| | --- |
| | pretty_name: '`car/v2.0`' |
| | viewer: false |
| | source_datasets: [] |
| | task_categories: |
| | - text-retrieval |
| | --- |
| | |
| | # Dataset Card for `car/v2.0` |
| |
|
| | The `car/v2.0` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package. |
| | For more information about the dataset, see the [documentation](https://ir-datasets.com/car#car/v2.0). |
| |
|
| | # Data |
| |
|
| | This dataset provides: |
| | - `docs` (documents, i.e., the corpus); count=29,794,697 |
| |
|
| |
|
| | ## Usage |
| |
|
| | ```python |
| | from datasets import load_dataset |
| | |
| | docs = load_dataset('irds/car_v2.0', 'docs') |
| | for record in docs: |
| | record # {'doc_id': ..., 'text': ...} |
| | |
| | ``` |
| |
|
| | 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 |
| |
|
| | ``` |
| | @article{Dietz2017Car, |
| | title={{TREC CAR}: A Data Set for Complex Answer Retrieval}, |
| | author={Laura Dietz and Ben Gamari}, |
| | year={2017}, |
| | note={Version 1.5}, |
| | url={http://trec-car.cs.unh.edu} |
| | } |
| | ``` |
| |
|