Hi @HaoyuHuang2 🤗
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/2605.10488.
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, and add Github and project page URLs.
I saw that you've already shared the DeepRefine model checkpoints on the Hub in a collection, which is awesome! To help people find them more easily, you can link those checkpoints to the paper page (guide here).
Would you also like to host the RL training datasets you've released (currently in the GitHub data/ folder) on https://huggingface.co/datasets?
Hosting on Hugging Face will give you more visibility/enable better discoverability, and will also allow people to do:
from datasets import load_dataset
dataset = load_dataset("HaoyuHuang2/deeprefine-rl-data")If you're down, leaving a guide here: 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 or need any help regarding this!
Cheers,
Niels
ML Engineer @ HF 🤗
Hi @HaoyuHuang2 🤗
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/2605.10488.
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, and add Github and project page URLs.
I saw that you've already shared the DeepRefine model checkpoints on the Hub in a collection, which is awesome! To help people find them more easily, you can link those checkpoints to the paper page (guide here).
Would you also like to host the RL training datasets you've released (currently in the GitHub
data/folder) on https://huggingface.co/datasets?Hosting on Hugging Face will give you more visibility/enable better discoverability, and will also allow people to do:
If you're down, leaving a guide here: 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 or need any help regarding this!
Cheers,
Niels
ML Engineer @ HF 🤗