irds/gov_trec-web-2004

`gov/trec-web-2004`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225个查询（即主题）和88,566个相关性评估。文档部分需要使用`irds/gov`数据集。用户可以通过Python代码加载查询和相关性评估数据，并按照示例进行操作。该数据集的引用信息指向了2004年TREC会议上的相关论文。

The `gov/trec-web-2004` dataset is provided via the `ir-datasets` package, and is primarily utilized for text retrieval tasks. This dataset includes 225 queries (i.e., topics) and 88,566 relevance judgments. The document corpus requires the use of the `irds/gov` dataset. Users can load the query and relevance judgment data through Python code and follow the provided examples for proper usage. The citation information for this dataset refers to the relevant paper presented at the 2004 TREC Conference.

原始信息汇总

数据集概述

数据集名称

gov/trec-web-2004

数据来源

由ir-datasets提供。

数据内容

• queries (查询主题): 共225个
• qrels (相关性评估): 共88,566个
• docs (文档): 使用irds/gov数据集

使用方法

python from datasets import load_dataset

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

qrels = load_dataset(irds/gov_trec-web-2004, qrels) for record in qrels: record # {query_id: ..., doc_id: ..., relevance: ..., iteration: ...}

引用信息

@inproceedings{Craswell2004TrecWeb, title={Overview of the TREC-2004 Web Track}, author={Nick Craswell and David Hawking}, booktitle={TREC}, year={2004} }