irds/beir_hotpotqa_dev

`beir/hotpotqa/dev`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5,447个查询（即主题）和10,894个相关性评估（qrels）。文档部分需要使用`irds/beir_hotpotqa`数据集。该数据集的使用示例展示了如何通过Python代码加载查询和相关性评估数据。

原始信息汇总

数据集卡片 for beir/hotpotqa/dev

数据集概述

beir/hotpotqa/dev 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 5,447
• qrels（相关性评估）：数量为 10,894

对于 docs，请使用 irds/beir_hotpotqa。

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

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

引用信息

@inproceedings{Yang2018Hotpotqa, title = "{H}otpot{QA}: A Dataset for Diverse, Explainable Multi-hop Question Answering", author = "Yang, Zhilin and Qi, Peng and Zhang, Saizheng and Bengio, Yoshua and Cohen, William and Salakhutdinov, Ruslan and Manning, Christopher D.", booktitle = "Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing", month = oct # "-" # nov, year = "2018", address = "Brussels, Belgium", publisher = "Association for Computational Linguistics", url = "https://www.aclweb.org/anthology/D18-1259", doi = "10.18653/v1/D18-1259", pages = "2369--2380" } @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", }