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 ## Description
 
-With this model, you can classify emotions in English text data. The model was trained on diverse datasets and predicts 7 emotions:
+With this model, you can classify emotions in English text data. The model was trained on 6 diverse datasets and predicts 7 emotions:
 
 1) anger
 2) disgust
@@ -43,13 +43,13 @@ Thanks to Samuel Domdey and chrsiebert for their support in making this model av
 
 ## Appendix
 
-Please find an overview of the datasets used for training below:
+Please find an overview of the datasets used for training below. The table summarizes which emotions are available in each of the datasets.
 
 |Name|anger|disgust|fear|joy|neutral|sadness|surprise|
 |---|---|---|---|---|---|---|---|
-|Crowdflower (2016)|Yes|No|No|Yes|Yes|Yes|Yes|
-|Emotion Dataset, Elvis et al. (2018)|Yes|Yes|Yes|Yes|No|Yes|Yes|
+|Crowdflower (2016)|Yes|-|-|Yes|Yes|Yes|Yes|
+|Emotion Dataset, Elvis et al. (2018)|Yes|Yes|Yes|Yes|-|Yes|Yes|
 |GoEmotions, Demszky et al. (2020)|Yes|Yes|Yes|Yes|Yes|Yes|Yes|
-|ISEAR, Vikash (2018)|Yes|Yes|Yes|Yes|No|Yes|No|
+|ISEAR, Vikash (2018)|Yes|Yes|Yes|Yes|-|Yes|-|
 |MELD, Poria et al. (2019)|Yes|Yes|Yes|Yes|Yes|Yes|Yes|
-|SemEval-18|Yes|No|Yes|Yes|No|Yes|No|
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+|SemEval-18|Yes|-|Yes|Yes|-|Yes|-|
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