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@@ -72,6 +72,34 @@ example = "Emir of Kano turban Zhang wey don spend 18 years for Nigeria"
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  ner_results = nlp(example)
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  print(ner_results)
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  ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  #### Limitations and bias
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  This model is limited by its training dataset of entity-annotated news articles from a specific span of time. This may not generalize well for all use cases in different domains.
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  ## Training data
 
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  ner_results = nlp(example)
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  print(ner_results)
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  ```
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+
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+ ## Eval results on MasakhaNER (F-score)
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+ language| MasakhaNER 1.0 test set | MasakhaNER 2.0 test set
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+ -|-|-
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+ amh |80.5||
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+ bam |||
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+ bbj |||
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+ ewe |||
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+ fon |||
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+ hau |||
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+ ibo |||
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+ kin |||
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+ lug |||
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+ luo |||
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+ mos |||
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+ nya |||
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+ pcm |||
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+ sna |||
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+ swa |||
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+ tsn |||
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+ twi |||
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+ wol |||
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+ xho |||
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+ yor |||
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+ zul |||
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+ avg |66.4|79.0
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+
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+
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  #### Limitations and bias
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  This model is limited by its training dataset of entity-annotated news articles from a specific span of time. This may not generalize well for all use cases in different domains.
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  ## Training data