Release SetupX datasets on Hugging Face
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Valutazione
- Difficoltà
- 3/5
- Tempo stimato
- 1-2 giorni
- Idoneità per principianti
- 45/100
Direzione di ricerca
Start by reviewing the GitHub-hosted XPU Warm Store and curated benchmark data, then read the Hugging Face datasets loading and dataset viewer guides linked in the issue. Done means both datasets are uploaded to Hugging Face, can be loaded with the datasets library, and are linked to the paper page.
Scritto dal modello di indicizzazione a partire dal testo della issue.
Descrizione
Hi @Zi-hang-Zhou 🤗
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, add Github and project page URLs.
Would you like to host the datasets you've released (the XPU Warm Store and your curated benchmarks) on https://huggingface.co/datasets?
I see you're currently hosting the data files 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/SetupX-XPU")
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 experience units directly 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
- Lingua principale
- Python
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