Update README.md

README.md

@@ -1,3 +1,48 @@
----
-license: odc-by
----
+---
+license: odc-by
+---
+
+## NuiScene43 Dataset
+The NuiScene43 dataset offers a curated collection of moderate to large artist-created outdoor scenes, 
+filtered from [Objaverse](https://huggingface.co/datasets/allenai/objaverse), for training and testing unbounded scene generation methods. 
+We manually unified the scene scales and ground geometry to enable consistent joint training across all 43 scenes.
+This repo includes the preprocessed occupancy grid and point cloud sampled from scenes for training [NuiScene](https://github.com/3dlg-hcvc/NuiScene?tab=readme-ov-file).
+We also include the marching cube meshes from the occupancy grid of each scene. 
+Please see the [dataset page](https://3dlg-hcvc.github.io/NuiScene43-Dataset/) for renderings of the 43 scenes,
+also the [paper](https://arxiv.org/abs/2503.16375) or [project page](https://3dlg-hcvc.github.io/NuiScene/) for more details.
+
+## License
+
+We use the same ODC-By v1.0 license as Objaverse for usage of the dataset as a whole. The individual objects may be under the following licenses:
+
+- CC-BY 4.0
+- CC-BY-NC 4.0
+- CC-BY-NC-SA 4.0
+- CC-BY-SA 4.0
+- CC0 1.0
+
+We include the metadata from the [Objaverse repo](https://huggingface.co/datasets/allenai/objaverse) for the 43 scenes in 
+***metadata/nuiscene43_metadata.json*** where you can check the licenses for individual scenes.
+
+## Citation
+
+If you use our dataset please cite our paper and Objaverse:
+```
+@article{lee2025nuiscene,
+  title={NuiScene: Exploring efficient generation of unbounded outdoor scenes},
+  author={Lee, Han-Hung and Han, Qinghong and Chang, Angel X},
+  journal={arXiv preprint arXiv:2503.16375},
+  year={2025}
+}
+```
+
+```
+@article{objaverse,
+  title={Objaverse: A Universe of Annotated 3D Objects},
+  author={Matt Deitke and Dustin Schwenk and Jordi Salvador and Luca Weihs and
+          Oscar Michel and Eli VanderBilt and Ludwig Schmidt and
+          Kiana Ehsani and Aniruddha Kembhavi and Ali Farhadi},
+  journal={arXiv preprint arXiv:2212.08051},
+  year={2022}
+}
+```