five

irds/cord19_trec-covid_round5

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Hugging Face2023-01-05 更新2024-03-04 收录
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https://hf-mirror.com/datasets/irds/cord19_trec-covid_round5
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资源简介:
--- pretty_name: '`cord19/trec-covid/round5`' viewer: false source_datasets: ['irds/cord19', 'irds/cord19_trec-covid'] task_categories: - text-retrieval --- # Dataset Card for `cord19/trec-covid/round5` The `cord19/trec-covid/round5` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package. For more information about the dataset, see the [documentation](https://ir-datasets.com/cord19#cord19/trec-covid/round5). # Data This dataset provides: - `qrels`: (relevance assessments); count=23,151 - For `docs`, use [`irds/cord19`](https://huggingface.co/datasets/irds/cord19) - For `queries`, use [`irds/cord19_trec-covid`](https://huggingface.co/datasets/irds/cord19_trec-covid) ## Usage ```python from datasets import load_dataset qrels = load_dataset('irds/cord19_trec-covid_round5', 'qrels') for record in qrels: record # {'query_id': ..., 'doc_id': ..., 'relevance': ..., 'iteration': ...} ``` Note that calling `load_dataset` will download the dataset (or provide access instructions when it's not public) and make a copy of the data in 🤗 Dataset format. ## Citation Information ``` @article{Voorhees2020TrecCovid, title={TREC-COVID: Constructing a Pandemic Information Retrieval Test Collection}, author={E. Voorhees and Tasmeer Alam and Steven Bedrick and Dina Demner-Fushman and W. Hersh and Kyle Lo and Kirk Roberts and I. Soboroff and Lucy Lu Wang}, journal={ArXiv}, year={2020}, volume={abs/2005.04474} } @article{Wang2020Cord19, title={CORD-19: The Covid-19 Open Research Dataset}, author={Lucy Lu Wang and Kyle Lo and Yoganand Chandrasekhar and Russell Reas and Jiangjiang Yang and Darrin Eide and K. Funk and Rodney Michael Kinney and Ziyang Liu and W. Merrill and P. Mooney and D. Murdick and Devvret Rishi and Jerry Sheehan and Zhihong Shen and B. Stilson and A. Wade and K. Wang and Christopher Wilhelm and Boya Xie and D. Raymond and Daniel S. Weld and Oren Etzioni and Sebastian Kohlmeier}, journal={ArXiv}, year={2020} } ```
提供机构:
irds
原始信息汇总

数据集卡片 cord19/trec-covid/round5

数据集概述

cord19/trec-covid/round5 数据集由 ir-datasets 包提供。

数据内容

该数据集包含以下内容:

  • qrels:相关性评估,数量为 23,151。

使用方法

以下是加载 qrels 的示例代码: python from datasets import load_dataset

qrels = load_dataset(irds/cord19_trec-covid_round5, qrels) for record in qrels: record # {query_id: ..., doc_id: ..., relevance: ..., iteration: ...}

引用信息

@article{Voorhees2020TrecCovid, title={TREC-COVID: Constructing a Pandemic Information Retrieval Test Collection}, author={E. Voorhees and Tasmeer Alam and Steven Bedrick and Dina Demner-Fushman and W. Hersh and Kyle Lo and Kirk Roberts and I. Soboroff and Lucy Lu Wang}, journal={ArXiv}, year={2020}, volume={abs/2005.04474} } @article{Wang2020Cord19, title={CORD-19: The Covid-19 Open Research Dataset}, author={Lucy Lu Wang and Kyle Lo and Yoganand Chandrasekhar and Russell Reas and Jiangjiang Yang and Darrin Eide and K. Funk and Rodney Michael Kinney and Ziyang Liu and W. Merrill and P. Mooney and D. Murdick and Devvret Rishi and Jerry Sheehan and Zhihong Shen and B. Stilson and A. Wade and K. Wang and Christopher Wilhelm and Boya Xie and D. Raymond and Daniel S. Weld and Oren Etzioni and Sebastian Kohlmeier}, journal={ArXiv}, year={2020} }

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