Update audioset.py

audioset.py

@@ -90,14 +90,16 @@ class AudioSet(datasets.GeneratorBasedBuilder):
 
     def _generate_examples(self, archive_path, split=None):
         extensions = ['.wav']
-        
-        test_metadata_csv = f"{_HOMEPAGE}/resolve/main/metadata/eval_segments.csv"
-        if self.config.name == 'balanced':
-            train_metadata_csv = f"{_HOMEPAGE}/resolve/main/metadata/balanced_train_segments.csv"
-        elif self.config.name == 'unbalanced':
-            train_metadata_csv = f"{_HOMEPAGE}/resolve/main/metadata/unbalanced_train_segments.csv"
-        train_metadata_df = self._preprocess_metadata_csv(train_metadata_csv) # ['filename', 'ids']
-        test_metadata_df = self._preprocess_metadata_csv(test_metadata_csv) # ['filename', 'ids']
+
+        if split == 'train':
+            if self.config.name == 'balanced':
+                train_metadata_csv = f"{_HOMEPAGE}/resolve/main/metadata/balanced_train_segments.csv"
+            elif self.config.name == 'unbalanced':
+                train_metadata_csv = f"{_HOMEPAGE}/resolve/main/metadata/unbalanced_train_segments.csv"
+            metadata_df = self._preprocess_metadata_csv(train_metadata_csv) # ['filename', 'ids']
+        elif split == 'test':
+            test_metadata_csv = f"{_HOMEPAGE}/resolve/main/metadata/eval_segments.csv"
+            metadata_df = self._preprocess_metadata_csv(test_metadata_csv) # ['filename', 'ids']
         
         class_labels_indices_df = pd.read_csv(
             f"{_HOMEPAGE}/resolve/main/metadata/class_labels_indices.csv"