A dataset holds the inputs for an offline evaluation, where each row is one case that AgentControl runs your config against and scores. You can now edit those rows in place instead of uploading a replacement file every time one of them needs to change.

Open a dataset from the AgentControl Library page and you get a Rows tab. Add a row by hand or append a file, edit a row's input, expected output, variables and metadata, search by input or expected output, drag rows into a different order, and delete the ones you no longer want. You can also create an empty dataset and add rows to it, rather than needing a finished CSV or JSONL file first. Changes stage until you click Save, so a whole editing session commits at once.

Each save creates a new dataset version that records who made the change, when, and the resulting row count, and you can open any earlier version or restore it. Evaluation runs pin to the version that existed when the run started, so editing a dataset never changes the results of a run you have already completed.

To get started, read Datasets.

To get help or share feedback, contact your LaunchDarkly account team or email product@launchdarkly.com.