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Data Quality
Data / Training / Evaluation
Accuracy, completeness, and relevance of data.
Data quality describes how reliable and representative training data are. High-quality data are accurate, consistent, complete, and unbiased.
- Dimensions: Accuracy, consistency, timeliness, fairness.
- Impact: Poor data lead to unreliable or biased models.