Hi @theranjitraut 🤗
I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work on Arxiv (https://arxiv.org/abs/2609.00018) 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://arxiv.org/abs/2609.00018
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.
Would you like to host the SCAFFOLD dataset on https://huggingface.co/datasets?
I see you have made it available in the GitHub repository. Hosting it on Hugging Face will give it more visibility and enable better discoverability, and will also allow people to do:
from datasets import load_dataset
dataset = load_dataset("your-hf-org-or-username/scaffold")If you're interested, here is a guide: https://huggingface.co/docs/datasets/loading.
We also support WebDataset for large image datasets: https://huggingface.co/docs/datasets/en/loading#webdataset.
Besides that, the dataset viewer allows people to quickly explore the first few rows of the data in the browser.
After uploading, we can also link the dataset to the paper page (read here) so people can discover your work.
Let me know if you're interested or need any guidance.
Kind regards,
Niels
Hi @theranjitraut 🤗
I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work on Arxiv (https://arxiv.org/abs/2609.00018) 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://arxiv.org/abs/2609.00018
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.
Would you like to host the SCAFFOLD dataset on https://huggingface.co/datasets?
I see you have made it available in the GitHub repository. Hosting it on Hugging Face will give it more visibility and enable better discoverability, and will also allow people to do:
If you're interested, here is a guide: https://huggingface.co/docs/datasets/loading.
We also support WebDataset for large image datasets: https://huggingface.co/docs/datasets/en/loading#webdataset.
Besides that, the dataset viewer allows people to quickly explore the first few rows of the data in the browser.
After uploading, we can also link the dataset to the paper page (read here) so people can discover your work.
Let me know if you're interested or need any guidance.
Kind regards,
Niels