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@@ -118,15 +118,15 @@ configs:
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  <h1 align="center">CoRE: Controlled Retrieval Evaluation Dataset</h1>
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  <h4 align="center">
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  <p>
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- <a href=#motivation>Motivation</a> |
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- <a href=#dataset_overview>Dataset Overview</a> |
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- <a href=#dataset_construction>Dataset Construction</a> |
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- <a href="#dataset_structure">Dataset Structure</a> |
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- <a href="#qrels_format">Qrels Format</a> |
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- <a href="#evaluation">Evaluation</a> |
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- <a href="#citation">Citation</a> |
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- <a href="#links">Links</a> |
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- <a href="#contact">Contact</a>
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  <p>
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  </h4>
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@@ -170,7 +170,7 @@ Steps for both passage and document retrieval:
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  * Mine 100 distractors from RRF-fused rankings of top TREC 2023 DL submissions
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  3. Construct multiple corpus scales by aggregating relevant documents and distractors with randomly sampled filler documents
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- ## 🧱 Dataset Structure (Hugging Face Format)
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  The dataset consists of three subsets: `queries`, `qrels`, and `corpus`.
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  <h1 align="center">CoRE: Controlled Retrieval Evaluation Dataset</h1>
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  <h4 align="center">
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  <p>
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+ <a href=#🔍-motivation>Motivation</a> |
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+ <a href=#📦-dataset-overview>Dataset Overview</a> |
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+ <a href=#🏗-dataset-construction>Dataset Construction</a> |
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+ <a href="#🧱-dataset-structure">Dataset Structure</a> |
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+ <a href="#🏷-qrels-format">Qrels Format</a> |
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+ <a href="#📊-evaluation">Evaluation</a> |
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+ <a href="#📜-citation">Citation</a> |
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+ <a href="#🔗-links">Links</a> |
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+ <a href="#📬-contact">Contact</a>
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  <p>
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  </h4>
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  * Mine 100 distractors from RRF-fused rankings of top TREC 2023 DL submissions
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  3. Construct multiple corpus scales by aggregating relevant documents and distractors with randomly sampled filler documents
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+ ## 🧱 Dataset Structure
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  The dataset consists of three subsets: `queries`, `qrels`, and `corpus`.
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