Rename model link column

src/display/utils.py

@@ -50,7 +50,7 @@ auto_eval_column_dict.append(["dummy", ColumnContent, ColumnContent("model_name_
 
 auto_eval_column_dict.append(["eval_name", ColumnContent, ColumnContent("Model", "markdown", True, never_hidden=True)])
 auto_eval_column_dict.append(["precision", ColumnContent, ColumnContent("Precision", "str", True)])
-auto_eval_column_dict.append(["hf_model_id", ColumnContent, ColumnContent("Model link (temporary)", "str", False)])
+auto_eval_column_dict.append(["hf_model_id", ColumnContent, ColumnContent("Model URL", "str", False)])
 auto_eval_column_dict.append(["agree_cs", ColumnContent, ColumnContent("AGREE", "number", True)])
 auto_eval_column_dict.append(["anli_cs", ColumnContent, ColumnContent("ANLI", "number", True)])
 auto_eval_column_dict.append(["arc_challenge_cs", ColumnContent, ColumnContent("ARC-Challenge", "number", True)])

src/populate.py

@@ -9,6 +9,13 @@ from src.display.utils import AutoEvalColumn, EvalQueueColumn, HEADER_MAP
 from src.leaderboard.read_evals import get_raw_eval_results
 
 
+def add_model_hyperlinks(row):
+    if row["Model URL"] is None or row["Model URL"] == "":
+        return row["Model"]
+    else:
+        return model_hyperlink(row["Model URL"], row["Model"])
+
+
 def get_leaderboard_df(results_path: str, requests_path: str, cols: list, benchmark_cols: list) -> pd.DataFrame:
     raw_data = get_raw_eval_results(results_path, requests_path)
     #all_data_json = [v.to_dict() for v in raw_data]
@@ -19,7 +26,7 @@ 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['Model'] = df.apply(lambda row: model_hyperlink(row['Model URL'], row['Model']), axis=1)
+    df['Model'] = df.apply(add_model_hyperlinks, axis=1)
     
     return raw_data, df