Update adult.py

adult.py

@@ -1,5 +1,3 @@
-"""Adult: A Census Dataset"""
-
 from typing import List
 from functools import partial
 
@@ -32,7 +30,7 @@ _BASE_FEATURE_NAMES = [
     "capital_loss",
     "education",
     "final_weight",
-    "hours_per_week",
+    "hours_worked_per_week",
     "marital_status",
     "native_country",
     "occupation",
@@ -212,18 +210,9 @@ class Adult(datasets.GeneratorBasedBuilder):
                 yield row_id, data_row
 
     def encodings(self):
-        data = [pandas.DataFrame([(feature, original_value, encoded_value)
-                                   for original_value, encoded_value in d.items()],
-                                 columns=["feature", "original_value", "encoded_value"])
-                for feature, d in _ENCODING_DICS.items()]
-        data.append(pandas.DataFrame([("race", original_value, encoded_value)
-                                       for original_value, encoded_value in _RACE_ENCODING.items()],
-                    columns=["feature", "original_value", "encoded_value"]))
-        data.append(pandas.DataFrame([("education", original_value, encoded_value)
-                                       for original_value, encoded_value in _EDUCATION_ENCODING.items()],
-                    columns=["feature", "original_value", "encoded_value"]))
-        data = pandas.concat(data, axis="rows").reset_index()
-        data.drop("index", axis="columns", inplace=True)
+        data = pandas.DataFrame([("education", original_value, encoded_value)
+                                 for original_value, encoded_value in _EDUCATION_ENCODING.items()],
+                                columns=["feature", "original_value", "encoded_value"])
 
         return data