Hi @MasayaKawamura 🤗
I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work on Arxiv regarding PASQA and noticed you've already shared the model on the Hub at https://huggingface.co/ly-corporation/PASQA — that's awesome!
I'm reaching out to see if you'd like to also host the Japanese accent-error dataset you introduced on https://huggingface.co/datasets. Hosting the dataset on Hugging Face will provide better visibility and discoverability for the research community. It also enables the dataset viewer, allowing people to quickly explore the audio samples and metadata in their browser, and makes it very easy for others to use your data via the datasets library:
from datasets import load_dataset
dataset = load_dataset("ly-corporation/japanese-accent-error")
Additionally, the paper page for your work can be found here: https://huggingface.co/papers/2606.20137. You can claim the paper as yours to have it show up on your public profile, and you can link the model (and dataset) directly to it (read here) so people can discover your artifacts directly from the paper.
If you're interested, you can find a guide on uploading datasets here: https://huggingface.co/docs/datasets/loading.
Let me know if you need any guidance or help with the process!
Kind regards,
Niels
ML Engineer @ HF 🤗
Hi @MasayaKawamura 🤗
I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work on Arxiv regarding PASQA and noticed you've already shared the model on the Hub at https://huggingface.co/ly-corporation/PASQA — that's awesome!
I'm reaching out to see if you'd like to also host the Japanese accent-error dataset you introduced on https://huggingface.co/datasets. Hosting the dataset on Hugging Face will provide better visibility and discoverability for the research community. It also enables the dataset viewer, allowing people to quickly explore the audio samples and metadata in their browser, and makes it very easy for others to use your data via the
datasetslibrary:Additionally, the paper page for your work can be found here: https://huggingface.co/papers/2606.20137. You can claim the paper as yours to have it show up on your public profile, and you can link the model (and dataset) directly to it (read here) so people can discover your artifacts directly from the paper.
If you're interested, you can find a guide on uploading datasets here: https://huggingface.co/docs/datasets/loading.
Let me know if you need any guidance or help with the process!
Kind regards,
Niels
ML Engineer @ HF 🤗