Adding missing values as -inf in red

app.py

@@ -147,7 +147,7 @@ def update_table_and_plot(
     df = (df.style
           .format(precision=2, thousands=",", decimal=".")
           .highlight_max(props="background-color: lightgreen; color: black;", axis=0, subset=df.columns[1:])
-          .highlight_between(props="color: red;", axis=0, subset=df.columns[1:], left=-np.inf, right=0.0)
+          .highlight_between(props="color: red;", axis=0, subset=df.columns[1:], left=-np.inf, right=-np.inf)
           )
     fig = plot_stats(DATA_PATH, columns=columns, table=df)
     return df, fig
@@ -278,7 +278,7 @@ with demo:
                        .highlight_max(props="background-color: lightgreen; color: black;", axis=0,
                                       subset=cols_to_show[1:])
                        .highlight_between(props="color: red;", axis=0,
-                                          subset=cols_to_show[1:], left=-np.inf, right=0.0)
+                                          subset=cols_to_show[1:], left=-np.inf, right=-np.inf)
                        ),
                 headers=[c.name for c in fields(AutoEvalColumn) if c.never_hidden] + shown_columns.value,
                 datatype=TYPES,

src/leaderboard/read_evals.py

@@ -91,7 +91,7 @@ class EvalResult:
             # We average all scores of a given metric (not all metrics are present in all files)
             accs = np.array([v.get(task.metric, None) for k, v in data["results"].items() if task.benchmark == k])
             if accs.size == 0 or any([acc is None for acc in accs]):
-                accs = np.array([0.0])
+                accs = np.array([-np.inf])
 
             mean_acc = np.mean(accs) * 100.0
             results[task.benchmark] = mean_acc
@@ -126,7 +126,7 @@ class EvalResult:
 
     def to_dict(self):
         """Converts the Eval Result to a dict compatible with our dataframe display"""
-        average = sum([v for v in self.results.values() if v is not None]) / len(Tasks)
+        average = sum([v for v in self.results.values() if v not in (-np.inf, None)]) / len(Tasks)
         data_dict = {
             "eval_name": self.eval_name,  # not a column, just a save name,
             # AutoEvalColumn.precision.name: self.precision.value.name,