---
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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