plot descriptions

app.py

@@ -145,6 +145,12 @@ descriptions = {
     Note the difference between embeddings of generated tasks and repository signatures (which contain them)
     """,
     "READMEs": """
+    """,
+    "task_counts_description": """
+    PapersWithCode tasks are grouped by areas. In the following plots we can see overall distribution of area given tasks, and the distribution in repository subset that will be used for visualization.
+
+    Below we can also see embeddings of task names with MPNet after dimensionality reduction with UMAP.
+    MPNet, a sentence-transformer model, the embeddings visibly separate tasks by area.
     """
 }
 
@@ -168,7 +174,7 @@ with gr.Blocks() as demo:
         setup_repository_representations_tab(repos, representation_types)
     with gr.Tab("Explore PapersWithCode Tasks"):
 
-        gr.Markdown(task_counts_description)
+        gr.Markdown(descriptions["task_counts_description"])
 
         with gr.Row():
             min_task_counts_slider_all = gr.Slider(