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@@ -62,9 +62,9 @@ The dataset was created by a team of data scientists from the KaraAgro AI Founda
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  with support from agricultural scientists and officers.
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  The creation of this dataset was made possible through funding of the
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  Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) through their projects
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- Market-Oriented Value Chains for Jobs & Growth in the ECOWAS Region (MOVE) and
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- "FAIR Forward - Artificial Intelligence for All", which GIZ implements on
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  behalf the German Federal Ministry for Economic Cooperation and Development (BMZ).
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- For detailed information regarding the dataset, we invite you to explore the accompanying datasheet available [here](https://docs.google.com/document/d/1ox23J2ti8-jVsQODw3SqEAVj2sszHSswS3bmcdwW7Y8/edit#).
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  This comprehensive resource offers a deeper understanding of the dataset's composition, variables, data collection methodologies, and other relevant details.
 
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  with support from agricultural scientists and officers.
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  The creation of this dataset was made possible through funding of the
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  Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) through their projects
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+ [Market-Oriented Value Chains for Jobs & Growth in the ECOWAS Region (MOVE)](https://www.giz.de/en/worldwide/108524.html) and
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+ [FAIR Forward - Artificial Intelligence for All](https://www.bmz-digital.global/en/overview-of-initiatives/fair-forward/), which GIZ implements on
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  behalf the German Federal Ministry for Economic Cooperation and Development (BMZ).
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+ For detailed information regarding the dataset, we invite you to explore the accompanying datasheet available [here](https://drive.google.com/file/d/1viv-PtZC_j9S_K1mPl4R1lFRKxoFlR_M/view?usp=sharing).
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  This comprehensive resource offers a deeper understanding of the dataset's composition, variables, data collection methodologies, and other relevant details.