Datasets:
Tasks:
Text Retrieval
Modalities:
Text
Formats:
json
Sub-tasks:
document-retrieval
Languages:
English
Size:
10M - 100M
ArXiv:
Tags:
text-retrieval
Update README.md
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README.md
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<h1 align="center">CoRE: Controlled Retrieval Evaluation Dataset</h1>
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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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<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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