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---
language:
- ha
- so
- sw
- yo
mutilinguality:
- multilingual
task-categories:
- text-retrieval
license: apache-2.0
viewer: true
---
# Dataset Summary
CIRAL is a collection for cross-lingual information retrieval research across four (4) African languages. The collection comprises English queries and query-passage relevance judgements manually annotated by native speakers.
This dataset stores passages which have been culled from news websites for CIRAL.
## Dataset Structure
This dataset is configured by language. An example of a passage data entry is
```json
{
'docid': 'DOCID#0#0',
'title': 'This is the title of a sample passage',
'text': 'This is the content of a sample passage',
'url': 'https:/\/\this-is-a-sample-url.com'
}
```
## Load Dataset
An example to load the dataset
```python
language = "hausa"
dataset = load_dataset("ciral/ciral-corpus", language)
```
## Translated Dataset
We also include a translated version of the dataset in English for all the languages. Translation was done using [NLLB 1.3B](https://huggingface.co/facebook/nllb-200-1.3B).
```python
language = "hausa"
dataset = load_dataset("ciral/ciral-corpus", language, translated=True)
```
## Citation
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