Sean MacAvaney
commit files to HF hub
0cc515c
metadata
pretty_name: '`cord19/trec-covid/round4`'
viewer: false
source_datasets: []
task_categories:
  - text-retrieval

Dataset Card for cord19/trec-covid/round4

The cord19/trec-covid/round4 dataset, provided by the ir-datasets package. For more information about the dataset, see the documentation.

Data

This dataset provides:

  • docs (documents, i.e., the corpus); count=158,274
  • queries (i.e., topics); count=45
  • qrels: (relevance assessments); count=13,262

Usage

from datasets import load_dataset

docs = load_dataset('irds/cord19_trec-covid_round4', 'docs')
for record in docs:
    record # {'doc_id': ..., 'title': ..., 'doi': ..., 'date': ..., 'abstract': ...}

queries = load_dataset('irds/cord19_trec-covid_round4', 'queries')
for record in queries:
    record # {'query_id': ..., 'title': ..., 'description': ..., 'narrative': ...}

qrels = load_dataset('irds/cord19_trec-covid_round4', 'qrels')
for record in qrels:
    record # {'query_id': ..., 'doc_id': ..., 'relevance': ..., 'iteration': ...}

Note that calling load_dataset will download the dataset (or provide access instructions when it's not public) and make a copy of the data in 🤗 Dataset format.

Citation Information

@article{Voorhees2020TrecCovid,
  title={TREC-COVID: Constructing a Pandemic Information Retrieval Test Collection},
  author={E. Voorhees and Tasmeer Alam and Steven Bedrick and Dina Demner-Fushman and W. Hersh and Kyle Lo and Kirk Roberts and I. Soboroff and Lucy Lu Wang},
  journal={ArXiv},
  year={2020},
  volume={abs/2005.04474}
}
@article{Wang2020Cord19,
  title={CORD-19: The Covid-19 Open Research Dataset},
  author={Lucy Lu Wang and Kyle Lo and Yoganand Chandrasekhar and Russell Reas and Jiangjiang Yang and Darrin Eide and K. Funk and Rodney Michael Kinney and Ziyang Liu and W. Merrill and P. Mooney and D. Murdick and Devvret Rishi and Jerry Sheehan and Zhihong Shen and B. Stilson and A. Wade and K. Wang and Christopher Wilhelm and Boya Xie and D. Raymond and Daniel S. Weld and Oren Etzioni and Sebastian Kohlmeier},
  journal={ArXiv},
  year={2020}
}