Update src/populate.py

src/populate.py

@@ -17,7 +17,7 @@ def get_leaderboard_df(results_path: str, requests_path: str, cols: list, benchm
     df.replace(r'\s+', np.nan, regex=True)
     # filter out if any of the benchmarks have not been produced
     df = df[has_no_nan_values(df, benchmark_cols)]
-    df["eval_name"] = model_hyperlink(df["eval_name"], df["hf_model_id"])
+    df["eval_name"] = f"[{df["eval_name"]}]({df["hf_model_id"]})"
 
     return raw_data, df