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

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dc.creatorDomelevo Entfellner, Jean-Baka
dc.creatorDhulipala, Ram
dc.creatorKihoro, Esther
dc.creatorKorir, Max
dc.creatorAnyona, Beatrice
dc.creatorKone Galgallo, Diba
dc.creatorSharma, Garima
dc.creatorNjoki Nganga, Irene
dc.creatorLepariyo, Watson
dc.creatorKiptanui, Ken
dc.creatorOjanji, Wandera
dc.creatorNdirangu, Esther
dc.creatorCherotich, Fredah
dc.creatorJuma, John
dc.creatorMwangi Gituma, Michael
dc.creatorKamau, Mwangi
dc.creatorKramer, Berber
dc.creatorBoukaka, Sedi
dc.creatorRichards, Shauna
dc.creatorKarugia, Joseph
dc.creatorPatel, Ekta
dc.creatorChebet, Arusey
dc.creatorMware, Bernard
dc.creatorWanjawa, Barack
dc.creatorRonoh, Nathan
dc.creatorOkoma, Sheila
dc.creatorMalicha, Wario
dc.creatorWebi, Ethel
dc.creatorLukuyu, Ben
dc.creatorRutto, Erick
dc.creatorNjamba, Harrison
dc.date2026-01-29T11:56:57Z
dc.date2026-01-29T11:56:57Z
dc.date.accessioned2026-06-27T17:16:22Z
dc.descriptionThis 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.
dc.identifierhttps://hdl.handle.net/10568/180849
dc.identifier.urihttp://hdl.handle.net/123456789/147358
dc.languageen
dc.relationhttps://www.cgiar.org/news-events/news/agrillm-how-cgiar-is-developing-an-ai-powered-agricultural-advisory-service-for-global-south
dc.relationhttps://github.com/ilri/QA-pairs-datathon-app
dc.rightsOpen Access
dc.sourceJean-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, Harrison Njamba. (9/6/2025). Question and Answer pairs with relevance to livestock-based agriculture in the Global South [Hackathon output: Question and Answer pairs with relevance to agriculture].
dc.subjecttraining
dc.subjectcrowdsourcing
dc.subjectevent
dc.subjectq/a pairs
dc.subjecthackathon
dc.subjectagrillm
dc.titleQuestion and Answer pairs with relevance to livestock-based agriculture in the Global South
dc.typeDataset

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