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Dataset Card for medline/2017/trec-pm-2018

The medline/2017/trec-pm-2018 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=50

  • qrels: (relevance assessments); count=22,429

  • For docs, use irds/medline_2017

Usage

from datasets import load_dataset

queries = load_dataset('irds/medline_2017_trec-pm-2018', 'queries')
for record in queries:
    record # {'query_id': ..., 'disease': ..., 'gene': ..., 'demographic': ...}

qrels = load_dataset('irds/medline_2017_trec-pm-2018', '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{Roberts2018TrecPm,
  title={Overview of the TREC 2018 Precision Medicine Track},
  author={Kirk Roberts and Dina Demner-Fushman and Ellen M. Voorhees and William R. Hersh and Steven Bedrick and Alexander J. Lazar},
  booktitle={TREC},
  year={2018}
}
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