Release Neural Computer artifacts (models and datasets) on Hugging Face #3

Hi @mczhuge 🤗

Niels here from the open-source team at Hugging Face. I discovered your work through Hugging Face's daily papers as your paper "Neural Computers" got featured: https://huggingface.co/papers/2604.06425.
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 really exciting to see this new frontier of Neural Computers! I noticed you've already open-sourced the data pipeline on GitHub. It'd be great to make the trained checkpoints (like $NC_{CLIGen}$ and $NC_{GUIWorld}$) and the collected trajectory datasets (CLI/GUI traces) available on the 🤗 hub once you are ready to release them, to improve their discoverability and visibility.

Uploading models

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

In this case, we could leverage the PyTorchModelHubMixin class which adds from_pretrained and push_to_hub to any custom nn.Module. Alternatively, one can leverages the hf_hub_download 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 trajectory datasets available on 🤗, so that people can do:

from datasets import load_dataset

dataset = load_dataset("your-hf-org-or-username/cli-gui-traces")

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 trace data/frames in the browser.

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

Cheers,

Niels
ML Engineer @ HF 🤗