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Data filtering and cleaning is one of the solutions for improving the quality of training data.
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9/11/2026
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UnverifiedData cleaning and feature transformation must remain strictly consistent between the training and inference stages; this principle is known as training-serving symmetry.73% similarUnverified一个经过严格清洗的小型高质量数据集的实际训练价值可能远超包含大量损坏样本的大规模数据集71% similarUnverified数据增强本质上是一种正则化技术，通过人为扩展训练分布来逼近真实数据生成分布，可以系统性地降低泛化误差70% similarUnverifiedTraining data filtering pipelines typically include language identification, deduplication (e.g., MinHash approximate deduplication), classifier-based quality scoring, and URL-blacklist-based harmful content filtering.70% similar
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