Release Qute datasets on Hugging Face

Inizia individuando i dati CSV a bassa selettività nel repository Qute e consulta la guida al caricamento di datasets e la documentazione del dataset viewer di Hugging Face. Il lavoro sarà considerato completato quando i datasets saranno caricati su Hugging Face e collegati alla pagina dell’articolo, ma prima l’issue deve confermare che il progetto intende procedere.

Hi @weizhoudb 🤗

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/2602.14699.
The paper page lets people discuss about your paper and lets them find artifacts about it (your datasets 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.

Would you like to host the datasets you've released (the low-selectivity CSV data in your GitHub repository) 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("your-hf-org-or-username/qute-low-selectivity")

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 data files in the browser.

After uploaded, we can also link the datasets to the paper page (read here) so people can discover your work.

Let me know if you're interested/need any guidance :)

Kind regards,

Niels