removed requirement to be from autoeval org

app.py

@@ -158,19 +158,21 @@ st.experimental_set_query_params(**{"dataset": [dataset]})
 dataset_df = dataframe[dataframe.dataset == dataset]
 dataset_df = dataset_df.dropna(axis="columns", how="all")
 
-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]
+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"), dataset_df.columns))