Release PIXAR Benchmark on Hugging Face #1
Description
Hi @jiachengcui888 🤗
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. I saw that you have already released the PIXAR model checkpoints on the Hub, which is fantastic for community visibility! You can also claim the paper as yours which will show up on your public profile at HF, and add your Github and project page URLs.
Would you also like to host the PIXAR Benchmark dataset you've released on https://huggingface.co/datasets?
I see you're currently using Google Drive for it. Hosting on Hugging Face will give you more visibility/enable better discoverability, and will also allow people to do:
from datasets import load_dataset
dataset = load_dataset("jiachengcui888/PIXAR")If you're down, leaving a guide here: https://huggingface.co/docs/datasets/loading.
For large-scale image datasets like PIXAR (420K+ pairs), we also support Webdataset, which is very efficient: https://huggingface.co/docs/datasets/en/loading#webdataset.
Besides that, there's the dataset viewer which allows people to quickly explore the images, pixel-level maps, and descriptions directly in the browser.
After uploaded, we can also link the dataset and models to the paper page (read here) so people can discover your work more easily.
Let me know if you're interested/need any guidance :)
Kind regards,
Niels
ML Engineer @ HF 🤗