Replaced google drive with HF Hub as a source for files

feedbackQA.py

@@ -35,13 +35,13 @@ It has two parts: the first part contains a conventional RQA dataset, \
 whilst this repo contains the second part, which contains feedback(ratings and natural language explanations) for QA pairs.
 """
 
-#_URLS = {
-#    "train": "https://cdn-lfs.huggingface.co/datasets/McGill-NLP/FeedbackQA/46bd763229fc603d73f634a312367acb83c3b713a5dfd9fcf8a9b3e310c39a67",
-#    "dev": "https://cdn-lfs.huggingface.co/datasets/McGill-NLP/FeedbackQA/40a93282e5fdee4706c20e32ddd4734151139d67f6844dbcffb9e7be22ae6b8f",
-#    "test": "https://cdn-lfs.huggingface.co/datasets/McGill-NLP/FeedbackQA/50c4a21dc778cf064f731161e2213f21d2951cabd9331a1c524f791055040d02"
-#}
+#_URL = 'https://drive.google.com/uc?export=download&id=14KV6yKgdjzb6fbFzshGuNvEp9zGv_gol'
+_URLS = {
+   "train": "https://huggingface.co/datasets/McGill-NLP/feedbackQA/resolve/main/data/feedback_train.json",
+   "val": "https://huggingface.co/datasets/McGill-NLP/feedbackQA/resolve/main/data/feedback_valid.json",
+   "test": "https://huggingface.co/datasets/McGill-NLP/feedbackQA/resolve/main/data/feedback_test.json"
+}
 
-_URL = 'https://drive.google.com/uc?export=download&id=14KV6yKgdjzb6fbFzshGuNvEp9zGv_gol'
 
 class FeedbackConfig(datasets.BuilderConfig):
     """BuilderConfig for FeedbackQA."""
@@ -91,11 +91,9 @@ class FeedbackQA(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager):
-        downloaded_files_path = dl_manager.download_and_extract(_URL)
-        train_file = os.path.join(downloaded_files_path, 'feedback_train.json')
-        val_file = os.path.join(downloaded_files_path, 'feedback_valid.json')
-        test_file = os.path.join(downloaded_files_path, 'feedback_test.json')
-        print(test_file)
+        train_file = dl_manager.download(_URLS["train"])
+        val_file = dl_manager.download(_URLS["val"])
+        test_file = dl_manager.download(_URLS["test"])
         return [
             datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": train_file}),
             datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": val_file}),
@@ -126,4 +124,4 @@ class FeedbackQA(datasets.GeneratorBasedBuilder):
                                 "explanation": dict_item['feedback'],
                             },
                         }
-                key += 1
+                key += 1