
# Dataset Card for `wikiclir/uk`

The `wikiclir/uk` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/wikiclir#wikiclir/uk).

# Data

This dataset provides:
 - `docs` (documents, i.e., the corpus); count=704,903
 - `queries` (i.e., topics); count=348,222
 - `qrels`: (relevance assessments); count=913,358


## Usage

```python
from datasets import load_dataset

docs = load_dataset('irds/wikiclir_uk', 'docs')
for record in docs:
    record # {'doc_id': ..., 'title': ..., 'text': ...}

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

qrels = load_dataset('irds/wikiclir_uk', '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

```
@inproceedings{sasaki-etal-2018-cross,
    title = "Cross-Lingual Learning-to-Rank with Shared Representations",
    author = "Sasaki, Shota  and
      Sun, Shuo  and
      Schamoni, Shigehiko  and
      Duh, Kevin  and
      Inui, Kentaro",
    booktitle = "Proceedings of the 2018 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)",
    month = jun,
    year = "2018",
    address = "New Orleans, Louisiana",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/N18-2073",
    doi = "10.18653/v1/N18-2073",
    pages = "458--463"
}
```

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


# Dataset Card for 'wikiclir/uk'

The 'wikiclir/uk' 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=704,903
 - 'queries' (i.e., topics); count=348,222
 - 'qrels': (relevance assessments); count=913,358


## 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 'wikiclir/uk'

The 'wikiclir/uk' 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=704,903
 - 'queries' (i.e., topics); count=348,222
 - 'qrels': (relevance assessments); count=913,358 ## 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 'wikiclir/uk'

The 'wikiclir/uk' 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=704,903
 - 'queries' (i.e., topics); count=348,222
 - 'qrels': (relevance assessments); count=913,358 ## 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.
passage: TAGS
#task_categories-text-retrieval #region-us 
# Dataset Card for 'wikiclir/uk'

The 'wikiclir/uk' 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=704,903
 - 'queries' (i.e., topics); count=348,222
 - 'qrels': (relevance assessments); count=913,358## 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.