irds/beir_dbpedia-entity_dev

`beir/dbpedia-entity/dev`数据集，由[ir-datasets](https://ir-datasets.com/)提供，包含67个查询和5,673个相关性评估，用于文本检索任务。

---
数据集展示名称：`beir/dbpedia-entity/dev`
数据集查看器：不可用
源数据集：['irds/beir_dbpedia-entity']
任务类别：
- 文本检索
---

# `beir/dbpedia-entity/dev` 数据集卡片
本`beir/dbpedia-entity/dev`数据集由[ir-datasets](https://ir-datasets.com/)工具包提供。如需了解该数据集的更多详情，请参阅[官方文档](https://ir-datasets.com/beir#beir/dbpedia-entity/dev)。

## 数据集内容
本数据集包含以下内容：
- 查询（即检索主题）：共计67条
- 相关性标注（qrels）：共计5673条

- 如需获取文档数据，请使用[`irds/beir_dbpedia-entity`](https://huggingface.co/datasets/irds/beir_dbpedia-entity)数据集。

## 使用方法
python
from datasets import load_dataset

# 加载查询数据集
queries = load_dataset('irds/beir_dbpedia-entity_dev', 'queries')
for record in queries:
record # 数据格式为 {'query_id': ..., 'text': ...}

# 加载相关性标注数据集
qrels = load_dataset('irds/beir_dbpedia-entity_dev', 'qrels')
for record in qrels:
record # 数据格式为 {'query_id': ..., 'doc_id': ..., 'relevance': ..., 'iteration': ...}

注意：调用`load_dataset`函数将自动下载该数据集（若数据集未公开，则会提供访问指引），并将数据转换为🤗数据集格式进行本地存储。

## 引用信息
bibtex
@article{Hasibi2017DBpediaEntityVA,
title={DBpedia-Entity v2: A Test Collection for Entity Search},
author={Faegheh Hasibi and Fedor Nikolaev and Chenyan Xiong and K. Balog and S. E. Bratsberg and Alexander Kotov and J. Callan},
journal={Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval},
year={2017}
}
@article{Thakur2021Beir,
title = "BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models",
author = "Thakur, Nandan and Reimers, Nils and Rücklé, Andreas and Srivastava, Abhishek and Gurevych, Iryna",
journal= "arXiv preprint arXiv:2104.08663",
month = "4",
year = "2021",
url = "https://arxiv.org/abs/2104.08663",
}

> [1] Hasibi F, Nikolaev F, Xiong C, et al. DBpedia-Entity v2: 面向实体搜索的测试集[C]//第40届国际ACM SIGIR信息检索研究与发展大会论文集. 2017.
> [2] Thakur N, Reimers N, Rücklé A, et al. BEIR: 面向信息检索模型零样本（Zero-shot）评估的异构基准测试集[J]. arXiv预印本arXiv:2104.08663, 2021.

原始信息汇总

数据集概述

数据集名称

beir/dbpedia-entity/dev

数据来源

• 源数据集：irds/beir_dbpedia-entity

数据集内容

• queries：查询（即主题），数量为67个。
• qrels：相关性评估，数量为5,673个。
• docs：文档数据，需从irds/beir_dbpedia-entity获取。

使用方法

python from datasets import load_dataset

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

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

引用信息

@article{Hasibi2017DBpediaEntityVA, title={DBpedia-Entity v2: A Test Collection for Entity Search}, author={Faegheh Hasibi and Fedor Nikolaev and Chenyan Xiong and K. Balog and S. E. Bratsberg and Alexander Kotov and J. Callan}, journal={Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval}, year={2017} } @article{Thakur2021Beir, title = "BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models", author = "Thakur, Nandan and Reimers, Nils and Rücklé, Andreas and Srivastava, Abhishek and Gurevych, Iryna", journal= "arXiv preprint arXiv:2104.08663", month = "4", year = "2021", url = "https://arxiv.org/abs/2104.08663", }