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Hi @L-li 🤗
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/2508.10881.
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 fantastic to see that the ToonComposer model is already available on the Hugging Face Hub! This greatly enhances the discoverability and usability of your excellent work.
I noticed that your paper introduces two new datasets, PKData and PKBench, which are crucial for training and evaluating ToonComposer. It would be awesome to also make these datasets available on the 🤗 Hub, to further improve their discoverability and visibility within the community. We can add tags so that people find them easily when filtering https://huggingface.co/datasets.
Hosting your datasets on Hugging Face would also allow people to do:
from datasets import load_dataset
dataset = load_dataset("your-hf-org-or-username/your-dataset")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.
Let me know if you're interested/need any help regarding this!
Cheers,
Niels
ML Engineer @ HF 🤗