irds/lotte_pooled_dev_forum

`lotte/pooled/dev/forum`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10,097个查询（即主题）和68,685个相关性评估。文档部分需要使用`irds/lotte_pooled_dev`数据集。

The `lotte/pooled/dev/forum` dataset is provided by the ir-datasets package and is primarily intended for text retrieval tasks. This dataset contains 10,097 queries (also known as topics) and 68,685 relevance judgments. The document component of this dataset requires the use of the `irds/lotte_pooled_dev` dataset.

原始信息汇总

数据集概述

数据集名称

lotte/pooled/dev/forum

数据来源

• 原始数据集：irds/lotte_pooled_dev

数据内容

• queries（查询主题）：数量=10,097
• qrels（相关性评估）：数量=68,685
• docs（文档）：使用irds/lotte_pooled_dev数据集

使用示例

python from datasets import load_dataset

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

qrels = load_dataset(irds/lotte_pooled_dev_forum, 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" }

搜集汇总

背景与挑战

背景概述

该数据集是'irds/lotte_pooled_dev_forum'，由ir-datasets包提供，专为文本检索任务设计，基于ColBERTv2模型的研究论文。它包含10,097个查询和68,685个相关性评估，但文档数据需从'irds/lotte_pooled_dev'获取，主要用于信息检索系统的开发和评估。