Datasets:
Enhance dataset card: Add metadata, links, and sample usage
Browse filesThis PR improves the discoverability and usability of the dataset by:
- Adding relevant `task_categories` (`robotics`, `image-to-3d`) and `tags` (`3d-gaussian-splatting`, `vln`, `embodied-navigation`, `isaac-sim`, `omniverse`, `usdz`) to the metadata.
- Specifying the dataset `language` as `en`.
- Providing direct links to the associated paper ([Towards Physically Executable 3D Gaussian for Embodied Navigation](https://huggingface.co/papers/2510.21307)), the project page (https://sage-3d.github.io/), and the GitHub repository (https://github.com/Galery23/SAGE-3D_Official) at the top of the dataset card for quick reference.
- Including a "Sample Usage" section with code snippets from the GitHub repository, demonstrating how to integrate this USDZ dataset with collision meshes to build USDA scene files for Isaac Sim.
- Correcting a minor duplication error in the "Dataset Structure" section.
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---
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license: cc-by-nc-4.0
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---
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# SAGE-3D InteriorGS USDZ: USDZ-Format 3D Gaussian Scenes for Isaac Sim
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InteriorGS dataset converted to USDZ format for seamless integration with NVIDIA Omniverse and Isaac Sim platforms.
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<div align="center">
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βββ ... # 1,000 scenes total
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```
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## π Related Datasets
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This dataset is part of the **SAGE-3D** project:
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---
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@@ -99,7 +153,7 @@ If you use SAGE-3D InteriorGS USDZ in your research, please cite:
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```bibtex
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@misc{miao2025physicallyexecutable3dgaussian,
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title={Towards Physically Executable 3D Gaussian for Embodied Navigation},
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author={Bingchen Miao and Rong Wei and Zhiqi Ge and Xiaoquan
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year={2025},
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eprint={2510.21307},
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archivePrefix={arXiv},
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<div align="center">
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<strong>SAGE-3D: Semantically and Physically-Aligned Gaussian Environments for 3D Navigation</strong>
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</div>
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---
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license: cc-by-nc-4.0
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task_categories:
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- robotics
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- image-to-3d
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language: en
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tags:
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- 3d-gaussian-splatting
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- vln
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- embodied-navigation
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- isaac-sim
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- omniverse
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- usdz
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---
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# SAGE-3D InteriorGS USDZ: USDZ-Format 3D Gaussian Scenes for Isaac Sim
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[Paper](https://huggingface.co/papers/2510.21307) | [Project Page](https://sage-3d.github.io/) | [Code](https://github.com/Galery23/SAGE-3D_Official)
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InteriorGS dataset converted to USDZ format for seamless integration with NVIDIA Omniverse and Isaac Sim platforms.
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<div align="center">
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βββ ... # 1,000 scenes total
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```
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---
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## β¨ Sample Usage
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This section demonstrates how to use this USDZ dataset within the SAGE-3D framework, specifically how to build USDA scene files with integrated collision bodies for Isaac Sim.
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**Prerequisites:**
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1. Install `splat-transform` and `3DGRUT` as described in the [project's GitHub repository](https://github.com/Galery23/SAGE-3D_Official#prerequisites).
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2. Download the original [InteriorGS dataset](https://huggingface.co/datasets/spatialverse/InteriorGS) (compressed PLY files) and the [SAGE-3D Collision Mesh Dataset](https://huggingface.co/datasets/spatialverse/SAGE-3D_Collision_Mesh).
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**Step 1: Convert Compressed PLY to Original PLY (if starting from original InteriorGS)**
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```bash
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# Example: Convert a single scene
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splat-transform /path/to/InteriorGS/0001_839920/3dgs_compressed.ply \
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/path/to/output/0001_839920.ply
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```
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**Step 2: Convert PLY to USDZ (if starting from original InteriorGS)**
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```bash
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# Example: Convert a single scene
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python -m threedgrut.export.scripts.ply_to_usd \
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/path/to/ply/0001_839920.ply \
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--output_file /path/to/usdz/0001_839920.usdz
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```
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*Note: This dataset (`spatialverse/SAGE-3D_InteriorGS_usdz`) already provides the USDZ files, so you can directly use them instead of performing Steps 1 and 2.*
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**Step 3: Build USDA Scene Files with Collision Meshes**
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To use the USDZ scenes with physics simulation in Isaac Sim, they need to be combined with collision meshes and converted to USDA format.
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```bash
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python Code/benchmark/scene_data/sage3d_usda_builder.py \
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--usdz-dir /path/to/usdz_dataset \
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--out-dir /path/to/output/usda \
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--template Data/template.usda \
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--usdz-placeholder "@usdz_root[gauss.usda]@" \
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--collision-placeholder "@collision_root@" \
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--usdz-path-template "/path/to/usdz_dataset/{scene_id}.usdz[gauss.usda]" \
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--collision-path-template "/path/to/collision_mesh_dataset/{scene_id}/{scene_id}_collision.usd" \
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--overwrite
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```
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*Replace `/path/to/usdz_dataset` with the local path to this Hugging Face dataset, and `/path/to/collision_mesh_dataset` with the local path to `spatialverse/SAGE-3D_Collision_Mesh`.*
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---
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## π Related Datasets
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This dataset is part of the **SAGE-3D** project:
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1. **InteriorGS**: Original 3DGS scenes with semantic annotations
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β [spatialverse/InteriorGS](https://huggingface.co/datasets/spatialverse/InteriorGS)
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2. **SAGE-3D InteriorGS USDZ** (This dataset): USDZ format for Isaac Sim
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β [spatialverse/SAGE-3D_InteriorGS_usdz](https://huggingface.co/datasets/spatialverse/SAGE-3D_InteriorGS_usdz)
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3. **SAGE-3D Collision Mesh**: Physics-enabled collision bodies
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β [spatialverse/SAGE-3D_Collision_Mesh](https://huggingface.co/datasets/spatialverse/SAGE-3D_Collision_Mesh)
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4. **SAGE-3D VLN Data**: Navigation trajectories and instructions
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β [spatialverse/SAGE-3D_VLN_Data](https://huggingface.co/datasets/spatialverse/SAGE-3D_VLN_Data)
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---
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```bibtex
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@misc{miao2025physicallyexecutable3dgaussian,
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title={Towards Physically Executable 3D Gaussian for Embodied Navigation},
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author={Bingchen Miao and Rong Wei and Zhiqi Ge and Xiaoquan sun and Shiqi Gao and Jingzhe Zhu and Renhan Wang and Siliang Tang and Jun Xiao and Rui Tang and Juncheng Li},
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year={2025},
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eprint={2510.21307},
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archivePrefix={arXiv},
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<div align="center">
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<strong>SAGE-3D: Semantically and Physically-Aligned Gaussian Environments for 3D Navigation</strong>
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</div>
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