Import a Dataset into H2O Hydrogen Torch

This lesson walks through importing the Stanford bicycle image dataset into H2O Hydrogen Torch for a metric learning task. It covers selecting the zip file, letting Hydrogen Torch download it from S3, and reviewing the Configure Dataset screen, including the problem category, problem type, and which columns hold images and labels. It shows the Sample Train Visualization view, where rows group images by category so you can confirm the data and labels line up correctly before training. It closes by moving into the View Dataset table once the import and validation steps are complete.