Data labeling software may be able to support fixing dataset errors, depending on the specific software and its capabilities.
Suppose the errors impacting your dataset involve incorrect or inconsistent labeling. In that case, data labeling software may be able to support fixing those errors by providing tools for quality control and error detection.
Kili Technology helps you monitor your data-labeling quality with various metrics and capabilities, such as review queue automation, consensus, or honeypot, as well as custom-coded quality workflows.