Add dataset card and metadata for Garment Particles

README.md

@@ -1,3 +1,45 @@
 ---
 license: mit
+task_categories:
+- text-to-3d
+- image-to-3d
 ---
+
+# Garment Particles: A 2D–3D Symmetric Garment Representation for Generation and Editing
+
+[Project Page](https://garment-particles.github.io) | [Paper](https://huggingface.co/papers/2605.26391) | [GitHub](https://github.com/garment-particles/GarmentParticles)
+
+Garment Particles is a 5D point-cloud representation that jointly encodes 2D sewing patterns and 3D geometry. This representation enables Garment Particles Flow (GPF), a framework that supports intuitive garment generation from high-level inputs such as text, images, and sketches, as well as various editing operations.
+
+## Dataset Structure
+
+The dataset consists of:
+- `data/particles-*.tar`: 26 shards of per-garment particle data (`rand_<id>/garment_particles_rand_<id>.h5` + `stats.txt`).
+- `splits/garment_particle_v2_{train,test}_11182025.txt`: Train and test split files.
+
+## Usage
+
+As described in the [official repository](https://github.com/garment-particles/GarmentParticles), you can download and unpack the shards using the Hugging Face CLI:
+
+```bash
+# Download the shards
+huggingface-cli download georgeNakayama/GarmentParticles --repo-type dataset --local-dir garment_data
+
+# Unpack the shards
+cd garment_data
+for t in data/*.tar; do tar -xf "$t"; done
+cd ..
+```
+
+This will extract the data into a structure like `garment_data/rand_<id>/garment_particles_rand_<id>.h5`.
+
+## Citation
+
+```bibtex
+@article{garmentparticles2026,
+  title={Garment Particles: A 2D--3D Symmetric Garment Representation for Generation and Editing},
+  author={Nakayama, George and others},
+  journal={SIGGRAPH Conference Papers},
+  year={2026}
+}
+```