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irds/clueweb12_b13_clef-ehealth_cs

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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_clef-ehealth_cs
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资源简介:
--- pretty_name: '`clueweb12/b13/clef-ehealth/cs`' viewer: false source_datasets: ['irds/clueweb12_b13'] task_categories: - text-retrieval --- # Dataset Card for `clueweb12/b13/clef-ehealth/cs` The `clueweb12/b13/clef-ehealth/cs` 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/clef-ehealth/cs). # Data This dataset provides: - `queries` (i.e., topics); count=300 - `qrels`: (relevance assessments); count=269,232 - 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_clef-ehealth_cs', 'queries') for record in queries: record # {'query_id': ..., 'text': ...} qrels = load_dataset('irds/clueweb12_b13_clef-ehealth_cs', 'qrels') for record in qrels: record # {'query_id': ..., 'doc_id': ..., 'relevance': ..., 'trustworthiness': ..., 'understandability': ..., '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 ``` @inproceedings{Zuccon2016ClefEhealth, title={The IR Task at the CLEF eHealth Evaluation Lab 2016: User-centred Health Information Retrieval}, author={Guido Zuccon and Joao Palotti and Lorraine Goeuriot and Liadh Kelly and Mihai Lupu and Pavel Pecina and Henning M{\"u}ller and Julie Budaher and Anthony Deacon}, booktitle={CLEF}, year={2016} } @inproceedings{Palotti2017ClefEhealth, title={CLEF 2017 Task Overview: The IR Task at the eHealth Evaluation Lab - Evaluating Retrieval Methods for Consumer Health Search}, author={Joao Palotti and Guido Zuccon and Jimmy and Pavel Pecina and Mihai Lupu and Lorraine Goeuriot and Liadh Kelly and Allan Hanbury}, booktitle={CLEF}, year={2017} } ```

--- 数据集展示名:`clueweb12/b13/clef-ehealth/cs` 数据集查看器:不可用 源数据集:['irds/clueweb12_b13'] 任务类别: - 文本检索 --- # `clueweb12/b13/clef-ehealth/cs` 数据集卡片 本`clueweb12/b13/clef-ehealth/cs` 数据集由[ir-datasets](https://ir-datasets.com/)工具包提供。如需了解该数据集的更多详情,请参阅[官方文档](https://ir-datasets.com/clueweb12#clueweb12/b13/clef-ehealth/cs)。 # 数据集内容 本数据集包含: - `查询(queries)`(即主题集):共300条 - `相关性判断集(qrels)`:共269,232条 如需获取文档(docs)集,请使用 [`irds/clueweb12_b13`](https://huggingface.co/datasets/irds/clueweb12_b13) 进行加载。 ## 使用方法 python from datasets import load_dataset queries = load_dataset('irds/clueweb12_b13_clef-ehealth_cs', 'queries') for record in queries: record # {'query_id': ..., 'text': ...} qrels = load_dataset('irds/clueweb12_b13_clef-ehealth_cs', 'qrels') for record in qrels: record # {'query_id': ..., 'doc_id': ..., 'relevance': ..., 'trustworthiness': ..., 'understandability': ..., 'iteration': ...} 请注意,调用`load_dataset`函数将自动下载该数据集(若数据集未公开,则会提供获取指引),并将其转换为🤗数据集格式存储至本地。 ## 引用信息 @inproceedings{Zuccon2016ClefEhealth, title={The IR Task at the CLEF eHealth Evaluation Lab 2016: User-centred Health Information Retrieval}, author={Guido Zuccon and Joao Palotti and Lorraine Goeuriot and Liadh Kelly and Mihai Lupu and Pavel Pecina and Henning M{"u}ller and Julie Budaher and Anthony Deacon}, booktitle={CLEF}, year={2016} } @inproceedings{Palotti2017ClefEhealth, title={CLEF 2017 Task Overview: The IR Task at the eHealth Evaluation Lab - Evaluating Retrieval Methods for Consumer Health Search}, author={Joao Palotti and Guido Zuccon and Jimmy and Pavel Pecina and Mihai Lupu and Lorraine Goeuriot and Liadh Kelly and Allan Hanbury}, booktitle={CLEF}, year={2017} }
提供机构:
irds
原始信息汇总

数据集卡片 clueweb12/b13/clef-ehealth/cs

数据集概述

clueweb12/b13/clef-ehealth/cs 数据集由 ir-datasets 包提供。

数据内容

该数据集包含以下内容:

  • queries(即主题):数量为 300
  • qrels(相关性评估):数量为 269,232

对于 docs,请使用 irds/clueweb12_b13

使用方法

以下是加载和使用该数据集的示例代码:

python from datasets import load_dataset

queries = load_dataset(irds/clueweb12_b13_clef-ehealth_cs, queries) for record in queries: record # {query_id: ..., text: ...}

qrels = load_dataset(irds/clueweb12_b13_clef-ehealth_cs, qrels) for record in qrels: record # {query_id: ..., doc_id: ..., relevance: ..., trustworthiness: ..., understandability: ..., iteration: ...}

引用信息

以下是该数据集的引用信息:

@inproceedings{Zuccon2016ClefEhealth, title={The IR Task at the CLEF eHealth Evaluation Lab 2016: User-centred Health Information Retrieval}, author={Guido Zuccon and Joao Palotti and Lorraine Goeuriot and Liadh Kelly and Mihai Lupu and Pavel Pecina and Henning M{"u}ller and Julie Budaher and Anthony Deacon}, booktitle={CLEF}, year={2016} } @inproceedings{Palotti2017ClefEhealth, title={CLEF 2017 Task Overview: The IR Task at the eHealth Evaluation Lab - Evaluating Retrieval Methods for Consumer Health Search}, author={Joao Palotti and Guido Zuccon and Jimmy and Pavel Pecina and Mihai Lupu and Lorraine Goeuriot and Liadh Kelly and Allan Hanbury}, booktitle={CLEF}, year={2017} }

搜集汇总
数据集介绍
main_image_url
背景与挑战
背景概述
该数据集是CLEF eHealth评估实验室的文本检索数据集,包含300个查询和269,232个相关性评估,专门用于评估消费者健康信息检索方法。数据集文档部分需通过'irds/clueweb12_b13'获取,基于2016年和2017年CLEF会议的研究工作。
以上内容由遇见数据集搜集并总结生成
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