Hello,
I'm Niels and work as part of 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 dataset 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 GitHub README that you are planning to host the PET-Bench dataset on https://huggingface.co/datasets and are currently organizing the files. Hosting on Hugging Face will give the work more visibility/enable better discoverability, and will also allow people to do:
from datasets import load_dataset
dataset = load_dataset("your-hf-org-or-username/PET-Bench")If you're looking for guidance on the best way to structure the upload, here is a guide: https://huggingface.co/docs/datasets/loading. Since this involves medical imaging, you might find Webdataset useful for handling large numbers of images: https://huggingface.co/docs/datasets/en/loading#webdataset.
Besides that, once uploaded, the dataset viewer will allow researchers to quickly explore the VQA pairs and images directly in the browser.
Additionally, if you plan to release the models fine-tuned with Atomic Visual Alignment (AVA), we would love to host those on https://huggingface.co/models as well. After uploaded, we can also link the artifacts to the paper page (read here) so people can discover your work more effectively.
Let me know if you're interested or need any guidance :)
Kind regards,
Niels
Hello,
I'm Niels and work as part of 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 dataset 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 GitHub README that you are planning to host the PET-Bench dataset on https://huggingface.co/datasets and are currently organizing the files. Hosting on Hugging Face will give the work more visibility/enable better discoverability, and will also allow people to do:
If you're looking for guidance on the best way to structure the upload, here is a guide: https://huggingface.co/docs/datasets/loading. Since this involves medical imaging, you might find Webdataset useful for handling large numbers of images: https://huggingface.co/docs/datasets/en/loading#webdataset.
Besides that, once uploaded, the dataset viewer will allow researchers to quickly explore the VQA pairs and images directly in the browser.
Additionally, if you plan to release the models fine-tuned with Atomic Visual Alignment (AVA), we would love to host those on https://huggingface.co/models as well. After uploaded, we can also link the artifacts to the paper page (read here) so people can discover your work more effectively.
Let me know if you're interested or need any guidance :)
Kind regards,
Niels