| | --- |
| | pretty_name: '`medline/2017`' |
| | viewer: false |
| | source_datasets: [] |
| | task_categories: |
| | - text-retrieval |
| | --- |
| | |
| | # Dataset Card for `medline/2017` |
| |
|
| | The `medline/2017` 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). |
| |
|
| | # Data |
| |
|
| | This dataset provides: |
| | - `docs` (documents, i.e., the corpus); count=26,740,025 |
| |
|
| |
|
| | This dataset is used by: [`medline_2017_trec-pm-2017`](https://huggingface.co/datasets/irds/medline_2017_trec-pm-2017), [`medline_2017_trec-pm-2018`](https://huggingface.co/datasets/irds/medline_2017_trec-pm-2018) |
| |
|
| |
|
| | ## Usage |
| |
|
| | ```python |
| | from datasets import load_dataset |
| | |
| | docs = load_dataset('irds/medline_2017', 'docs') |
| | for record in docs: |
| | record # {'doc_id': ..., 'title': ..., 'abstract': ...} |
| | |
| | ``` |
| |
|
| | 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. |
| |
|
