update

src/leaderboard/read_evals.py

@@ -74,7 +74,7 @@ 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]):
-            if accs.size == 0 or any([acc is None for acc in accs]):
+            if accs.size == 0:
                 continue
             print(accs)
             mean_acc = np.nanmean(accs) * 100.0