Exact hashes catch identical records, while similarity methods detect normalized, fuzzy, or semantic duplicates. Deduplication reduces overrepresentation and leakage but must avoid collapsing legitimately distinct examples.
Data deduplication identifies and removes repeated or near-repeated examples from a dataset.
Exact hashes catch identical records, while similarity methods detect normalized, fuzzy, or semantic duplicates. Deduplication reduces overrepresentation and leakage but must avoid collapsing legitimately distinct examples.