irds/beir_msmarco_test

`beir/msmarco/test`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43个查询（`queries`）和9,260个相关性评估（`qrels`）。文档部分（`docs`）需要从`irds/beir_msmarco`数据集中获取。数据集的使用方法包括通过`load_dataset`函数加载查询和相关性评估数据。

原始信息汇总

数据集卡片 beir/msmarco/test

数据集概述

beir/msmarco/test 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 43
• qrels（相关性评估）；数量为 9,260

对于 docs，请使用 irds/beir_msmarco。

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/beir_msmarco_test, queries) for record in queries: record # {query_id: ..., text: ...}

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

引用信息

以下是该数据集的引用信息：

@inproceedings{Craswell2019TrecDl, title={Overview of the TREC 2019 deep learning track}, author={Nick Craswell and Bhaskar Mitra and Emine Yilmaz and Daniel Campos and Ellen Voorhees}, booktitle={TREC 2019}, year={2019} } @inproceedings{Bajaj2016Msmarco, title={MS MARCO: A Human Generated MAchine Reading COmprehension Dataset}, author={Payal Bajaj, Daniel Campos, Nick Craswell, Li Deng, Jianfeng Gao, Xiaodong Liu, Rangan Majumder, Andrew McNamara, Bhaskar Mitra, Tri Nguyen, Mir Rosenberg, Xia Song, Alina Stoica, Saurabh Tiwary, Tong Wang}, booktitle={InCoCo@NIPS}, year={2016} } @article{Thakur2021Beir, title = "BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models", author = "Thakur, Nandan and Reimers, Nils and Rücklé, Andreas and Srivastava, Abhishek and Gurevych, Iryna", journal= "arXiv preprint arXiv:2104.08663", month = "4", year = "2021", url = "https://arxiv.org/abs/2104.08663", }