irds/beir_nq

`beir/nq`数据集由`ir-datasets`包提供，包含2,681,468个文档（`docs`）、3,452个查询（`queries`）和4,201个相关性评估（`qrels`）。该数据集用于文本检索任务，用户可以通过`datasets`库加载和使用这些数据。

原始信息汇总

数据集概述

数据集名称

beir/nq

数据来源

由ir-datasets提供。

数据内容

• 文档（corpus）: 2,681,468个
• 查询（topics）: 3,452个
• 相关性评估（relevance assessments）: 4,201个

数据结构

• 文档: 包含doc_id, text, title
• 查询: 包含query_id, text
• 相关性评估: 包含query_id, doc_id, relevance, iteration

引用信息

@article{Kwiatkowski2019Nq, title = {Natural Questions: a Benchmark for Question Answering Research}, author = {Tom Kwiatkowski and Jennimaria Palomaki and Olivia Redfield and Michael Collins and Ankur Parikh and Chris Alberti and Danielle Epstein and Illia Polosukhin and Matthew Kelcey and Jacob Devlin and Kenton Lee and Kristina N. Toutanova and Llion Jones and Ming-Wei Chang and Andrew Dai and Jakob Uszkoreit and Quoc Le and Slav Petrov}, year = {2019}, journal = {TACL} } @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", }