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Release UDS annotated dataset and link models on Hugging Face #1

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@NielsRogge

Hi @gnueaj 🤗

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, 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.

It'd be great to make the checkpoints and dataset available on the 🤗 hub, to improve their discoverability/visibility.

Uploading models

I saw that you've already hosted the 150 unlearned models used in your meta-evaluation under the open-unlearning organization on the Hub — that's fantastic! You can actually link these checkpoints to the paper page so that they appear directly on the paper's entry (read more here).

Uploading dataset

Would it also be possible to make the annotated TOFU dataset (forget10_filtered.json) available on 🤗? Hosting it on the Hub would allow people to easily explore your annotations and load the data like this:

from datasets import load_dataset

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

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 factual entities and token spans you've annotated directly in the browser.

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

Cheers,

Niels
ML Engineer @ HF 🤗

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