Skip to main content
The eval dataset command group manages evaluation sets: list, show, create, update, and delete datasets, add or remove cases, and manage TEA dataset versions. A dataset is the data source for an experiment; its fields, such as input and reference_output, are mapped to the evaluation target and 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. --project applies only to the Coze evaluation backend; the TEA backend ignores it.

dataset list

List evaluation datasets.

dataset show

Show details of an evaluation dataset, including schema, version information, and case items.

dataset create

Create an evaluation dataset. The schema is fixed once created, and a case’s keys must match it.
output is usually produced by the evaluated target Runtime during the experiment, so it does not need to be part of the dataset schema. A dataset typically only needs input and reference_output.

dataset update

Update the name or description of a TEA evaluation dataset.
dataset update is supported only on the TEA evaluation backend.

dataset add

Add one or more cases to an evaluation dataset. The Coze backend accepts flat {field: value} objects; the TEA backend accepts full turn-shaped items, and can also build a single-turn text item from --field.
items.json

dataset remove

Remove one or more cases from an evaluation dataset.
This command removes the selected cases from the dataset. Check the dataset and case IDs first; the CLI prompts for confirmation unless you pass --yes.

dataset delete

Delete an evaluation dataset.
This command deletes the entire dataset. Check the target first; the CLI prompts for confirmation unless you pass --yes.

dataset version list

List TEA dataset versions.
dataset version subcommands are supported only on the TEA evaluation backend.

dataset version create

Create a committed version for a TEA evaluation dataset.
Last modified on September 19, 2026