added option to select config and split

app.py

@@ -157,21 +157,19 @@ dataset_df = dataset_df.dropna(axis="columns", how="all")
 if only_verified_results:
     dataset_df = dataset_df[dataset_df["verified"]]
 
-if "config" in dataset_df.columns:
-    selectable_configs = list(set(dataset_df["config"]))
-    config = st.sidebar.selectbox(
-        "Config",
-        selectable_configs,
-    )
-    dataset_df = dataset_df[dataset_df.config == config]
-
-if "split" in dataset_df.columns:
-    selectable_splits = list(set(dataset_df["split"]))
-    split = st.sidebar.selectbox(
-        "Split",
-        selectable_splits,
-    )
-    dataset_df = dataset_df[dataset_df.split == split]
+selectable_configs = list(set(dataset_df["config"]))
+config = st.sidebar.selectbox(
+    "Config",
+    selectable_configs,
+)
+dataset_df = dataset_df[dataset_df.config == config]
+
+selectable_splits = list(set(dataset_df["split"]))
+split = st.sidebar.selectbox(
+    "Split",
+    selectable_splits,
+)
+dataset_df = dataset_df[dataset_df.split == split]
 
 selectable_metrics = list(filter(lambda column: column not in ("model_id", "dataset", "split", "config", "verified"), dataset_df.columns))