Fix dataset loading script

wine-quality.py

@@ -1,31 +1,25 @@
-from datasets import DatasetBuilder, Csv
-import os
 import csv
+import os
+import pandas as pd
+from datasets import GeneratorBasedBuilder, DatasetInfo, SplitGenerator, Split
 
-
-class WineQuality(DatasetBuilder):
+class WineQuality(GeneratorBasedBuilder):
     VERSION = "1.0.0"
-    BUILDER_CONFIG_CLASS = Csv.BuilderConfig
-    BUILDER_CONFIGS = [
-        Csv.BuilderConfig(name="winequality-red", version=VERSION, delimiter=";", encoding="utf-8"),
-        Csv.BuilderConfig(name="winequality-white", version=VERSION, delimiter=";", encoding="utf-8"),
-    ]
 
     def _info(self):
-        return datasets.DatasetInfo(
-            description="This is the dataset of Wine Quality, including two kinds: red and white"
-    	)
+        return DatasetInfo(
+            description="This is the dataset of Wine Quality, it consists of two parts: red and white"
+        )
 
     def _split_generators(self, dl_manager):
-        return [
-            datasets.SplitGenerator(name="red", gen_kwargs={"filepath": os.path.join(self.config.data_dir, "winequality-red.csv")}),
-            datasets.SplitGenerator(name="white", gen_kwargs={"filepath": os.path.join(self.config.data_dir, "winequality-white.csv")}),
-        ]
+        if self.config.name == "red":
+            return [datasets.SplitGenerator(name="red", gen_kwargs={"filepath": os.path.join(dl_manager.dataset_dir, "winequality-red.csv")})]
+        elif self.config.name == "white":
+            return [datasets.SplitGenerator(name="white", gen_kwargs={"filepath": os.path.join(dl_manager.dataset_dir, "winequality-white.csv")})]
+        else:
+            raise NotImplementedError("This builder config is not implemented.")
 
     def _generate_examples(self, filepath):
-        with open(filepath, encoding="utf-8") as f:
-            data = csv.DictReader(f)
-            for id_, row in enumerate(data):
-                yield id_, row
-
-    
+        df = pd.read_csv(filepath_path, delimiter=";")
+        for id_, row in df.iterrows():
+            yield id_, row.to_dict()