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Viewing Results

Overview​

After completing annotations, you can review and export the results of your human evaluation.

Viewing results​

The Results section shows:

  • Aggregated scores across all test cases
  • Individual annotations for each test case
  • Evaluator performance metrics
  • Comments and feedback provided by annotators

Comparing with other experiments​

You can compare human evaluation results with:

  • Automated evaluation runs
  • Other human evaluation sessions
  • Different variants or versions

This helps you understand how human judgment aligns with automated metrics and identify areas for improvement.

Exporting results​

Export to CSV​

Click Export results to download your evaluation data in CSV format. The exported file includes:

  • Test case inputs
  • LLM outputs
  • All annotation scores and feedback
  • Timestamp and annotator information

Saving as test set​

Click Save test set to create a new test set from annotated data. This is useful for:

  • Bootstrapping automated evaluation with human-validated examples
  • Creating regression test suites
  • Building training data for custom evaluators

Use cases for exported data​

  • Analysis: Perform statistical analysis on evaluation results
  • Reporting: Create reports for stakeholders
  • Training: Use annotations to train or fine-tune models
  • Quality Assurance: Track quality metrics over time

Next steps​