irds/beir_scifact_test

`beir/scifact/test`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300个`queries`（即主题）和339个`qrels`（相关性评估）。文档部分需要使用`irds/beir_scifact`数据集。用户可以通过Python代码加载并使用该数据集。

The `beir/scifact/test` dataset is provided via the `ir-datasets` package, and is primarily used for text retrieval tasks. This dataset contains 300 `queries` (i.e., topics) and 339 `qrels` (relevance assessments). The document corpus requires the use of the `irds/beir_scifact` dataset. Users can load and utilize this dataset through Python code.

原始信息汇总

数据集概述

数据集名称

beir/scifact/test

数据来源

• 源数据集：irds/beir_scifact

任务类别

• 文本检索

数据内容

• queries（查询）：300条
• qrels（相关性评估）：339条
• docs（文档）：使用irds/beir_scifact数据集

使用示例

python from datasets import load_dataset

queries = load_dataset(irds/beir_scifact_test, queries) for record in queries: record # {query_id: ..., text: ...}

qrels = load_dataset(irds/beir_scifact_test, qrels) for record in qrels: record # {query_id: ..., doc_id: ..., relevance: ..., iteration: ...}

引用信息

@inproceedings{Wadden2020Scifact, title = "Fact or Fiction: Verifying Scientific Claims", author = "Wadden, David and Lin, Shanchuan and Lo, Kyle and Wang, Lucy Lu and van Zuylen, Madeleine and Cohan, Arman and Hajishirzi, Hannaneh", booktitle = "Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)", month = nov, year = "2020", address = "Online", publisher = "Association for Computational Linguistics", url = "https://www.aclweb.org/anthology/2020.emnlp-main.609", doi = "10.18653/v1/2020.emnlp-main.609", pages = "7534--7550" } @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", }