Hi @lartpang 🤗
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, and add Github and project page URLs.
Would you like to host the LaMoFCBench datasets you've released on https://huggingface.co/datasets?
I see you're currently using ModelScope for it. Hosting on Hugging Face will give your work more visibility and enable better discoverability within the global AI community. It will also allow researchers to easily load your feature datasets using:
from datasets import load_dataset
dataset = load_dataset("your-hf-org-or-username/LaMoFCBench")If you're down, I'm leaving a guide here: https://huggingface.co/docs/datasets/loading. Besides that, there's the dataset viewer which allows people to quickly explore the first few rows of the data in the browser.
After uploaded, we can also link the datasets to the paper page (read here) so people can discover your work.
Let me know if you're interested/need any guidance.
Kind regards,
Niels
Hi @lartpang 🤗
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, and add Github and project page URLs.
Would you like to host the LaMoFCBench datasets you've released on https://huggingface.co/datasets?
I see you're currently using ModelScope for it. Hosting on Hugging Face will give your work more visibility and enable better discoverability within the global AI community. It will also allow researchers to easily load your feature datasets using:
If you're down, I'm leaving a guide here: https://huggingface.co/docs/datasets/loading. Besides that, there's the dataset viewer which allows people to quickly explore the first few rows of the data in the browser.
After uploaded, we can also link the datasets to the paper page (read here) so people can discover your work.
Let me know if you're interested/need any guidance.
Kind regards,
Niels