Update src/about.py

src/about.py

@@ -112,12 +112,12 @@ LEADERBOARD_INTRODUCTION = """
 
 Welcome to the PROBE (Protein RepresentatiOn BEnchmark) leaderboard! This platform evaluates protein representation models based on their ability to capture functional properties of proteins through four key benchmarks:
 
-- **Protein Similarity**: Inferring semantic similarities.
-- **Protein Function**: Predicting ontology-based functions.
-- **Protein Family**: Classifying drug target families.
-- **Protein Affinity**: Estimating binding affinities.
+- **Semantic Similarity Inference**
+- **Ontology-based Function Prediction**
+- **Drug Target Protein Family Classification**
+- **Protein Protein Binding Affinity Estimation**
 
-Submit your own representation models and compare their performance across these tasks. For more details on how to participate, see the submission guidelines at Submit Here! tab. For descriptions of each benchmark and its metrics, please refer to the About tab.
+Submit your own representation models and compare their performance across these benchmarks. For more details on how to participate, see the submission guidelines at Submit Here! tab. For descriptions of each benchmark and its metrics, please refer to the About tab. To visualize results, visit the Visualization tab.
 
 If you find PROBE useful, please consider citing our work: