Hi @shalin-jain 🤗
I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work through Hugging Face's daily papers as yours got featured: https://huggingface.co/papers/2505.06771.
The paper page lets people discuss about your paper and lets them find artifacts about it (your scenarios for instance),
you can also claim the paper as yours which will show up on your public profile at HF, add Github and project page URLs.
Would you like to host the JaxRobotarium scenarios you've released on https://huggingface.co/datasets?
I see they are currently part of your GitHub repository. Hosting these scenarios on Hugging Face will give them more visibility and enable better discoverability for the robotics and MARL communities. We can add relevant tags in the dataset cards so that people find the environments easier, link them to the paper page, etc.
For robotics environments/benchmarks, Hugging Face provides tools and features that can be beneficial. While datasets.load_dataset is typically for traditional datasets, we can create a dedicated dataset card that links to your GitHub repository and explains how to access and use the scenarios through your code. This would provide a centralized and discoverable entry point for your work.
After uploaded, we can also link the datasets to the paper page (read here) so people can discover your work.
Let me know if you're interested/need any guidance.
Kind regards,
Niels
Hi @shalin-jain 🤗
I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work through Hugging Face's daily papers as yours got featured: https://huggingface.co/papers/2505.06771.
The paper page lets people discuss about your paper and lets them find artifacts about it (your scenarios for instance),
you can also claim the paper as yours which will show up on your public profile at HF, add Github and project page URLs.
Would you like to host the JaxRobotarium scenarios you've released on https://huggingface.co/datasets?
I see they are currently part of your GitHub repository. Hosting these scenarios on Hugging Face will give them more visibility and enable better discoverability for the robotics and MARL communities. We can add relevant tags in the dataset cards so that people find the environments easier, link them to the paper page, etc.
For robotics environments/benchmarks, Hugging Face provides tools and features that can be beneficial. While
datasets.load_datasetis typically for traditional datasets, we can create a dedicated dataset card that links to your GitHub repository and explains how to access and use the scenarios through your code. This would provide a centralized and discoverable entry point for your work.After uploaded, we can also link the datasets to the paper page (read here) so people can discover your work.
Let me know if you're interested/need any guidance.
Kind regards,
Niels