To assess label quality, it is enough to inspect only the examples your model got wrong.
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Bias from Correcting Only the Mistakes
Which examples should be reviewed to improve dev-set label quality?
A single development example can have both an incorrect target label and an incorrect model prediction.
Review Both Error Cases and Correct Cases
Match each label-audit situation to the correct description.
Order the steps for a dev-set label audit.
Why can a dev example appear to be labeled correctly even when the label is wrong?
To assess label quality, it is enough to inspect only the examples your model got wrong.
Reviewing Labels on Development Examples
Match each label-review category to its role in checking data quality.
Why Correct Predictions Still Need Label Review
Why checking only mistakes can miss label problems
Why Reviewing Only the Flagged Errors Can Miss Label Problems
Why Recheck Apparently Correct Labels