Update README.md

README.md

@@ -24,7 +24,7 @@ With this model, you can classify emotions in English text data. The model was t
 6) sadness
 7) surprise
 
-The model is a fine-tuned checkpoint of DistilRoBERTa-base. The emotions reflect Ekman's 6 universal emotions, plus a neutral class.
+The model is a fine-tuned checkpoint of DistilRoBERTa-base. The emotions reflect Ekman's 6 basic emotions, plus a neutral class.
 
 ## Application
 
@@ -49,7 +49,7 @@ Please find an overview of the datasets used for training below. All datasets co
 |Name|anger|disgust|fear|joy|neutral|sadness|surprise|
 |---|---|---|---|---|---|---|---|
 |Crowdflower (2016)|Yes|-|-|Yes|Yes|Yes|Yes|
-|Emotion Dataset, Elvis et al. (2018)|Yes|Yes|Yes|Yes|-|Yes|Yes|
+|Emotion Dataset, Elvis et al. (2018)|Yes|-|Yes|Yes|-|Yes|Yes|
 |GoEmotions, Demszky et al. (2020)|Yes|Yes|Yes|Yes|Yes|Yes|Yes|
 |ISEAR, Vikash (2018)|Yes|Yes|Yes|Yes|-|Yes|-|
 |MELD, Poria et al. (2019)|Yes|Yes|Yes|Yes|Yes|Yes|Yes|