from hamu_tool.dataset import DataLoader
loader = DataLoader.load('beir/quora')
for doc in loader.get_docs():
print(doc.id, doc.text)
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
@misc{quora-question-pairs,
author = "DataCanary, hilfialkaff, Lili Jiang, Meg Risdal, Nikhil Dandekar, tomtung",
title = "Quora Question Pairs",
publisher = "Kaggle",
year = "2017",
url = "https://kaggle.com/competitions/quora-question-pairs"
}
@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",
}