Release DuoGuard dataset on Hugging Face

[NielsRogge]

Hello @yihedeng9 🤗

Niels here from the open-source team at Hugging Face. I discovered your work on Arxiv and was wondering whether you would like to submit it to hf.co/papers to improve its discoverability. If you are one of the authors, you can submit it at https://huggingface.co/papers/submit.

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

It's great to see the pre-trained models being released on Hugging Face. Would you like to also host the dataset you've released on Hugging Face?
Hosting on Hugging Face will give you more visibility/enable better discoverability. We can add tags in the dataset card so that people find
the dataset easier, link it to the paper page, etc.

We can add tags so that people find them when filtering https://huggingface.co/datasets.

Would be awesome to make the dataset 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!

Kind regards,

Niels

[yihedeng9]

Hi Niels,

Thanks for reaching out and for your interest in our work! We appreciate the opportunity to improve the discoverability of our paper through Hugging Face. We have submitted to hf.co/papers.

For the dataset, we’re currently preparing it for release in our next update and will host it on Hugging Face. We'll make sure to include relevant tags and link it to the paper page for better visibility and reach out if we need any assistance during the process.

Thanks again for the support!

Best,
Yihe