Can data cleaning remove all false information?
No. Many false statements look structurally identical to accurate ones. Cleaning improves dataset properties but does not provide comprehensive fact-checking of every retained passage.
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More FAQs in Why must raw internet data be cleaned before training an AI model?
No. Deduplication can reduce repeated exposure, but a model may still memorize some unique or sensitive passages. Other data and evaluation controls remain relevant.
Rejected samples can reveal unintended losses, such as valid code, minority-language text, or informal conversation. Reviewing them helps detect filters that narrow useful coverage.
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