Accès ouvert déclaré 2026 dataset

Question and Answer pairs with relevance to livestock-based agriculture in the Global South

Jean-Baka Domelevo Entfellner, Ram Dhulipala, Esther Kihoro, Max Korir, Beatrice Anyona, Diba Kone Galgallo, Garima Sharma, Irene Njoki Nganga, Watson Lepariyo, Ken Kiptanui, Wandera Ojanji, Esther Ndirangu, Fredah Cherotich, John Juma, Michael Mwangi Gituma, Mwangi Kamau, Berber Kramer, Sedi Boukaka, Shauna Richards, Joseph Karugia, Ekta Patel, Arusey Chebet, Bernard Mware, Barack Wanjawa, Nathan Ronoh, Sheila Okoma, Wario Malicha, Ethel Webi, Ben Lukuyu, Erick Rutto, H. Njamba

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Résumé fourni par la source

This crowdsourced dataset comprises a set of two comma separated values (CSV) files. The first one is the set of 598 rows corresponding to questions, some of which are answered (with some of the answers being accompanied by source references). The second file is the subset of the 312 questions and answer pairs with non-null answers. This dataset was collected at the International Livestock Research Institute (ILRI) in Nairobi, Kenya during a hackathon organized on 09 June 2025. It can be used for the purpose of training, validating or testing an Artificial Intelligence agent. The basis for the creation of this dataset was the CGIAR-wide effort to train the AgriLLM large language model. Participants of the hackathon were ILRI staff members as well as members of institutions hosted at the ILRI campus in Nairobi.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.

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