Log df shape

src/populate.py

@@ -44,6 +44,9 @@ def get_leaderboard_df(results_path: str, requests_path: str, cols: list, benchm
     # # filter out if any of the benchmarks have not been produced
     # df = df[has_no_nan_values(df, benchmark_cols)]
 
+    # TMP: Log
+    print(df.shape)
+
     # make values clickable and link to log files
     for col in benchmark_cols:
         df[col] = df[[AutoEvalColumn.model.name, col]].apply(lambda x: f"[{x[col]}]({get_inspect_log_url(model_name=x[AutoEvalColumn.model.name].split('>')[1].split('<')[0], benchmark_name=TASK_NAME_INVERSE_MAP[col]['name'])})" if x[col] is not None else "-", axis=1)