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

The `medline/2017/trec-pm-2018` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/medline#medline/2017/trec-pm-2018).

# Data

This dataset provides:
 - `queries` (i.e., topics); count=50
 - `qrels`: (relevance assessments); count=22,429

 - For `docs`, use [`irds/medline_2017`](https://huggingface.co/datasets/irds/medline_2017)

## Usage

```python
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}
}
```

task_categories:text-retrieval source_datasets:irds/medline_2017 region:us
{"source_datasets": ["irds/medline_2017"], "task_categories": ["text-retrieval"], "pretty_name": "`medline/2017/trec-pm-2018`", "viewer": false}
TAGS
#task_categories-text-retrieval #source_datasets-irds/medline_2017 #region-us 


# 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



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.





# 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



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.
TAGS
#task_categories-text-retrieval #source_datasets-irds/medline_2017 #region-us 
 # 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



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.
passage: TAGS
#task_categories-text-retrieval #source_datasets-irds/medline_2017 #region-us 
# 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



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.