irds/wikiclir_it

`wikiclir/it`数据集由`ir-datasets`包提供，包含文档（docs）、查询（queries）和相关性评估（qrels）三部分。具体来说，文档部分包含1,347,011条记录，查询部分包含808,605条记录，相关性评估部分包含3,443,633条记录。该数据集主要用于文本检索任务。

The `wikiclir/it` dataset is provided by the `ir-datasets` package, and it comprises three components: documents (docs), queries, and relevance judgments (qrels). Specifically, the document component contains 1,347,011 entries, the query component includes 808,605 entries, and the relevance judgment component has 3,443,633 entries. This dataset is primarily utilized for text retrieval tasks.

原始信息汇总

数据集概述

数据集名称

wikiclir/it

数据提供者

由 ir-datasets 包提供。

数据内容

• docs (文档，即语料库); 数量=1,347,011
• queries (查询，即主题); 数量=808,605
• qrels (相关性评估); 数量=3,443,633

数据使用示例

python from datasets import load_dataset

docs = load_dataset(irds/wikiclir_it, docs) for record in docs: record # {doc_id: ..., title: ..., text: ...}

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

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

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" }