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

The `clinicaltrials/2019/trec-pm-2019` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/clinicaltrials#clinicaltrials/2019/trec-pm-2019).

# Data

This dataset provides:
 - `queries` (i.e., topics); count=40
 - `qrels`: (relevance assessments); count=12,996

 - For `docs`, use [`irds/clinicaltrials_2019`](https://huggingface.co/datasets/irds/clinicaltrials_2019)

## Usage

```python
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}
}
```

task_categories:text-retrieval source_datasets:irds/clinicaltrials_2019 region:us
{"source_datasets": ["irds/clinicaltrials_2019"], "task_categories": ["text-retrieval"], "pretty_name": "`clinicaltrials/2019/trec-pm-2019`", "viewer": false}
TAGS
#task_categories-text-retrieval #source_datasets-irds/clinicaltrials_2019 #region-us 


# 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



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 '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



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/clinicaltrials_2019 #region-us 
 # 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



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/clinicaltrials_2019 #region-us 
# 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



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.