Conceptmanual data curation / 人工数据策划
Manual Data Curation
The process in which domain experts inspect, annotate, remove, or correct training data item by item. It is a traditional means of ensuring data quality, but it is extremely costly and difficult to apply to continuously generated new data.
Timeline (last 90 days)
Oct 15
Manual data curation involves domain experts checking, annotating, removing, or correcting training data one by one, and it is regarded in industry as the most reliable means of ensuring data quality, but its cost is extremely high: a senior process engineer may need several weeks to complete manual cleaning of a small dataset, and it is difficult to cover continuously generated new data.
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