Release Radar-APLANC model and RHB dataset on Hugging Face

[NielsRogge]

Hi @RadarHRSensing 🤗

Niels here from the open-source team at Hugging Face. I discovered your work on Arxiv and noticed your paper "Radar-APLANC: Unsupervised Radar-based Heartbeat Sensing via Augmented Pseudo-Label and Noise Contrast" (https://huggingface.co/papers/2511.08071) mentions releasing your code and dataset at https://github.com/RadarHRSensing/Radar-APLANC.

The Hugging Face paper page allows people to discuss your paper and find related artifacts (models, datasets, demos). You can also claim the paper as yours, which will show up on your public profile, and add GitHub/project page URLs.

I saw in your contributions section (point 4) that you collected a new radar-based heartbeat sensing benchmark dataset (RHB) from 80 subjects, which will be open-sourced for community research. That's fantastic! We'd be thrilled to help you host your Radar-APLANC model checkpoints and the RHB dataset on the 🤗 Hub once they are ready, to improve their discoverability and visibility. We can add tags so that people can easily find them when filtering https://huggingface.co/models and https://huggingface.co/datasets.

Uploading models (once ready)

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 leverage the hf_hub_download one-liner to download a checkpoint from the hub. For a model focused on radar-based heartbeat sensing, a suitable pipeline tag could be other or time-series-forecasting.

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 (RHB)

Would be awesome to make the RHB dataset available on 🤗 , 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. For a radar-based heartbeat sensing dataset, a relevant task category could be other or time-series-forecasting.

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, or when you anticipate the release!

Cheers,

Niels
ML Engineer @ HF 🤗