Release TopoField and PTRL dataset on Hugging Face

[NielsRogge]

Hi @duducheng 🤗

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.

I saw in your paper "Learning Topology-Aware Implicit Field for Unified Pulmonary Tree Modeling with Incomplete Topological Supervision" that you plan to release the code and data (specifically the PTRL dataset) soon. It'd be great to make the checkpoints and dataset available on the 🤗 hub, to improve their discoverability/visibility within the medical AI community. We can add tags so that people find them when filtering https://huggingface.co/models and https://huggingface.co/datasets.

Uploading models

When you are ready to release the TopoField weights, see here for a guide: https://huggingface.co/docs/hub/models-uploading.

For custom PyTorch models, we recommend leveraging the PyTorchModelHubMixin class which adds from_pretrained and push_to_hub to any custom nn.Module. Alternatively, one can use the hf_hub_download one-liner to download checkpoints from the hub.

Uploading dataset

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

from datasets import load_dataset

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

See here for a guide: https://huggingface.co/docs/datasets/loading. Besides programmatic access, the dataset viewer allows people to quickly explore the data in the browser.

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

Cheers,

Niels
ML Engineer @ HF 🤗