Release artifacts (datasets) on Hugging Face & link models

[NielsRogge]

Hi @BlueZeros 🤗

Niels here from 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/2510.25628.
The paper page lets people discuss about your paper and lets them find artifacts about it (your models, datasets or demo 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.

It's fantastic to see that the EHR-R1 models (EHR-R1-1.7B, EHR-R1-8B, EHR-R1-72B) are already available on the Hugging Face Hub! We can help link these existing models to your paper page for even better discoverability.

Additionally, it'd be great to make the newly introduced EHR-Ins and EHR-Bench datasets available on the 🤗 hub, to improve their discoverability/visibility.
We can add tags so that people find them when filtering https://huggingface.co/datasets.

Uploading dataset

Would be awesome to make the datasets available on 🤗 , so that people can do:

from datasets import load_dataset

dataset = load_dataset("your-hf-org-or-username/your-dataset")

See here for a guide: https://huggingface.co/docs/datasets/loading.

Besides that, there's the dataset viewer which allows people to quickly explore the first few rows of the data in the browser.

Let me know if you're interested/need any help regarding this!

Cheers,

Niels
ML Engineer @ HF 🤗