Update src/about.py

src/about.py

@@ -124,16 +124,16 @@ If you find PROBE useful, please consider citing our work:
 Unsal, S., Atas, H., Albayrak, M., Turhan, K., Acar, A. C., & Doğan, T. (2022). Learning functional properties of proteins with language models. *Nature Machine Intelligence, 4*(3), 227-245.
 """
 
-TASK_INFO = ["Semantic Similarity", "GO-Based Function Prediction", "Target Protein Family Prediction", "Protein Protein Binding Affinity"]
+TASK_INFO = ["Semantic Similarity Inference", "Ontology-based Protein Function Prediction", "Drug Target Protein Family Classification", "Protein-Protein Binding Affinity Estimation"]
 similarity_tasks_options = ["Sparse Uniform", "Well Annotated 200", "Well Annotated 500"]
 function_prediction_aspect_options = ["Molecular Function", "Biological Process", "Celular Components", "All Aspects"]
 family_prediction_dataset_options = ["Not-clustered", "UniClust50", "UniClust30", "MM-seqs15"]
 
 benchmark_type_map = {
-    "Semantic Similarity":                  "similarity",
-    "GO-Based Function Prediction":         "function",
-    "Target Protein Family Prediction":     "family",
-    "Protein Protein Binding Affinity":     "affinity",
+    "Semantic Similarity Inference":                  "similarity",
+    "Ontology-based Function Prediction":         "function",
+    "Drug Target Protein Family Classification":     "family",
+    "Protein Protein Binding Affinity Estimation":     "affinity",
 }
 
 similarity_tasks_map = {