beir/bioasq

from hamu_tool.dataset import DataLoader

loader = DataLoader.load('beir/bioasq')

for doc in loader.get_docs():
    print(doc.id, doc.text, doc.title, doc.journal, doc.year, doc.pmid, doc.mesh_major)
    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

from hamu_tool.dataset import DataLoader

loader = DataLoader.load('beir/bioasq')

doc = loader.get_doc('[did]')
print(doc)

query = loader.get_query('[qid]')
print(query)

qrel = loader.get_qrel('[mode]', '[qid]')
print(qrel)

@article{tsatsaronis2015overview,
  title = "An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition",
  author = "Tsatsaronis, George and Balikas, Georgios and Malakasiotis, Prodromos and Partalas, Ioannis and Zschunke, Matthias and Alvers, Michael R and Weissenborn, Dirk and Krithara, Anastasia and Petridis, Sergios and Polychronopoulos, Dimitris and others",
  journal = "BMC bioinformatics",
  volume = "16",
  pages = "1--28",
  year = "2015",
  publisher = "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",
}