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irds/beir_fiqa

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Hugging Face2023-01-05 更新2024-03-04 收录
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资源简介:
`beir/fiqa`数据集由`ir-datasets`包提供,主要用于文本检索任务。该数据集包含两个主要部分:`docs`(文档,即语料库),数量为57,638条;`queries`(查询,即主题),数量为6,648条。该数据集被用于`beir_fiqa_dev`、`beir_fiqa_test`和`beir_fiqa_train`等子数据集。

The `beir/fiqa` dataset is provided by the `ir-datasets` package and is primarily used for text retrieval tasks. It consists of two main components: `docs` (the corpus, i.e., documents) with a total of 57,638 entries, and `queries` (the topics, i.e., search queries) with 6,648 entries. This dataset is divided into sub-datasets including `beir_fiqa_dev`, `beir_fiqa_test`, and `beir_fiqa_train`.
提供机构:
irds
原始信息汇总

数据集概述

数据集名称

beir/fiqa

数据集来源

ir-datasets 包提供。

数据集内容

  • 文档(docs): 共57,638条记录。
  • 查询(queries): 共6,648条记录。

数据集用途

该数据集被用于以下项目:

引用信息

@article{Maia2018Fiqa, title={WWW18 Open Challenge: Financial Opinion Mining and Question Answering}, author={Macedo Maia and S. Handschuh and A. Freitas and Brian Davis and R. McDermott and M. Zarrouk and A. Balahur}, journal={Companion Proceedings of the The Web Conference 2018}, year={2018} } @article{Thakur2021Beir, title = "BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models", author = "Thakur, Nandan and Reimers, Nils and Rücklé, Andreas and Srivastava, Abhishek and Gurevych, Iryna", journal= "arXiv preprint arXiv:2104.08663", month = "4", year = "2021", url = "https://arxiv.org/abs/2104.08663", }

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