Emilia-YODAS

#12
by mrfakename - opened

Hi,
Congratulations on the release of Emilia-YODAS—it looks awesome!
I had two questions:

  1. I noticed that the gated repo prompt still requires the user to agree to only use it for NC, but if I understand correctly the YODAS subset should be commercially viable?
  2. Would it be possible to upload the YODAS subset into a separate HF repo to make it easier to load?

Thanks!

Amphion org

@mrfakename

Hi, thanks for the reminder! I have just updated the gated repo prompt; you are free to use the Yodas subset under cc-by.

For the second inquiry, since the Emilia-Yodas and the original Emilia datasets are similar in nature, we have decided to maintain a single repository. If higher-quality or more finely annotated data becomes available in the future, we will consider creating a new repo.

Please note that Emilia-Yodas can also be loaded separately within this repo. For example:

from datasets import load_dataset

path = "Emilia-YODAS/DE/*.tar"
dataset = load_dataset("amphion/Emilia-Dataset", data_files={"de": path}, split="de", streaming=True)
print(dataset)  # This should only show 90 n_shards
print(next(iter(dataset['train'])))
Amphion org

Thanks for your questions, the README page has updated accordingly about how to load Emilia-YODAS only.

A detailed usage guide (install required packages/load partial data) can be found on the README page.

The code you might want to download Emilia-YODAS only:

from datasets import load_dataset

path = "Emilia-YODAS/**/*.tar" # Same for Emilia; just replace "Emilia-YODAS/" with "Emilia/"
dataset = load_dataset("amphion/Emilia-Dataset", data_files={"train": path}, split="train", streaming=True)
print(dataset) # here should only shows 1983 n_shards
print(next(iter(dataset)))

image.png

Thank you for the additional information! Super excited to try out the dataset!

mrfakename changed discussion status to closed
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