`Workflow`: Missing guidance for splitting datasets

In many practical machine learning workflows, splitting a dataset into subsets is a common operation.

For example, in the data-centric ai competition 2 different splits (train, validation) are expected to be submitted.
Different strategies for generating those splits might be tried and I would expect LDB to support these iterations.

I didn't find any guidance on how to perform these splitting iterations as part of the LDB workflow. Does the recommended workflow depend on https://github.com/iterative/ldb/issues/88 ?