irds/lotte_writing_dev_search

`lotte/writing/dev/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497个查询（queries）和1,287个相关评估（qrels）。文档数据需要从`irds/lotte_writing_dev`数据集中获取。使用示例展示了如何通过Hugging Face的datasets库加载查询和相关评估数据。

原始信息汇总

数据集概述

数据集名称

lotte/writing/dev/search

数据来源

• 原始数据集：irds/lotte_writing_dev

数据内容

• queries: 查询语句，共497条
• qrels: 相关性评估，共1,287条
• docs: 文档数据，来源于irds/lotte_writing_dev

数据使用示例

python from datasets import load_dataset

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

qrels = load_dataset(irds/lotte_writing_dev_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" }