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Release artifacts (models, dataset) on Hugging Face#2

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@NielsRogge

Hi @jongoiko 馃

Niels here from the open-source team at Hugging Face. I discovered your work on Arxiv and was wondering whether you would like to submit it to hf.co/papers to improve its discoverability.If you are one of the authors, you can submit it at https://huggingface.co/papers/submit.

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'd be great to make the checkpoints and dataset available on the 馃 hub, to improve their discoverability/visibility. I noticed you currently host them as ZIP files on GitHub Releases; moving them to Hugging Face would allow for better categorization and discovery via metadata tags.

Uploading models

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

We encourage researchers to push each model checkpoint (e.g., for the cart-pole, drones, and Franka arm) to a separate model repository, so that things like download stats also work. We can then also link the checkpoints to the paper page. For custom models, users can leverage the hf_hub_download one-liner to download a checkpoint from the hub directly into their scripts.

Uploading dataset

Would be awesome to make the trajectory datasets available on 馃 , 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.

Besides that, there's the dataset viewer which allows people to quickly explore the first few rows of your state-action trajectories in the browser.

Let me know if you're interested/need any help regarding this!

Cheers,

Niels
ML Engineer @ HF 馃

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