KenSwQuAD

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natural language processing

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dataset

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KenSwQuAD (Kenyan Swahili Question Answering Dataset) is a reading comprehension and question answering dataset for Swahili, a low-resource African language. The dataset contains 7,506 question-answer pairs derived from 1,441 unique Swahili contexts covering diverse topics including agriculture, education, technology, governance, and daily life in Kenya.

KenSwQuAD

This is a backup of the KenSwQuAD dataset available at https://dataverse.harvard.edu/dataset.xhtml?p

KenSwQuAD

KenSwQuAD (Kenyan Swahili Question Answering Dataset) is a reading comprehension and question answer

KenSwQuAD: Swahili QA Dataset

Question answering systems, NLP research Notes / challenges: Limited to Swahili; dataset size may b

KenSwQuAD – A Question Answering Dataset for Swahili Low Resource Language

This research developed a Kencorpus Swahili Question Answering Dataset KenSwQuAD from raw data of Swahili language, which is a low resource language predominantly spoken in Eastern African and also has speakers in other parts of the world. Question Answering datase

Hierarchical Curriculum Transfer for Swahili QA with mT5: SQuAD Pretraining and KenSwQuAD Extractive-to-Abstractive Refinement

The introduction of the Kencorpus Swahili Question Answering Dataset (KenSwQuAD) presents a compelli

KenSwQuAD

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KenSwQuAD

KenSwQuAD

KenSwQuAD: Swahili QA Dataset

KenSwQuAD – A Question Answering Dataset for Swahili Low Resource Language

Hierarchical Curriculum Transfer for Swahili QA with mT5: SQuAD Pretraining and KenSwQuAD Extractive-to-Abstractive Refinement