Update sentiment_digikala_snappfood.py

sentiment_digikala_snappfood.py

@@ -7,10 +7,11 @@ _DESCRIPTION = """\
 Sentiment analysis dataset extracted and labeled from Digikala and Snapp Food comments
 """
 
-_DOWNLOAD_URLS = [
-    "https://huggingface.co/datasets/hezar-ai/sentiment_digikala_snappfood/blob/main/sentiment_digikala_snappfood_train.csv",
-    "https://huggingface.co/datasets/hezar-ai/sentiment_digikala_snappfood/blob/main/sentiment_digikala_snappfood_test.csv"
-    ]
+_DOWNLOAD_URLS = {
+
+    "train": "https://huggingface.co/datasets/hezar-ai/sentiment_digikala_snappfood/blob/main/sentiment_digikala_snappfood_train.csv",
+    "test": "https://huggingface.co/datasets/hezar-ai/sentiment_digikala_snappfood/blob/main/sentiment_digikala_snappfood_test.csv"
+}
 
 
 class SentimentDigikalaSnappfoodConfig(datasets.BuilderConfig):
@@ -46,8 +47,8 @@ class SentimentDigikalaSnappfood(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager):
-        train_path = dl_manager.download_and_extract(_TRAIN_DOWNLOAD_URL)
-        test_path = dl_manager.download_and_extract(_TEST_DOWNLOAD_URL)
+        train_path = dl_manager.download_and_extract(_DOWNLOAD_URLS["train"])
+        test_path = dl_manager.download_and_extract(_DOWNLOAD_URLS["test"])
         return [
             datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": train_path}),
             datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": test_path}),