Hello,
I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work on Arxiv ("They Are Not the Same: Direct Causes Are Not Grounded Emotion Explanations") 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, add Github and project page URLs.
Would you like to host the IEMO-MECP dataset you've released on https://huggingface.co/datasets?
I see you're currently hosting the label overlays on GitHub. 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("your-hf-org-or-username/IEMO-MECP")
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 label schema and split distributions in the browser.
After uploaded, 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/need any guidance.
Kind regards,
Niels
Hello,
I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work on Arxiv ("They Are Not the Same: Direct Causes Are Not Grounded Emotion Explanations") 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, add Github and project page URLs.
Would you like to host the IEMO-MECP dataset you've released on https://huggingface.co/datasets?
I see you're currently hosting the label overlays on GitHub. Hosting on Hugging Face will give you more visibility/enable better discoverability, and will also allow people to do:
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 label schema and split distributions in the browser.
After uploaded, 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/need any guidance.
Kind regards,
Niels