Datasets:

usm3d

/

hoho-train-set

like 5

Hi,

Because of the complex nature of the dataset (and possibly our unfamiliarity with HF dataset intrinsics), this way indeed doesn't work.
Instead, we recommend to use the way, provided in example notebook.

https://huggingface.co/usm3d/handcrafted_baseline_submission/blob/main/notebooks/example_on_training.ipynb

--
Best, Dmytro.

Okay, thanks for the quick response Dmytro.
Will try the other way.

Hi again!

I think the documentation is not quite clear on the steps and requirements. For example, the documentation on the example submission repo suggests that there should be a file hoho.py which does not exist and should actually be installed via the instructions at https://huggingface.co/usm3d/tools. One should also install the library webdataset.
After this, the code snippet in the example notebook to download dataset incorrectly has (possibly old) repo-id : 'usm3d/usm-training-data', which should be 'usm3d/hoho-train-set'.

Wanted to list them for anyone else having the same issues.

Ouch! It seems that we accidentally used old code there.
I will fix that today, thank you for the catch!

Btw, this is to download a single shard. Should one itereate over all filenames like 'hoho_v3_000-of-032.tar.gz' from 000 to 032 to get the whole training data?

The path is fixed and notebook updated.
To download the whole dataset you can use smth like (also in updated notebook):

# Download all the datasets:
for i in range(26):
    dataset = wds.WebDataset(hf_hub_download(repo_id='usm3d/hoho-train-set',
            filename=f'data/train/hoho_v3_{str(i).zfill(3)}-of-032.tar.gz',
            repo_type="dataset"))

For future readers please see these examples:

https://huggingface.co/usm3d/handcrafted_baseline_submission
https://huggingface.co/usm3d/empty_submission/blob/main/example_notebook.ipynb