Upload adult.py

adult.py

@@ -69,7 +69,7 @@ urls_per_split = {
     "test": "https://huggingface.co/datasets/mstz/adult/raw/main/adult_ts.csv"
 }
 features_types_per_config = {
-    "income": datasets.Features({#"age": datasets.Value("int64"),
+    "income": datasets.Features({"age": datasets.Value("int64"),
                                  "capital_gain": datasets.Value("float64"),
                                  "capital_loss": datasets.Value("float64"),
                                  "education": datasets.Value("int8"),
@@ -158,7 +158,6 @@ class Adult(datasets.GeneratorBasedBuilder):
         ]
     
     def _generate_examples(self, filepath: str):
-        print(f"generating for {filepath}")
         data = pandas.read_csv(filepath)
         data = self.preprocess(data, config=self.config.name)
 
@@ -169,9 +168,7 @@ class Adult(datasets.GeneratorBasedBuilder):
 
     def preprocess(self, data: pandas.DataFrame, config: str = "income") -> pandas.DataFrame:
         data.drop("education", axis="columns", inplace=True)
-        print(data.age.unique())
-        data = data[[#"age",
-                     "capital_gain", "capital_loss", "education-num", "final_weight",
+        data = data[["age", "capital_gain", "capital_loss", "education-num", "final_weight",
                      "hours_per_week", "marital_status", "native_country", "occupation",
                      "race", "relationship", "sex", "workclass", "threshold"]]
         data.columns = _BASE_FEATURE_NAMES[1:]