from hamu_tool.dataset import DataLoader
loader = DataLoader.load('beir/touche-v2')
for doc in loader.get_docs():
print(doc.id, doc.text, doc.title, doc.stance, doc.url)
break
for query in loader.get_queries():
print(query.id, query.text, query.description, query.narrative)
break
for qrel in loader.get_qrels('[mode]'):
print(qrel.qid, qrel.did, qrel.score)
break
@inproceedings{bondarenko2020overview,
title = "Overview of Touch{\'e} 2020: argument retrieval",
author = {Bondarenko, Alexander and Fr{\"o}be, Maik and Beloucif, Meriem and Gienapp, Lukas and Ajjour, Yamen and Panchenko, Alexander and Biemann, Chris and Stein, Benno and Wachsmuth, Henning and Potthast, Martin and others},
booktitle = "Experimental IR Meets Multilinguality, Multimodality, and Interaction: 11th International Conference of the CLEF Association, CLEF 2020, Thessaloniki, Greece, September 22--25, 2020, Proceedings 11",
pages = "384--395",
year = "2020",
organization = "Springer"
}
@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",
}