irds/beir_dbpedia-entity_test

`beir/dbpedia-entity/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400个查询（即主题）和43,515个相关性评估（qrels）。文档部分需要从`irds/beir_dbpedia-entity`数据集中获取。

原始信息汇总

数据集概述

数据集名称

beir/dbpedia-entity/test

数据来源

• 源数据集：irds/beir_dbpedia-entity

任务类别

• 文本检索

数据内容

• queries（查询/主题）：数量=400
• qrels（相关性评估）：数量=43,515
• docs：使用irds/beir_dbpedia-entity数据集

使用示例

python from datasets import load_dataset

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

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

引用信息

@article{Hasibi2017DBpediaEntityVA, title={DBpedia-Entity v2: A Test Collection for Entity Search}, author={Faegheh Hasibi and Fedor Nikolaev and Chenyan Xiong and K. Balog and S. E. Bratsberg and Alexander Kotov and J. Callan}, journal={Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval}, year={2017} } @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", }