Release RadioMapMotion (dataset) and RadioLSTM (model) on Hugging Face

[NielsRogge]

Hi @Gangzi-Jia 🤗

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 abstract that you plan to release the RadioMapMotion dataset and the RadioLSTM model upon paper acceptance. It'd be great to make these artifacts available on the 🤗 hub, to improve their discoverability/visibility once they are ready for release!
We can add tags so that people find them when filtering https://huggingface.co/models and https://huggingface.co/datasets.

Uploading models (RadioLSTM)

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.
For RadioLSTM, which performs multi-step sequence forecasting of radio maps, a relevant pipeline tag could be 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 (RadioMapMotion)

Would be awesome to make the 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 spatio-temporal dataset like RadioMapMotion, we also support Webdataset, useful for image/video datasets: https://huggingface.co/docs/datasets/en/loading#webdataset.
A relevant task category for RadioMapMotion, which consists of continuous RM sequences for spatio-temporal prediction, would be 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 once your project is publicly released!

Cheers,

Niels
ML Engineer @ HF 🤗