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Table

All results are displayed in the results tab in the table. Results (Data) There are a few actions available when you select one or more runs from the table:
  • Compare: Compare the results of two selected runs. They must be from the same test suite.
  • Archive: Archive a selected run. It will no longer be displayed unless the Archived filter is selected
  • Export: Export one or more selected runs to a CSV file.

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Single Run

Clicking on a row will bring you to the single run page. Results (Single) On the left, for each test result, it shows input, output, check results, and other metrics The right contains top-level information about the run - including statistics, error analysis, and run parameters.

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Filtering

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Confidence

Confidence (Single) By default, the Vals system will compute a confidence for every test - either “High” or “Low”. If the confidence is “High”, this means our system has flagged that it is very likely we’ve graded this output correctly. If the confidence is “Low”, then it means there is greater uncertainty or ambiguity in either the grading or in the criteria. The confidence score is listed in each check next to the grade.

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Statistics

Several statistics are reported for every run. Statistics (Single)
  • Success Rate: This is the percentage of tests in which all tests passed. For example, lets say there are four tests, each with two checks each. The first two get 2/2 points, the third gets 1/2 points, and the last gets 0/2. The success rate is 50% - 2/4 tests had all their checks pass.
  • Pass Rate: This is the raw percentage of checks that passed - regardless of which test they belong to. So, if there are 8 checks across 4 tests, and 6 passed, then the pass rate is 75%.
  • Low Confidence Rate: This is the percentage of tests that the system flagged as low confidence.
Additionally, each check is by default given a certain category: e.g. “Correctness”, “Format”, “Style”, etc. The run result page will also show a pass percentage for each category (note: the categories can be overridden). Finally, if tags are assigned to each test, it will show a performance breakdown by tag.

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Comparisons

You can choose to compare two runs either through the table or when looking at a single run. This allows you to see the results of two runs side by side - this is commonly done to see the differences between two models. Results (Comparison) We automatically compute several statistics, such as the likelihood of a statistically significant difference between the two runs. Toggle Hide tests with matching auto-eval scores to show only tests that were marked differently by the auto-grader.