irds/wikiclir_en-simple

`wikiclir/en-simple`数据集由`ir-datasets`包提供，包含文档、查询和相关性评估三个部分。文档部分包含127,089条记录，查询部分包含114,572条记录，相关性评估部分包含250,380条记录。该数据集主要用于文本检索任务。

原始信息汇总

数据集概述

数据集名称

wikiclir/en-simple

数据来源

由 ir-datasets 包提供。

数据内容

• 文档 (docs): 共127,089篇
• 查询 (queries): 共114,572个
• 相关性评估 (qrels): 共250,380条

数据结构

• 文档 (docs): 每条记录包含 doc_id, title, text
• 查询 (queries): 每条记录包含 query_id, text
• 相关性评估 (qrels): 每条记录包含 query_id, doc_id, relevance, iteration

使用示例

python from datasets import load_dataset

docs = load_dataset(irds/wikiclir_en-simple, docs) queries = load_dataset(irds/wikiclir_en-simple, queries) qrels = load_dataset(irds/wikiclir_en-simple, qrels)

引用信息

@inproceedings{sasaki-etal-2018-cross, title = "Cross-Lingual Learning-to-Rank with Shared Representations", author = "Sasaki, Shota and Sun, Shuo and Schamoni, Shigehiko and Duh, Kevin and Inui, Kentaro", booktitle = "Proceedings of the 2018 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)", month = jun, year = "2018", address = "New Orleans, Louisiana", publisher = "Association for Computational Linguistics", url = "https://aclanthology.org/N18-2073", doi = "10.18653/v1/N18-2073", pages = "458--463" }