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irds/wikiclir_sw

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Hugging Face2023-01-05 更新2024-03-04 收录
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https://hf-mirror.com/datasets/irds/wikiclir_sw
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资源简介:
`wikiclir/sw`数据集由`ir-datasets`包提供,主要用于文本检索任务。数据集包含三个主要部分:文档(docs)、查询(queries)和相关性评估(qrels)。文档部分包含37,079条记录,查询部分包含22,860条记录,相关性评估部分包含57,924条记录。

The `wikiclir/sw` dataset is provided via the `ir-datasets` package and is primarily used for text retrieval tasks. It consists of three core components: documents (docs), queries, and relevance judgments (qrels). The document component contains 37,079 records, the query component includes 22,860 records, and the relevance judgment component has 57,924 records.
提供机构:
irds
原始信息汇总

数据集概述

数据集名称

wikiclir/sw

数据集来源

ir-datasets包提供。

数据集内容

  • docs (文档,即语料库); 数量=37,079
  • queries (查询,即主题); 数量=22,860
  • qrels (相关性评估); 数量=57,924

数据集使用示例

python from datasets import load_dataset

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

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

qrels = load_dataset(irds/wikiclir_sw, 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" }

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