Best examples of ML projects with good dataset/task code abstractions? [D]

The author is seeking examples of ML projects with strong code abstractions for datasets, tasks, and experiments. The focus is on clean, type-safe data structures, potentially using tools like Dataclasses or Pydantic, to manage dataset information, ML task schemas, and experiment composition.