from hamu_tool.dataset import DataLoader
loader = DataLoader.load('beir/arguana')
for doc in loader.get_docs():
print(doc.id, doc.text, doc.title)
break
for query in loader.get_queries():
print(query.id, query.text)
break
for qrel in loader.get_qrels('[mode]'):
print(qrel.qid, qrel.did, qrel.score)
break
@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",
}