The KaraAgroAI Cocoa Dataset
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'The dataset was created to provide an open and accessible Cocoa dataset with well-labeled, sufficiently curated, and prepared Cocoa crop imagery that will be used by data scientists, researchers, the wider machine learning community, and social entrepreneurs within Sub-saharan Africa and worldwide for various machine learning experiments so as to build solutions towards in-field Cocoa crop disease diagnosis and spatial analysis. The Cocoa dataset was collected across three classes: Healthy, Cocoa Swollen Shoot Virus Disease (CSSVD), and Anthracnose' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Cocoa"]} <|eot_id|>
 Here is the Description of a dataset. Description:'The dataset was created to provide an open and accessible Cocoa dataset with well-labeled, sufficiently curated, and prepared Cocoa crop imagery that will be used by data scientists, researchers, the wider machine learning community, and social entrepreneurs within Sub-saharan Africa and worldwide for various machine learning experiments so as to build solutions towards in-field Cocoa crop disease diagnosis and spatial analysis. The Cocoa dataset was collected across three classes: Healthy, Cocoa Swollen Shoot Virus Disease (CSSVD), and Anthracnose' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
The dataset was created to provide an open and accessible Cocoa dataset with well-labeled, sufficiently curated, and prepared Cocoa crop imagery that will be used by data scientists, researchers, the wider machine learning community, and social entrepreneurs within Sub-saharan Africa and worldwide for various machine learning experiments so as to build solutions towards in-field Cocoa crop disease diagnosis and spatial analysis. The Cocoa dataset was collected across three classes: Healthy, Cocoa Swollen Shoot Virus Disease (CSSVD), and Anthracnose
Cocoa