handle empty results

src/populate.py

@@ -3,6 +3,7 @@ import os
 
 import pandas as pd
 from datasets import load_dataset, get_dataset_config_names
+from datasets.exceptions import DatasetNotFoundError
 from tqdm.auto import tqdm
 
 from src.display.formatting import has_no_nan_values, make_clickable_model
@@ -17,7 +18,20 @@ logger = get_logger(__name__)
 def get_leaderboard_df(results_dataset_name: str) -> pd.DataFrame:
     """Creates a dataframe from all the individual experiment results"""
 
-    configs = get_dataset_config_names(results_dataset_name, token=TOKEN)
+    try:
+        configs = get_dataset_config_names(results_dataset_name, token=TOKEN)
+    except (DatasetNotFoundError, FileNotFoundError):
+        # Return an empty DataFrame with expected columns
+        return pd.DataFrame(
+            columns=[
+                "System Name",
+                "System Type",
+                "Organization",
+                "Success Rate (%)",
+                "Problems Solved",
+                "Submitted On",
+            ]
+        )
 
     rows = []
     for submission_id in tqdm(configs, total=len(configs), desc="Processing Submission Results"):