Hi @Kartik-3004 🤗
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 datasets for instance), you can also claim the paper as yours which will show up on your public profile at HF, and add Github and project page URLs.
I noticed you've previously released the FaceXFormer model on the Hub, which is great! Would you also like to host the new datasets you've introduced in this work (FaceXBench and FaceXAPI) on https://huggingface.co/datasets?
Hosting your benchmark on Hugging Face will give it significantly more visibility and enable better discoverability within the multimodal LLM community. It would also allow researchers to load your data easily via the datasets library:
from datasets import load_dataset
dataset = load_dataset("your-hf-org-or-username/FaceXBench")If you're down, leaving a guide here: https://huggingface.co/docs/datasets/loading. We also support Webdataset, which is very useful for image-based datasets. Besides that, there's the dataset viewer which allows people to quickly explore the benchmark samples in the browser.
After uploaded, we can also link the datasets to the paper page (read here) so people can discover your work more easily.
Let me know if you're interested or need any guidance!
Best regards,
Niels
Hi @Kartik-3004 🤗
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 datasets for instance), you can also claim the paper as yours which will show up on your public profile at HF, and add Github and project page URLs.
I noticed you've previously released the FaceXFormer model on the Hub, which is great! Would you also like to host the new datasets you've introduced in this work (FaceXBench and FaceXAPI) on https://huggingface.co/datasets?
Hosting your benchmark on Hugging Face will give it significantly more visibility and enable better discoverability within the multimodal LLM community. It would also allow researchers to load your data easily via the
datasetslibrary:If you're down, leaving a guide here: https://huggingface.co/docs/datasets/loading. We also support Webdataset, which is very useful for image-based datasets. Besides that, there's the dataset viewer which allows people to quickly explore the benchmark samples in the browser.
After uploaded, we can also link the datasets to the paper page (read here) so people can discover your work more easily.
Let me know if you're interested or need any guidance!
Best regards,
Niels