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。The `lotte/lifestyle/test/search` dataset is provided by the ir-datasets package and is primarily used for text retrieval tasks. This dataset contains 661 queries (i.e., topics) and 1804 relevance judgment records. The document portion needs to be obtained from the `irds/lotte_lifestyle_test` dataset. Users can use the `datasets` library to load the query and relevance judgment data for further analysis and processing.

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" }