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@@ -106,6 +106,30 @@ The AfriSenti dataset has 3 splits: train, validation, and test. Below are the s
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  | test | 2,000 | 959 | 5,304 | 3,683 | 2,962 | 2,097 | 4,155 | 3,663 | 1,027 | 749 | 2,001 | 255 | 950 | 4,516 |
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  | total | 9,483 | 3,062 | 22,155 | 15,718 | 9,762 | 2,494 | 10,559 | 7,495 | 5,158 | 3,014 | 2,400 | 1,264 | 4,821 | 15,130 |
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  ## Dataset Creation
 
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  | test | 2,000 | 959 | 5,304 | 3,683 | 2,962 | 2,097 | 4,155 | 3,663 | 1,027 | 749 | 2,001 | 255 | 950 | 4,516 |
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  | total | 9,483 | 3,062 | 22,155 | 15,718 | 9,762 | 2,494 | 10,559 | 7,495 | 5,158 | 3,014 | 2,400 | 1,264 | 4,821 | 15,130 |
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+ ### How to use it
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+ ```
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+ from datasets import load_dataset
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+ # you can load specific language in the AfriSenti. This download train, validation and test sets.
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+ ds = load_dataset("shmuhammad/AfriSenti", "amh")
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+ # you can load specific train set only
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+ ds = load_dataset("shmuhammad/AfriSenti", "amh", split = "train")
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+ # download split test
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+ ds = load_dataset("shmuhammad/AfriSenti", "amh", split = "test")
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+ # download validation set
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+ ds = load_dataset("shmuhammad/AfriSenti", "amh", split = "validation")
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+ ```
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  ## Dataset Creation