irds/lotte_lifestyle_test_search

`lotte/lifestyle/test/search`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661个查询（即主题）和1804个相关性评估记录。文档部分需要从`irds/lotte_lifestyle_test`数据集中获取。用户可以使用`datasets`库加载查询和相关性评估数据，并进行进一步的分析和处理。

原始信息汇总

数据集概述

数据集名称

lotte/lifestyle/test/search

数据来源

• 源数据集：irds/lotte_lifestyle_test

数据集内容

• queries: 查询语句，共661条
• qrels: 相关性评估，共1,804条
• docs: 文档数据，需从irds/lotte_lifestyle_test获取

数据集用途

用于文本检索任务。

数据集加载示例

python from datasets import load_dataset

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

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

引用信息

@article{Santhanam2021ColBERTv2, title = "ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction", author = "Keshav Santhanam and Omar Khattab and Jon Saad-Falcon and Christopher Potts and Matei Zaharia", journal= "arXiv preprint arXiv:2112.01488", year = "2021", url = "https://arxiv.org/abs/2112.01488" }