With dataset splits, it's easier to run evaluations on a subset of your data in LangSmith. You can tag examples with different split names, edit and add to splits, and filter on desired criteria.

Splits are useful when you have a dataset with multiple categories to evaluate separately. This allows you to test new use cases by adding examples to a separate split to test, while preserving your evaluation workflow.

In addition to splits, you can speed up finding relevant information with the following actions for your dataset examples:

• Clone examples to another dataset

• Edit metadata directly in the UI

• Search for specific examples

Walk through an example of how to use dataset splits in this video.