error fix

snow-mountain.py

@@ -102,35 +102,35 @@ class Test(datasets.GeneratorBasedBuilder):
                     name="train_500",
                     gen_kwargs={
                         "filepath": downloaded_files["train_500"],
-                        "path_to_audios": path_to_audios,
+                        "dl_manager": dl_manager,
                     },
                 ),
                 datasets.SplitGenerator(
                     name="train_1000",
                     gen_kwargs={
                         "filepath": downloaded_files["train_1000"],
-                        "path_to_audios": path_to_audios,
+                        "dl_manager": dl_manager,
                     },
                 ),
                 datasets.SplitGenerator(
                     name="train_2500",
                     gen_kwargs={
                         "filepath": downloaded_files["train_2500"],
-                        "path_to_audios": path_to_audios,
+                        "dl_manager": dl_manager,
                     },
                 ),
                 datasets.SplitGenerator(
                     name="train_short",
                     gen_kwargs={
                         "filepath": downloaded_files["train_short"],
-                        "path_to_audios": path_to_audios,
+                        "dl_manager": dl_manager,
                     },
                 ),
                 datasets.SplitGenerator(
                     name="train_full",
                     gen_kwargs={
                         "filepath": downloaded_files["train_full"],
-                        "path_to_audios": path_to_audios,
+                        "dl_manager": dl_manager,
                     },
                 ),
         ]
@@ -140,35 +140,35 @@ class Test(datasets.GeneratorBasedBuilder):
                     name="val_500",
                     gen_kwargs={
                         "filepath": downloaded_files["val_500"],
-                        "path_to_audios": path_to_audios,
+                        "dl_manager": dl_manager,
                     },
                 ),
                 datasets.SplitGenerator(
                     name="val_1000",
                     gen_kwargs={
                         "filepath": downloaded_files["val_1000"],
-                        "path_to_audios": path_to_audios,
+                        "dl_manager": dl_manager,
                     },
                 ),
                 datasets.SplitGenerator(
                     name="val_2500",
                     gen_kwargs={
                         "filepath": downloaded_files["val_2500"],
-                        "path_to_audios": path_to_audios,
+                        "dl_manager": dl_manager,
                     },
                 ),
                 datasets.SplitGenerator(
                     name="val_short",
                     gen_kwargs={
                         "filepath": downloaded_files["val_short"],
-                        "path_to_audios": path_to_audios,
+                        "dl_manager": dl_manager,
                     },
                 ),
                 datasets.SplitGenerator(
                     name="val_full",
                     gen_kwargs={
                         "filepath": downloaded_files["val_full"],
-                        "path_to_audios": path_to_audios,
+                        "dl_manager": dl_manager,
                     },
                 ),
         ]
@@ -178,14 +178,14 @@ class Test(datasets.GeneratorBasedBuilder):
                     name="test_common",
                     gen_kwargs={
                         "filepath": downloaded_files["test_common"],
-                        "path_to_audios": path_to_audios,
+                        "dl_manager": dl_manager,
                     },
                 ),
         ]
         return train_splits + dev_splits + test_splits
 
         
-    def _generate_examples(self, filepath, path_to_audios):
+    def _generate_examples(self, filepath, dl_manager):
         key = 0
         with open(filepath) as f:
             data_df = pd.read_csv(f,sep=',')