Upload adult.py

adult.py

@@ -8,7 +8,7 @@ import pandas
 
 
 VERSION = datasets.Version("1.0.0")
-__ORIGINAL_FEATURE_NAMES = [
+_ORIGINAL_FEATURE_NAMES = [
     "age",
     "workclass",
     "final_weight",
@@ -24,7 +24,7 @@ __ORIGINAL_FEATURE_NAMES = [
     "native_country",
     "threshold"
 ]
-__BASE_FEATURE_NAMES = [
+_BASE_FEATURE_NAMES = [
     "age",
     "capital_gain",
     "capital_loss",
@@ -40,10 +40,10 @@ __BASE_FEATURE_NAMES = [
     "workclass",
     "threshold",
 ]
-__DESCRIPTION = "Adult dataset from the UCI ML repository."
-__HOMEPAGE = "https://archive.ics.uci.edu/ml/datasets/Adult"
-__URLS = ("https://huggingface.co/datasets/mstz/adult/raw/adult.csv")
-__CITATION = """
+DESCRIPTION = "Adult dataset from the UCI ML repository."
+_HOMEPAGE = "https://archive.ics.uci.edu/ml/datasets/Adult"
+_URLS = ("https://huggingface.co/datasets/mstz/adult/raw/adult.csv")
+_CITATION = """
 @inproceedings{DBLP:conf/kdd/Kohavi96,
   author    = {Ron Kohavi},
   editor    = {Evangelos Simoudis and
@@ -63,7 +63,7 @@ __CITATION = """
 }"""
 
 # Dataset info
-__urls_per_split = {
+_urls_per_split = {
     "train": "https://huggingface.co/datasets/mstz/adult/raw/adult_tr.csv", 
     "test": "https://huggingface.co/datasets/mstz/adult/raw/adult_ts.csv"
 }
@@ -142,13 +142,13 @@ class Adult(datasets.GeneratorBasedBuilder):
         if self.config.name not in features_per_config:
             raise ValueError(f"Unknown configuration: {self.config.name}")
         
-        info = datasets.DatasetInfo(description=__DESCRIPTION, citation=__CITATION, homepage=__HOMEPAGE,
+        info = datasets.DatasetInfo(description=DESCRIPTION, citation=_CITATION, homepage=_HOMEPAGE,
                                     features=features_per_config[self.config.name])
 
         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"]}),
@@ -170,7 +170,7 @@ class Adult(datasets.GeneratorBasedBuilder):
         data = data[["age", "capital_gain", "capital_loss", "education", "final_weight",
                      "hours_per_week", "marital_status", "native_country", "occupation",
                      "race", "relationship", "sex", "workclass", "threshold"]]
-        data.columns = __BASE_FEATURE_NAMES
+        data.columns = _BASE_FEATURE_NAMES
         
         return data