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docs: improving parity with previous dl versions
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ir_datasets/docs/msmarco-document-v2.yaml

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@@ -134,10 +134,6 @@ Official topics for the TREC Deep Learning (DL) 2023 shared task.
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Note that these qrels are <i>inferred</i> from the passage ranking task; a document''s relevance
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label is the maximum of the labels of its passages.
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</p>
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<p>
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These qrels use the official <code>withDupes</code> variant from NIST and include graded
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relevance labels from 0 to 3.
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</p>
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ir_datasets/docs/msmarco-passage-v2.yaml

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@@ -110,10 +110,6 @@ duplicate passages, while results presented in the notebook papers remove duplic
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This means that the results are not directly comparable, and extra care should be taken when
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making comparisons among systems to ensure that they were evaluated in the same settings.
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</p>
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<p>
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These qrels use the official <code>withDupes</code> variant from NIST and include graded
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relevance labels from 0 to 3.
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</p>
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'
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