EvaluationDatasetMetricConfig

Specifies the prompt dataset.

Type: EvaluationDataset object

Required: Yes

The names of the metrics you want to use for your evaluation job.

For knowledge base evaluation jobs that evaluate retrieval only, valid values are "Builtin.ContextRelevance", "Builtin.ContextConverage".

For knowledge base evaluation jobs that evaluate retrieval with response generation, valid values are "Builtin.Correctness", "Builtin.Completeness", "Builtin.Helpfulness", "Builtin.LogicalCoherence", "Builtin.Faithfulness", "Builtin.Harmfulness", "Builtin.Stereotyping", "Builtin.Refusal".

For automated model evaluation jobs, valid values are "Builtin.Accuracy", "Builtin.Robustness", and "Builtin.Toxicity". In model evaluation jobs that use a LLM as judge you can specify "Builtin.Correctness", "Builtin.Completeness", "Builtin.Faithfulness", "Builtin.Helpfulness", "Builtin.Coherence", "Builtin.Relevance", "Builtin.FollowingInstructions", "Builtin.ProfessionalStyleAndTone", You can also specify the following responsible AI related metrics only for model evaluation job that use a LLM as judge "Builtin.Harmfulness", "Builtin.Stereotyping", and "Builtin.Refusal".

For human-based model evaluation jobs, the list of strings must match the name parameter specified in HumanEvaluationCustomMetric.

Type: Array of strings

Array Members: Minimum number of 1 item. Maximum number of 15 items.

Length Constraints: Minimum length of 1. Maximum length of 63.

Pattern: ^[0-9a-zA-Z-_.]+$

Required: Yes

The the type of task you want to evaluate for your evaluation job. This applies only to model evaluation jobs and is ignored for knowledge base evaluation jobs.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 63.

Pattern: ^[A-Za-z0-9]+$

Valid Values: Summarization | Classification | QuestionAndAnswer | Generation | Custom

Required: Yes