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README.md

@@ -1,19 +1,2 @@
----
-language:
-- {en}
-tags:
-- {adult}
-- {tabular_classification}
-- {binary_classification}
-pretty_name: {Adult}
-size_categories:
-- {10K<n<100K}
-task_categories:  # Full list at https://github.com/huggingface/hub-docs/blob/main/js/src/lib/interfaces/Types.ts
-- {tabular-classification}
-configs:
-- {income}
-- {income-no race}
-- {race}
-
 # Adult
 Testing the dataset.

adult.py

@@ -169,13 +169,14 @@ class Adult(datasets.GeneratorBasedBuilder):
         # binarize features
         data.loc[:, "sex"] = data.sex.apply(self.encode_sex)
         
-        match config:
-            case "income":
-                return self.income_preprocessing(data)
-            case "income-no race":
-                return self.income_norace_preprocessing(data)
-            case "race":
-                return self.race_preprocessing(data)
+        if config == "income":
+            return self.income_preprocessing(data)
+        elif config == "income-no race":
+            return self.income_norace_preprocessing(data)
+        elif config =="race":
+            return self.race_preprocessing(data)
+        else:
+            raise ValueError(f"Unknown config: {config}")
     
     def income_preprocessing(self, data: pandas.DataFrame) -> pandas.DataFrame:
         data = data[list(features_types_per_config["income"].keys())]