+
+data = np.load(f'{path}/CloSe-Di/<scan_id>.npz')
+points, labels = data['points'], data['labels']
+```
+
+For a complete training/inference pipeline (CloSe-Net) and the interactive annotation tool (CloSe-T), see the [GitHub repository](https://github.com/anticdimi/CloSe).
+
+## Splits
+
+A reference train/test split for CloSe-Di is provided at `splits/split_closedi.npz`.
+
+## Licensing
+
+The CloSe-D dataset combines material with different licensing terms:
+
+- **CloSe-Di (scans, labels, SMPL)**: released by the authors for non-commercial research under MIT-style terms consistent with the [accompanying code repository](https://github.com/anticdimi/CloSe/blob/main/LICENSE).
+- **CloSe-Dc (labels, SMPL only)**: the authors release only annotations. The underlying scans are the property of Renderpeople, Twindom, and AXYZ and **must be purchased separately** under their respective commercial licenses.
+- **CloSe-D++ (labels only)**: annotations are released by the authors. The underlying scans are subject to the licenses of [THuman2.0](https://github.com/ytrock/THuman2.0-Dataset), [HuMMan](https://caizhongang.com/projects/HuMMan/), and [3DHumans](https://cvit.iiit.ac.in/research/projects/cvit-projects/3dhumans) and must be obtained from the original sources.
+
+By downloading this dataset you agree to these terms and to cite the paper below.
+
+## Citation
+
+```bibtex
+@inproceedings{antic2024close,
+    title     = {{CloSe}: A {3D} Clothing Segmentation Dataset and Model},
+    author    = {Anti{\'c}, Dimitrije and Tiwari, Garvita and Ozcomlekci, Batuhan and Marin, Riccardo and Pons-Moll, Gerard},
+    booktitle = {International Conference on 3D Vision (3DV)},
+    month     = {March},
+    year      = {2024},
+}
+```
+
+If you use **CloSe-D++**, please additionally cite the source datasets (THuman2.0, HuMMan, 3DHumans) — see the [project docs](https://github.com/anticdimi/CloSe/blob/main/docs/dataset.md#disclaimer) for their BibTeX.
+
+## Contact
+
+- Dimitrije Antić — <d.antic@uva.nl>
+- Garvita Tiwari — <gtiwari@mpi-inf.mpg.de>