irds/beir_scifact_train
收藏数据集概述
数据集名称
beir/scifact/train
数据提供者
数据内容
queries(即主题); 数量=809qrels(相关性评估); 数量=919
数据源
使用 irds/beir_scifact 数据集中的 docs
使用示例
python from datasets import load_dataset
queries = load_dataset(irds/beir_scifact_train, queries) for record in queries: record # {query_id: ..., text: ...}
qrels = load_dataset(irds/beir_scifact_train, 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", }



