Keep empty results

src/leaderboard/read_evals.py

@@ -73,10 +73,14 @@ 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]):
+            # if accs.size == 0 or any([acc is None for acc in accs]):
+            #     continue
+            if accs.size == 0:
                 continue
-
-            mean_acc = np.mean(accs) * 100.0
+            elif any([acc is None for acc in accs]):
+                mean_acc = None
+            else:
+                mean_acc = np.mean(accs) * 100.0
             results[task.benchmark] = mean_acc
 
         return self(