eval dataset command group manages evaluation sets: list, show, create, and delete datasets, and add or remove cases within a dataset. A dataset is the data source for an experiment; its fields (such as input and reference_output) are mapped to the target and the evaluator during eval run.
These subcommands are also available as top-level aliases, so the
eval prefix may be omitted: agentkit eval dataset list is equivalent to agentkit dataset list. The examples below use the shorter agentkit dataset ... form. All subcommands share -p, --project <name> (project name, default default) and -r, --region <region> (Volcengine region; default auto-detect, or from env for create). Most also accept --json (output raw JSON); dataset delete does not.