irds/hc4_fa
收藏Hugging Face2023-01-05 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/irds/hc4_fa
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资源简介:
`hc4/fa`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486,486个文档,每个文档包含`doc_id`、`title`、`text`、`url`、`time`和`cc_file`等字段。
The `hc4/fa` dataset is provided by the `ir-datasets` package, and is mainly used for text retrieval tasks. This dataset consists of 486,486 documents, each of which contains fields such as `doc_id`, `title`, `text`, `url`, `time`, and `cc_file`.
提供机构:
irds
原始信息汇总
数据集概述
数据集名称
hc4/fa
数据来源
- 由 ir-datasets 包提供
数据内容
- 包含
docs数据集,总计486,486个文档
数据结构
- 每个文档记录包含以下字段:
doc_idtitletexturltimecc_file
使用方法
- 通过
datasets.load_dataset(irds/hc4_fa, docs)加载数据集
引用信息
@article{Lawrie2022HC4, author = {Dawn Lawrie and James Mayfield and Douglas W. Oard and Eugene Yang}, title = {HC4: A New Suite of Test Collections for Ad Hoc CLIR}, booktitle = {{Advances in Information Retrieval. 44th European Conference on IR Research (ECIR 2022)}, year = {2022}, month = apr, publisher = {Springer}, series = {Lecture Notes in Computer Science}, site = {Stavanger, Norway}, url = {https://arxiv.org/abs/2201.09992} }



