Release Impermanent benchmark on Hugging Face #1
Description
Hi @AzulGarza 🤗
I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work on Arxiv regarding the Impermanent benchmark 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 datasets/benchmark you've released on https://huggingface.co/datasets? Hosting on Hugging Face will give the project more visibility and enable better discoverability within the time-series community. It will also allow people to easily load the data via:
from datasets import load_dataset
dataset = load_dataset("TimeCopilot/impermanent")If you're down, 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 GitHub activity streams 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 or need any guidance!
Kind regards,
Niels