Release artifacts (models, dataset) on Hugging Face

[NielsRogge]

Hi @agperry 🤗

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/2605.08703.
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'd be great to make the checkpoints and dataset available on the 🤗 hub, to improve their discoverability/visibility.
I noticed you've already shared the datasets AgPerry/EditReward-Data-100 and TIGER-Lab/EditReward-Bench on the hub—we can help you link those to the paper page so that they show up in the artifacts section!

Uploading models

I also saw that your RL-tuned models (like the FLUX.2-klein-base variant) achieved impressive results on ImgEdit-Bench. Would you be interested in making those checkpoints available on the 🤗 hub as well? This would improve their discoverability and allow the community to directly use your best-performing editors.

See here for a guide: https://huggingface.co/docs/hub/models-uploading.

We encourage researchers to push each model checkpoint to a separate model repository, so that things like download stats also work. We can then also link the checkpoints to the paper page.

Uploading dataset

Since the datasets are already on 🤗 , you can link them to the paper page following this guide: https://huggingface.co/docs/hub/en/model-cards#linking-a-paper. This allows people to do:

from datasets import load_dataset

dataset = load_dataset("AgPerry/EditReward-Data-100")

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 🤗