irds/pmc_v2_trec-cds-2016

Dataset Card for pmc/v2/trec-cds-2016

The pmc/v2/trec-cds-2016 dataset, provided by the ir-datasets package. For more information about the dataset, see the documentation.

Data

This dataset provides:

• queries (i.e., topics); count=30

• qrels: (relevance assessments); count=37,707

• For docs, use irds/pmc_v2

Usage

from datasets import load_dataset

queries = load_dataset('irds/pmc_v2_trec-cds-2016', 'queries')
for record in queries:
    record # {'query_id': ..., 'type': ..., 'note': ..., 'description': ..., 'summary': ...}

qrels = load_dataset('irds/pmc_v2_trec-cds-2016', '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

@inproceedings{Roberts2016TrecCds,
  title={Overview of the TREC 2016 Clinical Decision Support Track},
  author={Kirk Roberts and Dina Demner-Fushman and Ellen M. Voorhees and William R. Hersh},
  booktitle={TREC},
  year={2016}
}