irds/disks45_nocr_trec-robust-2004_fold5

`disks45/nocr/trec-robust-2004/fold5`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50个查询（即主题）和63,841个相关性评估（qrels）。文档部分需要从`irds/disks45_nocr`数据集中获取。该数据集的使用方法包括通过`datasets`库加载查询和相关性评估数据。引用信息部分列出了与该数据集相关的三篇文献。

The `disks45/nocr/trec-robust-2004/fold5` dataset is provided by the `ir-datasets` package, and is primarily designed for text retrieval tasks. It consists of 50 queries (also referred to as topics) and 63,841 relevance judgments (qrels). The document corpus for this dataset must be obtained from the `irds/disks45_nocr` dataset. Usage of this dataset entails loading the query and relevance judgment data via the `datasets` library. The citation information section lists three references relevant to this dataset.

原始信息汇总

数据集概述

数据集名称

disks45/nocr/trec-robust-2004/fold5

数据集来源

• 来源：ir-datasets
• 原始数据集：irds/disks45_nocr

数据内容

• queries: 查询（主题），数量为50
• qrels: 相关性评估，数量为63,841
• docs: 使用irds/disks45_nocr数据集

使用方法

python from datasets import load_dataset

queries = load_dataset(irds/disks45_nocr_trec-robust-2004_fold5, queries) for record in queries: record # {query_id: ..., text: ...}

qrels = load_dataset(irds/disks45_nocr_trec-robust-2004_fold5, qrels) for record in qrels: record # {query_id: ..., doc_id: ..., relevance: ...}

引用信息

@misc{Voorhees1996Disks45, title = {NIST TREC Disks 4 and 5: Retrieval Test Collections Document Set}, author = {Ellen M. Voorhees}, doi = {10.18434/t47g6m}, year = {1996}, publisher = {National Institute of Standards and Technology} } @inproceedings{Voorhees2004Robust, title={Overview of the TREC 2004 Robust Retrieval Track}, author={Ellen Voorhees}, booktitle={TREC}, year={2004} } @inproceedings{Huston2014ACO, title={A Comparison of Retrieval Models using Term Dependencies}, author={Samuel Huston and W. Bruce Croft}, booktitle={CIKM}, year={2014} }