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Human annotation allows for manual review and evaluation of AI outputs by human reviewers.

Creating a Human Evaluator

  1. Navigate to the Evaluators tab in the HoneyHive console.
  2. Click Add Evaluator and select Human Evaluator.
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Evaluation Criteria

Define clear evaluation criteria for annotators in the Description field:

Configuration

Return Type

Options:
  1. Numeric: For ratings on a scale
  2. Binary: For yes/no evaluations
  3. Notes: For free-form text feedback
  4. Categorical: For categorization tasks

Rating Scale

For numeric return type and, in some cases, categorical return type (i.e where numerical labels are defined), specify the scale (e.g., 1-5).

Passing Range

Define the range of scores considered acceptable.

In-App Annotation

Once created, human evaluators are available throughout the UI - in traces, Review Mode or Annotation Queues. You can invite domain experts to annotate traces in any project.
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