irds/trec-arabic_ar2002

`trec-arabic/ar2002`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38,432个相关性评估（qrels）。文档部分需要使用`irds/trec-arabic`数据集。数据集的引用信息包括两篇文献，分别来自TREC会议和Linguistic Data Consortium。

The trec-arabic/ar2002 dataset is provided via the ir-datasets package, and is primarily used for text retrieval tasks. This dataset contains 50 queries (i.e., topics) and 38,432 relevance judgments (qrels). The document corpus of this dataset requires the use of the `irds/trec-arabic` dataset. The citation information for this dataset includes two publications, originating from the TREC Conference and the Linguistic Data Consortium respectively.

原始信息汇总

数据集概述

数据集名称

• trec-arabic/ar2002

数据来源

• 来源数据集：irds/trec-arabic

数据内容

• queries（查询）：共50条
• qrels（相关性评估）：共38,432条
• docs（文档）：使用irds/trec-arabic数据集

数据使用示例

python from datasets import load_dataset

queries = load_dataset(irds/trec-arabic_ar2002, queries) for record in queries: record # {query_id: ..., title: ..., description: ..., narrative: ...}

qrels = load_dataset(irds/trec-arabic_ar2002, qrels) for record in qrels: record # {query_id: ..., doc_id: ..., relevance: ..., iteration: ...}

引用信息

@inproceedings{Gey2002Arabic, title={The TREC-2002 Arabic/English CLIR Track}, author={Fredric Gey and Douglas Oard}, booktitle={TREC}, year={2002} } @misc{Graff2001Arabic, title={Arabic Newswire Part 1 LDC2001T55}, author={Graff, David, and Walker, Kevin}, year={2001}, url={https://catalog.ldc.upenn.edu/LDC2001T55}, publisher={Linguistic Data Consortium} }