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irds/clueweb12_b13_trec-misinfo-2019

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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/clueweb12_b13_trec-misinfo-2019
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资源简介:
--- pretty_name: '`clueweb12/b13/trec-misinfo-2019`' viewer: false source_datasets: ['irds/clueweb12_b13'] task_categories: - text-retrieval --- # Dataset Card for `clueweb12/b13/trec-misinfo-2019` The `clueweb12/b13/trec-misinfo-2019` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package. For more information about the dataset, see the [documentation](https://ir-datasets.com/clueweb12#clueweb12/b13/trec-misinfo-2019). # Data This dataset provides: - `queries` (i.e., topics); count=51 - `qrels`: (relevance assessments); count=22,859 - For `docs`, use [`irds/clueweb12_b13`](https://huggingface.co/datasets/irds/clueweb12_b13) ## Usage ```python from datasets import load_dataset queries = load_dataset('irds/clueweb12_b13_trec-misinfo-2019', 'queries') for record in queries: record # {'query_id': ..., 'title': ..., 'cochranedoi': ..., 'description': ..., 'narrative': ...} qrels = load_dataset('irds/clueweb12_b13_trec-misinfo-2019', 'qrels') for record in qrels: record # {'query_id': ..., 'doc_id': ..., 'relevance': ..., 'effectiveness': ..., 'redibility': ...} ``` 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 ``` @inproceedings{Abualsaud2019TrecDecision, title={Overview of the TREC 2019 Decision Track}, author={Mustafa Abualsaud and Christina Lioma and Maria Maistro and Mark D. Smucker and Guido Zuccon}, booktitle={TREC}, year={2019} } ```
提供机构:
irds
原始信息汇总

数据集概述

数据集名称

clueweb12/b13/trec-misinfo-2019

数据来源

  • 主数据集:irds/clueweb12_b13

数据内容

  • queries(查询):51个
  • qrels(相关性评估):22,859个

数据使用

  • 通过load_dataset函数加载数据集,可以访问queriesqrels

引用信息

@inproceedings{Abualsaud2019TrecDecision, title={Overview of the TREC 2019 Decision Track}, author={Mustafa Abualsaud and Christina Lioma and Maria Maistro and Mark D. Smucker and Guido Zuccon}, booktitle={TREC}, year={2019} }

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