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Hi @mi804 🤗
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/2504.21356.
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 the modelscope/Nexus-Gen
model checkpoint is already available on the Hugging Face Hub! I also noticed in your README that the "Training Datasets" are "To be published." It would be awesome to make this large-scale dataset (26.3 million samples) available on the 🤗 hub too, to improve its discoverability/visibility.
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.
We also support Webdataset, useful for image/video datasets: https://huggingface.co/docs/datasets/en/loading#webdataset.
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 🤗