irds/lotte_recreation_test_search

`lotte/recreation/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924个查询（topics）和1,991个相关度评估（qrels）。文档部分需要从`irds/lotte_recreation_test`数据集中获取。数据集的使用示例展示了如何通过`load_dataset`函数加载查询和相关度评估数据。

---
展示名称：`lotte/recreation/test/search`
查看器：已禁用
源数据集：['irds/lotte_recreation_test']
任务类别：文本检索（text-retrieval）
---

# 「`lotte/recreation/test/search`」数据集卡片
本数据集`lotte/recreation/test/search`由[ir-datasets](https://ir-datasets.com/)工具包提供。如需了解该数据集的详细信息，请查阅[官方文档](https://ir-datasets.com/lotte#lotte/recreation/test/search)。

## 数据说明
本数据集包含以下内容：
- `查询集（即主题集）`：共计924条
- `相关性标注集（qrels）`：共计1991条

如需获取`文档集`，请使用 [`irds/lotte_recreation_test`](https://huggingface.co/datasets/irds/lotte_recreation_test)。

## 使用方法
python
from datasets import load_dataset

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

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

请注意，调用`load_dataset`函数将自动下载该数据集（若数据集未公开，则会提供获取权限的相关指引），并将数据转换为🤗 数据集格式生成副本。

## 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"
}

原始信息汇总

数据集概述

数据集名称

lotte/recreation/test/search

数据来源

• 主数据集：irds/lotte_recreation_test

数据内容

• queries（查询）：共924条
• qrels（相关性评估）：共1,991条
• docs：使用irds/lotte_recreation_test数据集

数据使用示例

python from datasets import load_dataset

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

qrels = load_dataset(irds/lotte_recreation_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" }