Upload adult.py

adult.py

@@ -12,7 +12,8 @@ _ORIGINAL_FEATURE_NAMES = [
     "age",
     "workclass",
     "final_weight",
-    "education", "education-num",
+    "education",
+    "education-num",
     "marital_status",
     "occupation",
     "relationship",
@@ -63,7 +64,7 @@ _CITATION = """
 }"""
 
 # Dataset info
-_urls_per_split = {
+urls_per_split = {
     "train": "https://huggingface.co/datasets/mstz/adult/raw/main/adult_tr.csv", 
     "test": "https://huggingface.co/datasets/mstz/adult/raw/main/adult_ts.csv"
 }
@@ -148,7 +149,7 @@ class Adult(datasets.GeneratorBasedBuilder):
         return info
     
     def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
-        downloads = dl_manager.download_and_extract(_urls_per_split)
+        downloads = dl_manager.download_and_extract(urls_per_split)
 
         return [
             datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloads["train"]}),
@@ -156,6 +157,7 @@ class Adult(datasets.GeneratorBasedBuilder):
         ]
     
     def _generate_examples(self, filepath: str):
+        print(f"reading from {filepath}")
         data = pandas.read_csv(filepath)
         data = self.preprocess(data, config=self.config.name)
 
@@ -166,6 +168,8 @@ class Adult(datasets.GeneratorBasedBuilder):
             yield row_id, data_row
 
     def preprocess(self, data: pandas.DataFrame, config: str = "income") -> pandas.DataFrame:
+        print(data.columns)
+        print(data.shape)
         data.drop(["education"], inplace=True)
         data = data[["age", "capital_gain", "capital_loss", "education", "final_weight",
                      "hours_per_week", "marital_status", "native_country", "occupation",