| | --- |
| | pretty_name: '`mmarco/fr`' |
| | viewer: false |
| | source_datasets: [] |
| | task_categories: |
| | - text-retrieval |
| | language: |
| | - fr |
| | --- |
| | |
| | # Dataset Card for `mmarco/fr` |
| |
|
| | The `mmarco/fr` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package. |
| | For more information about the dataset, see the [documentation](https://ir-datasets.com/mmarco#mmarco/fr). |
| |
|
| | # Data |
| |
|
| | This dataset provides: |
| | - `docs` (documents, i.e., the corpus); count=8,841,823 |
| |
|
| |
|
| | This dataset is used by: [`mmarco_fr_dev`](https://huggingface.co/datasets/irds/mmarco_fr_dev), [`mmarco_fr_train`](https://huggingface.co/datasets/irds/mmarco_fr_train) |
| |
|
| |
|
| | ## Usage |
| |
|
| | ```python |
| | from datasets import load_dataset |
| | |
| | docs = load_dataset('irds/mmarco_fr', '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{Bonifacio2021MMarco, |
| | title={{mMARCO}: A Multilingual Version of {MS MARCO} Passage Ranking Dataset}, |
| | author={Luiz Henrique Bonifacio and Israel Campiotti and Roberto Lotufo and Rodrigo Nogueira}, |
| | year={2021}, |
| | journal={arXiv:2108.13897} |
| | } |
| | ``` |