Update README.md

README.md

@@ -54,7 +54,9 @@ This model is case-sensitive: it makes a difference between English and English.
 The model has 6 layers, 768 dimension and 12 heads, totalizing 82M parameters (compared to 125M parameters for RoBERTa-base).
 On average DistilRoBERTa is twice as fast as Roberta-base.
 
-## Training and evaluation data
+## Training Data
+
+Polar sentiment dataset of sentences from financial news. The dataset consists of 4840 sentences from English language financial news categorised by sentiment. The dataset is divided by agreement rate of 5-8 annotators.
 
 ## Training procedure