Upload arrhythmia.py

arrhythmia.py

@@ -8,7 +8,7 @@ import pandas
 
 VERSION = datasets.Version("1.0.0")
 
-DESCRIPTION = "Arrhytmia dataset from the UCI ML repository."
+DESCRIPTION = "Arhythmia dataset from the UCI ML repository."
 _HOMEPAGE = "https://archive-beta.ics.uci.edu/dataset/5/arrhythmia"
 _URLS = ("https://archive-beta.ics.uci.edu/dataset/5/arrhythmia")
 _CITATION = """
@@ -304,7 +304,7 @@ 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_arrhytmia": datasets.ClassLabel(num_classes=16)
+        "type_of_arhythmia": datasets.ClassLabel(num_classes=16, names=["no_arhytmia"] + ["arhytmia_of_type_{f}" for f in range(2, 15)] + ["unknown_arhytmia"])
     }
 }
 features_per_config = {k: datasets.Features(features_types_per_config[k]) for k in features_types_per_config}
@@ -318,10 +318,10 @@ class ArrhythmiaConfig(datasets.BuilderConfig):
 
 class Arrhythmia(datasets.GeneratorBasedBuilder):
     # dataset versions
-    DEFAULT_CONFIG = "arrhytmia"
+    DEFAULT_CONFIG = "arhythmia"
     BUILDER_CONFIGS = [
-        ArrhythmiaConfig(name="arrhytmia",
-                    description="Multiclass classification of arrhytmia type."),
+        ArrhythmiaConfig(name="arhythmia",
+                    description="Multiclass classification of arhythmia type."),
     ]