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Release R2BD and FaceFake-X on Hugging Face #1

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@NielsRogge

Hi @QingyuLiu 🤗

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/2601.08867.

The paper page lets people discuss about your paper and lets them find artifacts about it (your models and datasets for instance). You can also claim the paper as yours which will show up on your public profile at HF, and add GitHub/project page URLs.

I noticed in your GitHub README that you're planning to release the full code and dataset after review, and that you currently only have sample data in the repo due to GitHub's file size limits. This is a great opportunity to host your work on the Hugging Face Hub! We specifically support large datasets and model checkpoints with Git LFS, so you wouldn't have to worry about size limits.

It'd be great to make the G-LDM checkpoints and the FaceFake-X dataset available on the 🤗 hub to improve their discoverability and accessibility.

Uploading models

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

Hugging Face is ideal for hosting large datasets like FaceFake-X, so that people can easily do:

from datasets import load_dataset

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

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 data in the browser.

Let me know if you're interested or need any guidance!

Best regards,

Niels
ML Engineer @ HF 🤗

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