irds/tripclick_train_head_dctr
收藏Hugging Face2023-01-05 更新2024-03-04 收录
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https://hf-mirror.com/datasets/irds/tripclick_train_head_dctr
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资源简介:
`tripclick/train/head/dctr`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`qrels`(相关性评估)部分,共计128,420条记录。`docs`和`queries`部分分别需要使用`irds/tripclick`和`irds/tripclick_train_head`数据集获取。数据集的使用方法包括通过`datasets`库加载`qrels`,并提供了示例代码。
`tripclick/train/head/dctr` dataset is provided by the `ir-datasets` package, and is primarily designed for text retrieval tasks. This dataset includes a `qrels` (relevance judgment) section with a total of 128,420 records. The `docs` and `queries` sections shall be obtained using the `irds/tripclick` and `irds/tripclick_train_head` datasets respectively. The usage guidelines for this dataset involve loading the `qrels` via the `datasets` library, with accompanying sample code provided.
提供机构:
irds
原始信息汇总
数据集概述
数据集名称
tripclick/train/head/dctr
数据来源
- 主要来源:
irds/tripclick - 查询数据来源:
irds/tripclick_train_head
数据内容
qrels: 相关性评估数据,共计128,420条记录。
数据使用示例
python from datasets import load_dataset
qrels = load_dataset(irds/tripclick_train_head_dctr, qrels) for record in qrels: record # {query_id: ..., doc_id: ..., relevance: ..., iteration: ...}
引用信息
@inproceedings{Rekabsaz2021TripClick, title={TripClick: The Log Files of a Large Health Web Search Engine}, author={Navid Rekabsaz and Oleg Lesota and Markus Schedl and Jon Brassey and Carsten Eickhoff}, year={2021}, booktitle={SIGIR} }



