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Card: documents cut to 1,024 reranker tokens when scored

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  1. README.md +2 -1
README.md CHANGED
@@ -87,7 +87,8 @@ query set(s) below; queries without a labelled positive are left out.
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  (those are kept for every query of the split, sampled or not).
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  - **Teacher**: `jinaai/jina-reranker-v3.5`, listwise: a query's positive and all of its candidates are scored together in one
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  context of up to 32,768 tokens. `score` is the raw cosine score, one row per (query, positive) and per
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- (query, candidate); a labelled negative that was also mined is scored once. No filtering is applied to the tables.
 
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  | configs | queries | hard negatives | teacher scores |
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  |---|---:|---:|---:|
 
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  (those are kept for every query of the split, sampled or not).
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  - **Teacher**: `jinaai/jina-reranker-v3.5`, listwise: a query's positive and all of its candidates are scored together in one
89
  context of up to 32,768 tokens. `score` is the raw cosine score, one row per (query, positive) and per
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+ (query, candidate); a labelled negative that was also mined is scored once. Every document was cut to its first
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+ 1,024 reranker tokens before scoring (`max_doc_tokens=1024`). No filtering is applied to the tables.
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  | configs | queries | hard negatives | teacher scores |
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  |---|---:|---:|---:|