bugfix

app.py

@@ -158,6 +158,8 @@ st.experimental_set_query_params(**{"dataset": [dataset]})
 dataset_df = dataframe[dataframe.dataset == dataset]
 dataset_df = dataset_df.dropna(axis="columns", how="all")
 
+selectable_metrics = list(filter(lambda column: column not in ("model_id", "dataset", "split", "config"), dataset_df.columns))
+
 if len(dataset_df) > 0:
 
     selectable_configs = list(set(dataset_df["config"]))
@@ -174,8 +176,6 @@ if len(dataset_df) > 0:
     )
     dataset_df = dataset_df[dataset_df.split == split]
 
-    selectable_metrics = list(filter(lambda column: column not in ("model_id", "dataset", "split", "config"), dataset_df.columns))
-
     dataset_df = dataset_df.filter(["model_id"] + selectable_metrics)
     dataset_df = dataset_df.dropna(thresh=2)  # Want at least two non-na values (one for model_id and one for a metric).