add run files

app.py

@@ -80,6 +80,7 @@ def collect_results():
 
 
 def get_leaderboard_df(performance_dict, pretrained_models):
+
     df = list()
     for (pretrained, lang), perfs in performance_dict.items():
         lang_name = LANG_NAME[lang]
@@ -88,10 +89,12 @@ def get_leaderboard_df(performance_dict, pretrained_models):
         afrixnli_direct_perf = perfs.get(AFRIXNLI_DIRECT, 0.0)
         afrixnli_translate_perf = perfs.get(AFRIXNLI_TRANSLATE, 0.0)
 
-        if afrimmlu_direct_perf * afrimmlu_translate_perf * afrixnli_direct_perf * afrixnli_translate_perf == 0:
-            continue
+        # if afrimmlu_direct_perf * afrimmlu_translate_perf * afrixnli_direct_perf * afrixnli_translate_perf == 0:
+        #     continue
+
+        average_divide = [1 if afrimmlu_direct_perf else 0, 1 if afrimmlu_translate_perf else 0, 1 if afrixnli_direct_perf else 0, 1 if afrixnli_translate_perf else 0]
 
-        avg = round((afrimmlu_direct_perf + afrimmlu_translate_perf + afrixnli_direct_perf + afrixnli_translate_perf) / 4, 1)
+        avg = round((afrimmlu_direct_perf + afrimmlu_translate_perf + afrixnli_direct_perf + afrixnli_translate_perf) / sum(average_divide), 1)
         notes = ' '.join([pretrained, lang_name])
         row = [pretrained, lang_name, lang, avg, afrimmlu_direct_perf, afrimmlu_translate_perf, afrixnli_direct_perf, afrixnli_translate_perf, notes]
         df.append(row)