Rank with document frequencies and token lengths

Repeated terms are counted as multiple documents and character counts distort BM25 length normalization. Compute one document-frequency contribution per distinct term per document and normalize by token count.

Work with the stack you want to practice. Your workspace and timer start after you choose.