Update README.md

README.md

@@ -2,11 +2,11 @@ Welcome to **RoBERTArg**!
 
 🤖 **Model description**
 
-This model was trained on ~40k heterogeneous manually annotated sentences (📚 Stab et al. 2018) of controversial topics (abortion etc.) to classify text into one of two labels: 🏷 **NON-ARGUMENT** (0) and **ARGUMENT** (1).
+This model was trained on ~40k heterogeneous manually annotated sentences (📚 Stab et al. 2018) of controversial topics to classify text into one of two labels: 🏷 **NON-ARGUMENT** (0) and **ARGUMENT** (1).
 
 **Dataset**
 
-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_.
+The dataset (📚 Stab et al. 2018) 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**