Update src/leaderboard/read_evals.py

src/leaderboard/read_evals.py

@@ -90,6 +90,7 @@ class EvalResult:
             mean_acc = np.mean(accs) if len(accs) > 0 else 0
             results[task.benchmark] = mean_acc
             if task.benchmark == "CLCC-H":
+                print("results[task.benchmark]: ", results[task.benchmark])
                 results[task.benchmark] = results[task.benchmark] * 100
 
         return self(
@@ -129,7 +130,16 @@ 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 is not None]) / len(Tasks)
+        
+        average = 0
+        nums = 0
+        for v in self.results.values():
+            if v is not None and v != 0:
+                average += v
+                nums += 1
+        average = average/nums
+        
         data_dict = {
             "eval_name": self.eval_name,  # not a column, just a save name,
             AutoEvalColumn.precision.name: self.precision.value.name,