Upload sonar.py

sonar.py

@@ -21,7 +21,7 @@ urls_per_split = {
 features_types_per_config = {
     "sonar": {str(i): datasets.Value("float32") for i in range(60)}
 }
-features_types_per_config["sonar"]["60"] = datasets.ClassLabel(num_classes=2)
+features_types_per_config["sonar"]["is_rock"] = datasets.ClassLabel(num_classes=2)
 features_per_config = {k: datasets.Features(features_types_per_config[k]) for k in features_types_per_config}
 
 
@@ -58,7 +58,7 @@ class Sonar(datasets.GeneratorBasedBuilder):
     
     def _generate_examples(self, filepath: str):
         data = pandas.read_csv(filepath, header=None)
-        data.columns = [str(i) for i in range(61)]
+        data.columns = [str(i) for i in range(60)] + ["is_rock"]
         data = self.preprocess(data, config=self.config.name)
 
         for row_id, row in data.iterrows():
@@ -67,6 +67,6 @@ class Sonar(datasets.GeneratorBasedBuilder):
             yield row_id, data_row
 
     def preprocess(self, data: pandas.DataFrame, config: str = DEFAULT_CONFIG) -> pandas.DataFrame:
-        data.loc[:, "60"] = data["60"].apply(lambda x: 1 if x == "R" else 0)
+        data.loc[:, "is_rock"] = data["is_rock"].apply(lambda x: 1 if x == "R" else 0)
         
         return data