README.md

metadata

pretty_name: '`clinicaltrials/2019/trec-pm-2019`'
viewer: false
source_datasets:
  - irds/clinicaltrials_2019
task_categories:
  - text-retrieval

Dataset Card for clinicaltrials/2019/trec-pm-2019

The clinicaltrials/2019/trec-pm-2019 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=40

• qrels: (relevance assessments); count=12,996

• For docs, use irds/clinicaltrials_2019

Usage

from datasets import load_dataset

queries = load_dataset('irds/clinicaltrials_2019_trec-pm-2019', 'queries')
for record in queries:
    record # {'query_id': ..., 'disease': ..., 'gene': ..., 'demographic': ...}

qrels = load_dataset('irds/clinicaltrials_2019_trec-pm-2019', '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{Roberts2019TrecPm,
  title={Overview of the TREC 2019 Precision Medicine Track},
  author={Kirk Roberts and Dina Demner-Fushman and Ellen Voorhees and William R. Hersh and Steven Bedrick and Alexander J. Lazar and Shubham Pant and Funda Meric-Bernstam},
  booktitle={TREC},
  year={2019}
}