irds/lotte_lifestyle_dev_search
收藏资源简介：
`lotte/lifestyle/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417个查询（queries）和1,376个相关性评估（qrels）。文档部分需要使用`irds/lotte_lifestyle_dev`数据集。用户可以通过`datasets`库加载查询和相关性评估数据，并获取查询ID、查询文本、文档ID、相关性评分等信息。
The `lotte/lifestyle/dev/search` dataset is provided by the `ir-datasets` package and is primarily used for text retrieval tasks. It contains 417 queries and 1,376 relevance judgments (qrels). The document corpus requires the use of the `irds/lotte_lifestyle_dev` dataset. Users can load the query and relevance judgment data via the `datasets` library, and obtain information such as query ID, query text, document ID, and relevance score.
数据集概述
数据集名称
lotte/lifestyle/dev/search
数据来源
- 主数据集：
irds/lotte_lifestyle_dev
数据内容
queries: 查询语句，共417条qrels: 相关性评估，共1,376条docs: 文档数据，使用irds/lotte_lifestyle_dev数据集
数据使用示例
python from datasets import load_dataset
queries = load_dataset(irds/lotte_lifestyle_dev_search, queries) for record in queries: record # {query_id: ..., text: ...}
qrels = load_dataset(irds/lotte_lifestyle_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" }
