error fix

snow-mountain.py

@@ -95,36 +95,42 @@ class Test(datasets.GeneratorBasedBuilder):
     def _split_generators(self, dl_manager):
         
         downloaded_files = dl_manager.download(_FILES[self.config.name])
+        path_to_audios = "/".join(["data/cleaned", self.config.name])
 
         train_splits = [
                 datasets.SplitGenerator(
                     name="train_500",
                     gen_kwargs={
                         "filepath": downloaded_files["train_500"],
+                        "path_to_audios": path_to_audios,
                     },
                 ),
                 datasets.SplitGenerator(
                     name="train_1000",
                     gen_kwargs={
                         "filepath": downloaded_files["train_1000"],
+                        "path_to_audios": path_to_audios,
                     },
                 ),
                 datasets.SplitGenerator(
                     name="train_2500",
                     gen_kwargs={
                         "filepath": downloaded_files["train_2500"],
+                        "path_to_audios": path_to_audios,
                     },
                 ),
                 datasets.SplitGenerator(
                     name="train_short",
                     gen_kwargs={
                         "filepath": downloaded_files["train_short"],
+                        "path_to_audios": path_to_audios,
                     },
                 ),
                 datasets.SplitGenerator(
                     name="train_full",
                     gen_kwargs={
                         "filepath": downloaded_files["train_full"],
+                        "path_to_audios": path_to_audios,
                     },
                 ),
         ]
@@ -134,30 +140,35 @@ class Test(datasets.GeneratorBasedBuilder):
                     name="val_500",
                     gen_kwargs={
                         "filepath": downloaded_files["val_500"],
+                        "path_to_audios": path_to_audios,
                     },
                 ),
                 datasets.SplitGenerator(
                     name="val_1000",
                     gen_kwargs={
                         "filepath": downloaded_files["val_1000"],
+                        "path_to_audios": path_to_audios,
                     },
                 ),
                 datasets.SplitGenerator(
                     name="val_2500",
                     gen_kwargs={
                         "filepath": downloaded_files["val_2500"],
+                        "path_to_audios": path_to_audios,
                     },
                 ),
                 datasets.SplitGenerator(
                     name="val_short",
                     gen_kwargs={
                         "filepath": downloaded_files["val_short"],
+                        "path_to_audios": path_to_audios,
                     },
                 ),
                 datasets.SplitGenerator(
                     name="val_full",
                     gen_kwargs={
                         "filepath": downloaded_files["val_full"],
+                        "path_to_audios": path_to_audios,
                     },
                 ),
         ]
@@ -167,21 +178,21 @@ class Test(datasets.GeneratorBasedBuilder):
                     name="test_common",
                     gen_kwargs={
                         "filepath": downloaded_files["test_common"],
+                        "path_to_audios": path_to_audios,
                     },
                 ),
         ]
         return train_splits + dev_splits + test_splits
 
         
-    def _generate_examples(self, filepath):
+    def _generate_examples(self, filepath, path_to_audios):
         key = 0
-        print("----------------------------------------------")
-        print(os.listdir('data/'))
         with open(filepath) as f:
             data_df = pd.read_csv(f,sep=',')
             transcripts = []
             for index,row in data_df.iterrows():
-                samplerate, audio_data = wavfile.read(row["path"])
+                downloaded_audio = dl_manager.download(row["path"])
+                samplerate, audio_data = wavfile.read(downloaded_audio)
                 yield key, {
                         "sentence": row["sentence"],
                         "path": row["path"],