Hi @jhxu003 🤗
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/2605.10813.
The paper page lets people discuss about your paper and lets them find artifacts about it, you can also claim the paper as yours which will show up on your public profile at HF, and add Github and project page URLs.
I noticed in the header of your Arxiv PDF that you have a "Dataset" badge with a Hugging Face 🤗 emoji! It's great to see your intent to share the research artifacts with the community.
I also see in your repository roadmap that the "Benchmark evaluation suite" is currently a work in progress. Would you like to host that dataset on Hugging Face when it's ready?
Hosting on Hugging Face will give you more visibility and enable better discoverability. It will also allow people to easily interact with your benchmarks using our library:
from datasets import load_dataset
dataset = load_dataset("your-hf-org-or-username/your-dataset-name")If you're interested, you can find a guide here: https://huggingface.co/docs/datasets/loading. Besides that, there's the dataset viewer which allows people to quickly explore the data in the browser.
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 or need any guidance!
Kind regards,
Niels
ML Engineer @ HF 🤗
Hi @jhxu003 🤗
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/2605.10813.
The paper page lets people discuss about your paper and lets them find artifacts about it, you can also claim the paper as yours which will show up on your public profile at HF, and add Github and project page URLs.
I noticed in the header of your Arxiv PDF that you have a "Dataset" badge with a Hugging Face 🤗 emoji! It's great to see your intent to share the research artifacts with the community.
I also see in your repository roadmap that the "Benchmark evaluation suite" is currently a work in progress. Would you like to host that dataset on Hugging Face when it's ready?
Hosting on Hugging Face will give you more visibility and enable better discoverability. It will also allow people to easily interact with your benchmarks using our library:
If you're interested, you can find a guide here: https://huggingface.co/docs/datasets/loading. Besides that, there's the dataset viewer which allows people to quickly explore the data in the browser.
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 or need any guidance!
Kind regards,
Niels
ML Engineer @ HF 🤗