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Release FLEURS-VAD-102 dataset on Hugging Face #37

@NielsRogge

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@NielsRogge

Hi @kaituoxu 🤗

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 models and datasets 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's fantastic to see that you've already hosted the FireRedASR2S model suite on the Hugging Face hub! I noticed in your README that you plan to open-source the FLEURS-VAD-102 manually annotated testset soon.

Would you like to host that dataset on https://huggingface.co/datasets as well? Hosting it on Hugging Face will give it more visibility and will also allow people to easily load it via the datasets library:

from datasets import load_dataset

dataset = load_dataset("FireRedTeam/FLEURS-VAD-102")

Besides that, there's the dataset viewer which allows people to quickly explore the audio and annotations directly in the browser. After uploaded, we can also link the dataset to the paper page so people can discover your work more easily.

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

Kind regards,

Niels
ML Engineer @ HF 🤗

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