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Release FireRedBench on Hugging Face #6

@NielsRogge

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@NielsRogge

Hi @FireRedTeam 🤗

I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work through Hugging Face's daily papers as yours got featured: https://huggingface.co/papers/2603.01840.
The paper page lets people discuss about your paper and lets them find artifacts about it (your model and demo for instance), you can also claim the paper as yours which will show up on your public profile at HF, and add your GitHub and project page URLs.

It's great to see that you've already hosted the FireRed-OCR-2B model and its demo on the Hub! It's a fantastic contribution to the document parsing community.

Would you also like to host the FireRedBench benchmark dataset you've introduced on https://huggingface.co/datasets?
Hosting the benchmark on Hugging Face will give it more visibility and enable better discoverability for researchers looking to evaluate their own document parsing models. It would also allow people to easily load the data using the datasets library:

from datasets import load_dataset

dataset = load_dataset("FireRedTeam/FireRedBench")

If you're interested, you can find a guide for uploading here: https://huggingface.co/docs/datasets/loading.
We also support the dataset viewer, which allows people to quickly explore the data directly in the browser.

After uploading, we can also link the dataset to your paper page (read here) so people can discover all your work in one place.

Let me know if you're interested or need any guidance!

Kind regards,

Niels

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