Explore FileDataset

Fri Apr 08 2022 22:58:52 GMT+0000 (Coordinated Universal Time)

Saved by @wessim

# download the dataset 
dataset.download(target_path='.', overwrite=False) 

# mount dataset to the temp directory at `mounted_path`

import tempfile
mounted_path = tempfile.mkdtemp()
mount_context = dataset.mount(mounted_path)

mount_context.start()

After you're done wrangling your data, you can register your dataset, and then load it into your notebook for data exploration prior to model training. For FileDatasets, you can either mount or download your dataset, and apply the Python libraries you'd normally use for data exploration.