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irds/argsme_2020-04-01_touche-2020-task-1_uncorrected

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Hugging Face2023-01-05 更新2024-03-04 收录
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资源简介:
`argsme/2020-04-01/touche-2020-task-1/uncorrected`数据集由ir-datasets包提供,主要用于文本检索任务。该数据集包含`qrels`(相关性评估)和`queries`(查询),其中`qrels`的数量为2,298。数据集的使用示例和引用信息也在README中提供。

The `argsme/2020-04-01/touche-2020-task-1/uncorrected` dataset is provided by the ir-datasets package, and is primarily intended for text retrieval tasks. This dataset contains `qrels` (relevance assessments) and `queries`, with the number of `qrels` entries reaching 2,298. Usage examples and citation information for the dataset are also provided in the README file.
提供机构:
irds
原始信息汇总

数据集概述

数据集名称

  • argsme/2020-04-01/touche-2020-task-1/uncorrected

数据来源

  • 源数据集:irds/argsme_2020-04-01_touche-2020-task-1

数据内容

  • qrels:相关性评估数据,数量为2,298条。

数据使用

  • 使用datasets库加载数据集: python from datasets import load_dataset

    qrels = load_dataset(irds/argsme_2020-04-01_touche-2020-task-1_uncorrected, qrels) for record in qrels: record # {query_id: ..., doc_id: ..., relevance: ..., iteration: ...}

任务类别

  • 文本检索

引用信息

@inproceedings{Bondarenko2020Touche, address = {Berlin Heidelberg New York}, author = {Alexander Bondarenko and Maik Fr{"o}be and Meriem Beloucif and Lukas Gienapp and Yamen Ajjour and Alexander Panchenko and Chris Biemann and Benno Stein and Henning Wachsmuth and Martin Potthast and Matthias Hagen}, booktitle = {Experimental IR Meets Multilinguality, Multimodality, and Interaction. 11th International Conference of the CLEF Association (CLEF 2020)}, doi = {10.1007/978-3-030-58219-7_26}, editor = {Avi Arampatzis and Evangelos Kanoulas and Theodora Tsikrika and Stefanos Vrochidis and Hideo Joho and Christina Lioma and Carsten Eickhoff and Aur{e}lie N{e}v{e}ol and Linda Cappellato and Nicola Ferro}, month = sep, pages = {384-395}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, site = {Thessaloniki, Greece}, title = {{Overview of Touch{e} 2020: Argument Retrieval}}, url = {https://link.springer.com/chapter/10.1007/978-3-030-58219-7_26}, volume = 12260, year = 2020, }

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