irds/lotte_technology_dev_search
收藏Hugging Face2023-01-05 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/irds/lotte_technology_dev_search
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资源简介:
`lotte/technology/dev/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916个查询(queries)和2,676个相关性评估(qrels)。文档部分需要使用`irds/lotte_technology_dev`数据集。
提供机构:
irds
原始信息汇总
数据集概述
数据集名称
lotte/technology/dev/search
数据来源
- 主数据集:
irds/lotte_technology_dev
数据内容
queries: 查询语句,共916条qrels: 相关性评估,共2,676条docs: 文档数据,来源于irds/lotte_technology_dev
数据使用示例
python from datasets import load_dataset
queries = load_dataset(irds/lotte_technology_dev_search, queries) for record in queries: record # {query_id: ..., text: ...}
qrels = load_dataset(irds/lotte_technology_dev_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" }



