Update fsdkaggle2019-script.py

fsdkaggle2019-script.py

@@ -115,7 +115,10 @@ class FSDKaggle2019(datasets.GeneratorBasedBuilder):
         _, train_walker = fast_scandir(train_archive_path, extensions, recursive=True)
         _, test_walker = fast_scandir(test_archive_path, extensions, recursive=True)
 
-        train_df = pd.read_csv(os.path.join(metadata_archive_path, "FSDKaggle2019.meta", "train_curated_post_competition.csv"))
+        if self.config.name == 'curated':
+            train_df = pd.read_csv(os.path.join(metadata_archive_path, "FSDKaggle2019.meta", "train_curated_post_competition.csv"))
+        elif self.config.name == 'noisy':
+            train_df = pd.read_csv(os.path.join(metadata_archive_path, "FSDKaggle2019.meta", "train_noisy_post_competition.csv"))
         test_df = pd.read_csv(os.path.join(metadata_archive_path, "FSDKaggle2019.meta", "test_post_competition.csv"))
         
         return [
@@ -132,10 +135,9 @@ class FSDKaggle2019(datasets.GeneratorBasedBuilder):
 
         def default_find_classes(audio_path):
             fileid = Path(audio_path).name
-            assert False, f"{audio_path}"
             ids = metadata_df.query(f'fname=="{fileid}"')['labels'].values.tolist()
             ids = str(ids[0]).split(',')
-            assert False, f"{ids}"
+            # assert False, f"{ids}"
             return ids
 
         for guid, audio_path in enumerate(audio_paths):