Update README.md

README.md

@@ -6,9 +6,7 @@ This model was trained on ~40k heterogeneous manually annotated sentences (📚
 
 **Dataset**
 
-Please note that the label distribution in the dataset is imbalanced:
-* NON-ARGUMENTS:
-* ARGUMENTS:
+The dataset consists of **ARGUMENTS** that either support or oppose a topic if it includes a relevant reason for supporting or opposing the topic, or as a **NON-ARGUMENT** if it does not include reasons. The authors focus on controversial topics, i.e., topics that include an obvious polarity to the possible outcomes and compile a final set of eight controversial topics: _abortion, school uniforms, death penalty, marijuana legalization, nuclear energy, cloning, gun control, and minimum wage_.
 
 **Model training**