Add paper link, GitHub link, and robotics task category

README.md

@@ -1,16 +1,17 @@
 ---
-license: other
-license_name: openmdw-1.1
-license_link: https://openmdw.ai/
 language:
 - en
+license: other
 size_categories:
 - 100K<n<1M
 task_categories:
 - video-classification
 - video-text-to-text
 - text-to-video
+- robotics
 pretty_name: PhysicalAI SDG-Warehouse
+license_name: openmdw-1.1
+license_link: https://openmdw.ai/
 tags:
 - physical-ai
 - synthetic-data
@@ -28,11 +29,13 @@ tags:
 
 # PhysicalAI SDG-Warehouse
 
+[Project page](https://research.nvidia.com/labs/cosmos-lab/cosmos3) | [Paper](https://huggingface.co/papers/2606.02800) | [Github](https://github.com/nvidia/cosmos)
+
 ![Hero — four warehouse-safety scenarios in synchronized multi-view simulation.](./assets/hero_2x2.webp)
 
 PhysicalAI SDG-Warehouse is a synthetic, fully-annotated video dataset of staged industrial-safety events captured in a simulated warehouse environment. It contains approximately 123k video clips, totaling roughly 412 hours of footage at 1920x1080 resolution and 30 frames per second, organized across four scenarios: a forklift near-miss with a human worker, a warehouse fire with worker evacuation, a forklift collision with a storage shelf, and a routine box-pickup action. Every multi-camera simulation run is filmed from 5 to 10 synchronized viewpoints, and the entire pipeline is reproducible end-to-end from a single random seed.
 
-This dataset is described in Appendix C.5 of the Cosmos3 technical report. This dataset is ready for commercial or non-commercial uses.
+This dataset is described in Appendix C.5 of the [Cosmos 3](https://huggingface.co/papers/2606.02800) technical report. This dataset is ready for commercial or non-commercial uses.
 
 ## Overview
 
@@ -344,7 +347,7 @@ The current release is concentrated on a single warehouse layout family. Future
 
 ## Citation
 
-If you use SDG-Warehouse in your research, please cite the dataset itself as well as the Cosmos3 technical report it accompanies:
+If you use SDG-Warehouse in your research, please cite the dataset itself as well as the [Cosmos 3](https://huggingface.co/papers/2606.02800) technical report it accompanies:
 
 ```bibtex
 @dataset{dadhich2026sdgwarehouse,
@@ -371,4 +374,4 @@ Please reach out to the main author Nalin Dadhich ([ndadhich@nvidia.com](mailto:
 
 NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications. Developers should work with their internal developer teams to ensure this dataset meets requirements for the relevant industry and use case and addresses unforeseen product misuse.
 
-Please report model quality, risk, security vulnerabilities or NVIDIA AI concerns [here](https://app.intigriti.com/programs/nvidia/nvidiavdp/detail).
+Please report model quality, risk, security vulnerabilities or NVIDIA AI concerns [here](https://app.intigriti.com/programs/nvidia/nvidiavdp/detail).