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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=50qrels
: (relevance assessments); count=22,429For
docs
, useirds/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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