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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
{
'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
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.
language = "hausa"
dataset = load_dataset("ciral/ciral-corpus", language, translated=True)
Citation
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