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IndabaX South Africa Multilingual Health Question Answering in Low-Resource African Languages Hackathon

500 Zindi Points
Under code review
Large Language Models
NLP
53 joined
36 active
Starti
Jul 07, 26
Closei
Jul 08, 26
Reveali
Jul 09, 26
About

The training dataset contains maternal, sexual and reproductive health (MSRH) question-and-answer pairs across four African languages – Akan, Amharic, Luganda and Swahili and the English language – spanning nine language-country configurations. It comprises approximately 29,815 training records and 6,686 validation records. It is suitable for sequence-to-sequence tasks such as health question answering and text generation in low-resource African languages.

The test dataset follows the same structure. It consists of 2,618 records in total. Unlike the training data, this dataset contains only the input health questions. Participants must use their trained model to generate the corresponding answers, which will be evaluated against the reference answers.

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Files
Description
Files
This starter noteboook loads the data, trains a model and make a submission.
This file contains the question-and-answer pairs needed to train your model.
This file contains question-and-answer pairs for model validation.
This file contains the questions which you should be answered by your trained model.
This file shows the format and structure of the submission file.