Artificial Intelligence (AI) · Intermediate level

Intermediate level · Module 5: Evaluating AI Outputs · Lesson 1 of 3

Evaluation Sets and Rubrics

Create representative test questions and clear rubrics for judging answers.

In this lesson you will

  • Build a representative evaluation set
  • Write a scoring rubric

Key concepts

evaluation setcoverage of question typesrubricexpected answers

The lesson

An evaluation set should reflect real use: common questions, rare but important ones, out-of-scope questions, ambiguous phrasing and questions in the languages users will use.

A rubric defines what a good answer is: correct, complete, grounded with a citation, safe and clear. Score each criterion separately rather than giving one vague mark.

Keep the evaluation set fixed while comparing versions, and add new cases when real users reveal new problems.

Step by step

  1. Collect 40 questions covering all types.
  2. Write expected answers or criteria.
  3. Write a rubric with four criteria.
  4. Score five answers with the rubric.

Practice activity

Prepare the evaluation set and rubric for the FAQ assistant.

Expected result: A representative 40-question set with a clear rubric.

Check your understanding

  1. Why score rubric criteria separately?

    Show answer

    It shows exactly where answers fail.

  2. When should new cases be added to an evaluation set?

    Show answer

    When real use reveals new problems.

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