added option to select config and split

app.py

@@ -148,6 +148,7 @@ dataset = st.sidebar.selectbox(
     selectable_datasets,
     index=selectable_datasets.index(default_dataset),
 )
+
 st.experimental_set_query_params(**{"dataset": [dataset]})
 
 dataset_df = dataframe[dataframe.dataset == dataset]
@@ -156,6 +157,22 @@ 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_metrics = list(filter(lambda column: column not in ("model_id", "dataset", "split", "config", "verified"), dataset_df.columns))
 
 dataset_df = dataset_df.filter(["model_id"] + selectable_metrics)