Update app.py

app.py

@@ -103,16 +103,16 @@ def get_leaderboard_df():
     
     data = {
         'Datasets': ['SOTA(FT)', 'SOTA(ZS)', 'FLAN-T5', 'GPT-3', 'GPT-3.5v2', 'GPT-3.5v3', 'ChatGPT', 'GPT-4'],
-        'KQApro': [93.85, 94.20, 37.27, 38.28, 38.01, 40.35, 47.93, 57.20],
-        'LC-quad2': [33.10, '-', 30.14, 33.04, 33.77, 39.04, 42.76, 54.95],
-        'WQSP': [73.10, 62.98, 59.87, 67.68, 72.34, 79.60, 83.70, 90.45],
-        'CWQ': [72.20, '-', 46.69, 51.77, 53.96, 57.54, 64.02, 71.00],
-        'GrailQA': [76.31, '-', 29.02, 27.58, 30.50, 35.43, 46.77, 51.40],
-        'GraphQ': [41.30, '-', 32.27, 38.32, 40.85, 47.95, 53.10, 63.20],
-        'QALD-9': [67.82, '-', 30.17, 38.54, 44.96, 46.19, 45.71, 57.20],
-        'MKQA': [46.00, '-', 20.17, 26.97, 30.14, 39.05, 44.30, 59.20]
+        'KQApro': ['93.85', '94.20', '37.27', '38.28', '38.01', '40.35', '47.93', '57.20'],
+        'LC-quad2': ['33.10', '-', '30.14', '33.04', '33.77', '39.04', '42.76', '54.95'],
+        'WQSP': ['73.10', '62.98', '59.87', '67.68', '72.34', '79.60', '83.70', '90.45'],
+        'CWQ': ['72.20', '-', '46.69', '51.77', '53.96', '57.54', '64.02', '71.00'],
+        'GrailQA': ['76.31', '-', '29.02', '27.58', '30.50', '35.43', '46.77', '51.40'],
+        'GraphQ': ['41.30', '-', '32.27', '38.32', '40.85', '47.95', '53.10', '63.20'],
+        'QALD-9': ['67.82', '-', '30.17', '38.54', '44.96', '46.19', '45.71', '57.20'],
+        'MKQA': ['46.00', '-', '20.17', '26.97', '30.14', '39.05', '44.30', '59.20']
     }
-    
+
     df = pd.DataFrame(data)
     return df