{"url":"/dataset/afriqa","name":"AfriQA","full_name":null,"description_markdown":"**AfriQA** is a cross-lingual QA dataset with a focus on African languages. AfriQA includes 12,000+ XOR QA examples across 10 African languages, where relevant passages are retrieved in a high-resource language spoken in the corresponding region and answers are translated into the source language. The dataset enables the development of more equitable QA technology.\r\n\r\nSource: [AfriQA: Cross-lingual Open-Retrieval Question Answering for African Languages](https://arxiv.org/pdf/2305.06897v1.pdf)","description_withheld":null,"homepage":"https://github.com/masakhane-io/afriqa","introduced_date":"2023-05-11","introduced_date_note":null,"introduced_by":{"paper":"/paper/afriqa-cross-lingual-open-retrieval-question","title":"AfriQA: Cross-lingual Open-Retrieval Question Answering for African Languages","first_author":"Odunayo Ogundepo","url":null},"license":{"name":"CC-BY-4.0","url":"https://github.com/masakhane-io/afriqa/blob/main/LICENSE"},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Question Answering","url":"/task/question-answering","datasets_with_task":"/datasets/task/question-answering"}],"languages":[],"variants":["AfriQA"],"data_loaders":[],"num_papers_in_archive":3,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}