资源简介：
---
pretty_name: '`mr-tydi/bn`'
viewer: false
source_datasets: []
task_categories:
- text-retrieval
---
# Dataset Card for `mr-tydi/bn`
The `mr-tydi/bn` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/mr-tydi#mr-tydi/bn).
# Data
This dataset provides:
- `docs` (documents, i.e., the corpus); count=304,059
- `queries` (i.e., topics); count=2,264
- `qrels`: (relevance assessments); count=2,292
This dataset is used by: [`mr-tydi_bn_dev`](https://huggingface.co/datasets/irds/mr-tydi_bn_dev), [`mr-tydi_bn_test`](https://huggingface.co/datasets/irds/mr-tydi_bn_test), [`mr-tydi_bn_train`](https://huggingface.co/datasets/irds/mr-tydi_bn_train)
## Usage
```python
from datasets import load_dataset
docs = load_dataset('irds/mr-tydi_bn', 'docs')
for record in docs:
record # {'doc_id': ..., 'text': ...}
queries = load_dataset('irds/mr-tydi_bn', 'queries')
for record in queries:
record # {'query_id': ..., 'text': ...}
qrels = load_dataset('irds/mr-tydi_bn', '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
```
@article{Zhang2021MrTyDi,
title={{Mr. TyDi}: A Multi-lingual Benchmark for Dense Retrieval},
author={Xinyu Zhang and Xueguang Ma and Peng Shi and Jimmy Lin},
year={2021},
journal={arXiv:2108.08787},
}
@article{Clark2020TyDiQa,
title={{TyDi QA}: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages},
author={Jonathan H. Clark and Eunsol Choi and Michael Collins and Dan Garrette and Tom Kwiatkowski and Vitaly Nikolaev and Jennimaria Palomaki},
year={2020},
journal={Transactions of the Association for Computational Linguistics}
}
```
