Upload arhythmia.py

arhythmia.py

@@ -305,7 +305,7 @@ features_types_per_config = {
         "amplitude_of_t_wave_on_V6": datasets.Value("float64"),
         "qrsa_on_V6": datasets.Value("float64"),
         "qrsta_on_V6": datasets.Value("float64"),
-        "type_of_arhythmia": datasets.ClassLabel(num_classes=17, names=["no_arhythmia"] + [f"arhythmia_of_type_{f}" for f in range(2, 16)] + ["unknown_arhythmia"])
+        "type_of_arhythmia": datasets.ClassLabel(num_classes=13, names=["no_arhythmia"] + [f"arhythmia_of_type_{f}" for f in range(11)] + ["unknown_arhythmia"])
     }
 }
 features_per_config = {k: datasets.Features(features_types_per_config[k]) for k in features_types_per_config}
@@ -354,5 +354,22 @@ class Arrhythmia(datasets.GeneratorBasedBuilder):
                            "is_female": bool})
         if "type_of_arrhythmia" in data.columns:
             data = data.rename(columns={"type_of_arrhythmia": "type_of_arhythmia"})
+        
+        label_encoding = {
+            1: 0,
+            2: 1,
+            3: 2,
+            4: 3,
+            5: 4,
+            6: 5,
+            7: 6,
+            8: 7,
+            9: 8,
+            10: 9,
+            14: 10,
+            15: 11,
+            16: 12,
+        }
+        data.loc[:, "type_of_arhythmia"] = data["type_of_arhythmia"].apply(lambda x: label_encoding[x])
 
         return data[list(features_types_per_config[config].keys())]