Hello,
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/2603.01042.
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's great to see that you've already hosted the Thoth-30B-A3B model on the 🤗 hub!
Would you also like to host the datasets you've released (the Book-of-Thoth corpus and the KnoTS benchmark) on https://huggingface.co/datasets?
I noticed in the README that the KnoTS benchmark is currently on the release progress list. Hosting on Hugging Face will give them more visibility/enable better discoverability, and will also allow people to do:
from datasets import load_dataset
dataset = load_dataset("thuml/KnoTS")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 first few rows of the data in the browser.
After uploaded, we can also link the datasets to the paper page (read here) so people can discover your full suite of artifacts.
Let me know if you're interested/need any guidance regarding this!
Cheers,
Niels
ML Engineer @ HF 🤗
Hello,
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/2603.01042.
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's great to see that you've already hosted the
Thoth-30B-A3Bmodel on the 🤗 hub!Would you also like to host the datasets you've released (the Book-of-Thoth corpus and the KnoTS benchmark) on https://huggingface.co/datasets?
I noticed in the README that the KnoTS benchmark is currently on the release progress list. Hosting on Hugging Face will give them more visibility/enable better discoverability, and will also allow people to do:
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 first few rows of the data in the browser.
After uploaded, we can also link the datasets to the paper page (read here) so people can discover your full suite of artifacts.
Let me know if you're interested/need any guidance regarding this!
Cheers,
Niels
ML Engineer @ HF 🤗