Datasets:
Tasks:
Text Retrieval
ArXiv:
metadata
pretty_name: '`beir/arguana`'
viewer: false
Dataset Card for beir/arguana
The beir/arguana
IR dataset, provided by the ir-datasets package.
This dataset provides:
docs
(documents, i.e., the corpus)queries
(i.e., topics)qrels
: (relevance assessments)
Find more information about the dataset here.
Usage
from datasets import load_dataset
dataset = load_dataset({repr("irds/"+hgf_id)})
Citation Information
@inproceedings{Wachsmuth2018Arguana,
author = "Wachsmuth, Henning and Syed, Shahbaz and Stein, Benno",
title = "Retrieval of the Best Counterargument without Prior Topic Knowledge",
booktitle = "Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
year = "2018",
publisher = "Association for Computational Linguistics",
location = "Melbourne, Australia",
pages = "241--251",
url = "http://aclweb.org/anthology/P18-1023"
}
@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",
}