minor update (#49)

- minor fixes (0a08069c71ab86bd2e8d52d58d39d841b936bda4)

app.py

@@ -60,15 +60,6 @@ with gr.Blocks() as block:
                     step=0.1,
                     label="Maximum number of parameters (B)",
                 )
-
-            with gr.Row():
-                tasks_select2 = gr.CheckboxGroup(
-                    choices=v2.COLUMN_NAMES,
-                    value=v2.COLUMN_NAMES,
-                    label="Select tasks to Display",
-                    elem_id="tasks-select"
-                )
-
             data_component2 = gr.components.Dataframe(
                 value=df2[v2.COLUMN_NAMES],
                 headers=v2.COLUMN_NAMES,
@@ -86,22 +77,17 @@ with gr.Blocks() as block:
 
             search_bar2.change(
                 fn=update_with_tasks_v2, 
-                inputs=[search_bar2, min_size_slider2, max_size_slider2, tasks_select2], 
+                inputs=[search_bar2, min_size_slider2, max_size_slider2], 
                 outputs=data_component2
             )
             min_size_slider2.change(
                 fn=update_with_tasks_v2, 
-                inputs=[search_bar2, min_size_slider2, max_size_slider2, tasks_select2], 
+                inputs=[search_bar2, min_size_slider2, max_size_slider2], 
                 outputs=data_component2
             )
             max_size_slider2.change(
                 fn=update_with_tasks_v2, 
-                inputs=[search_bar2, min_size_slider2, max_size_slider2, tasks_select2], 
-                outputs=data_component2
-            )
-            tasks_select2.change(
-                fn=update_with_tasks_v2, 
-                inputs=[search_bar2, min_size_slider2, max_size_slider2, tasks_select2], 
+                inputs=[search_bar2, min_size_slider2, max_size_slider2], 
                 outputs=data_component2
             )
             refresh_button2.click(fn=v2.refresh_data, outputs=data_component2)

utils_v2.py

@@ -97,7 +97,7 @@ def load_scores(raw_scores=None):
                     if modality == 'visdoc':
                         metric = "ndcg_linear@5" if "ndcg_linear@5" in score else "ndcg@5"
                     score = score.get(metric, 0.0)
-                all_scores[dataset] = round(score, 4) * 100.0
+                all_scores[dataset] = round(score * 100.0, 2)
     return all_scores
 
 def calculate_score(raw_scores=None):