
# Dataset Card for `mr-tydi/te`

The `mr-tydi/te` 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/te).

# Data

This dataset provides:
 - `docs` (documents, i.e., the corpus); count=548,224
 - `queries` (i.e., topics); count=5,517
 - `qrels`: (relevance assessments); count=5,540


This dataset is used by: [`mr-tydi_te_dev`](https://huggingface.co/datasets/irds/mr-tydi_te_dev), [`mr-tydi_te_test`](https://huggingface.co/datasets/irds/mr-tydi_te_test), [`mr-tydi_te_train`](https://huggingface.co/datasets/irds/mr-tydi_te_train)


## Usage

```python
from datasets import load_dataset

docs = load_dataset('irds/mr-tydi_te', 'docs')
for record in docs:
    record # {'doc_id': ..., 'text': ...}

queries = load_dataset('irds/mr-tydi_te', 'queries')
for record in queries:
    record # {'query_id': ..., 'text': ...}

qrels = load_dataset('irds/mr-tydi_te', '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}
}
```

task_categories:text-retrieval region:us
{"source_datasets": [], "task_categories": ["text-retrieval"], "pretty_name": "`mr-tydi/te`", "viewer": false}
TAGS
#task_categories-text-retrieval #region-us 


# Dataset Card for 'mr-tydi/te'

The 'mr-tydi/te' dataset, provided by the ir-datasets package.
For more information about the dataset, see the documentation.

# Data

This dataset provides:
 - 'docs' (documents, i.e., the corpus); count=548,224
 - 'queries' (i.e., topics); count=5,517
 - 'qrels': (relevance assessments); count=5,540


This dataset is used by: 'mr-tydi_te_dev', 'mr-tydi_te_test', 'mr-tydi_te_train'


## 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 'mr-tydi/te'

The 'mr-tydi/te' dataset, provided by the ir-datasets package.
For more information about the dataset, see the documentation. # Data

This dataset provides:
 - 'docs' (documents, i.e., the corpus); count=548,224
 - 'queries' (i.e., topics); count=5,517
 - 'qrels': (relevance assessments); count=5,540


This dataset is used by: 'mr-tydi_te_dev', 'mr-tydi_te_test', 'mr-tydi_te_train' ## 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 #region-us 
 # Dataset Card for 'mr-tydi/te'

The 'mr-tydi/te' dataset, provided by the ir-datasets package.
For more information about the dataset, see the documentation. # Data

This dataset provides:
 - 'docs' (documents, i.e., the corpus); count=548,224
 - 'queries' (i.e., topics); count=5,517
 - 'qrels': (relevance assessments); count=5,540


This dataset is used by: 'mr-tydi_te_dev', 'mr-tydi_te_test', 'mr-tydi_te_train' ## 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.