Release artifacts (models, dataset) on Hugging Face

[NielsRogge]

Hi @mengrusun 🤗

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/2602.04735.
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.

I saw on your GitHub repository that you plan to release the code and data for Data2Behavior soon. It'd be great to make the checkpoints and dataset available on the 🤗 hub, to improve their discoverability/visibility.
We can add tags so that people find them when filtering https://huggingface.co/models and https://huggingface.co/datasets.

Uploading models/methods

While your work uses existing base models, if you plan to release any specific data feature signatures or the implementation of the MDF method, hosting them on Hugging Face will allow for easy integration. See here for a guide: https://huggingface.co/docs/hub/models-uploading.

Uploading dataset

Would be awesome to make the dataset/benchmarks available on 🤗 , so that people can do:

from datasets import load_dataset

dataset = load_dataset("your-hf-org-or-username/Data2Behavior")

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 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 🤗