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Release artifacts (model, dataset) on Hugging Face #1

@NielsRogge

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@NielsRogge

Hi @AlgazinovAleksandr 🤗

Niels here from 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 models, datasets or demo 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.

It'd be great to make the checkpoints and dataset available on the 🤗 hub, to improve their discoverability/visibility.
We can add tags so that people find them when filtering https://huggingface.co/models and https://huggingface.co/datasets.

Uploading models

I see your TrueGL model is already on the Hugging Face Hub at https://huggingface.co/JoydeepC/trueGL. That's fantastic! We can help link this checkpoint to your paper page (read here) so people can discover your model directly from the paper.

Uploading dataset

Your paper mentions a "custom dataset of 140,272 articles across 21 domains, annotated with 35 distinct continuous reliability scores", which we've named "TrueGL Reliability Dataset". Would be awesome to make this dataset available on 🤗 , so that people can do:

from datasets import load_dataset

dataset = load_dataset("your-hf-org-or-username/your-dataset")

See here for a guide: 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.

Let me know if you're interested/need any help regarding this!

Cheers,

Niels
ML Engineer @ HF 🤗

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