update

src/leaderboard/read_evals.py

@@ -89,9 +89,9 @@ 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])
             
-	    for k, v in data["results"].items():
+            for k, v in data["results"].items():
                 print("k,v,benchmark,metic",k,v, task.benchmark,task.metric)
-		if task.benchmark == k:
+                if task.benchmark == k:
                     print(v.get(task.metric, None))
             print("accs", accs)
             if accs.size == 0 or any([acc is None for acc in accs]):