Release artifacts (DigiData dataset, models) on Hugging Face

Hi @taesiri 🤗

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/2511.07413.
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 from your GitHub repository (https://github.com/facebookresearch/DigiData) and project page (https://facebookresearch.github.io/DigiData) that the `DigiData` dataset and the full `DigiData-Bench` tasks/scaffolding are "Coming soon" or "will be released soon". It'd be great to make these artifacts, including the DigiData dataset and your trained "Ours" models, available on the 🤗 hub once they are ready, 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

See here for a guide: https://huggingface.co/docs/hub/models-uploading.

In this case, we could leverage the [PyTorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) class which adds `from_pretrained` and `push_to_hub` to any custom `nn.Module`. Alternatively, one can leverages the [hf_hub_download](https://huggingface.co/docs/huggingface_hub/en/guides/download#download-a-single-file) one-liner to download a checkpoint from the hub.

We encourage researchers to push each model checkpoint to a separate model repository, so that things like download stats also work. We can then also link the checkpoints to the paper page.

## Uploading dataset

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

```python
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.

Besides that, there's the [dataset viewer](https://huggingface.co/docs/hub/en/datasets-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 🤗