Update fsdkaggle2019-script.py

fsdkaggle2019-script.py

@@ -17,6 +17,15 @@ from ._fsd2019 import CLASSES
 SAMPLE_RATE = 44_100
 
 _TRAIN_CURATED_URL = "https://zenodo.org/records/3612637/files/FSDKaggle2019.audio_train_curated.zip"
+_TRAIN_NOISY_URLS = [
+    "https://zenodo.org/records/3612637/files/FSDKaggle2019.audio_train_noisy.z01", 
+    "https://zenodo.org/records/3612637/files/FSDKaggle2019.audio_train_noisy.z02", 
+    "https://zenodo.org/records/3612637/files/FSDKaggle2019.audio_train_noisy.z03", 
+    "https://zenodo.org/records/3612637/files/FSDKaggle2019.audio_train_noisy.z04", 
+    "https://zenodo.org/records/3612637/files/FSDKaggle2019.audio_train_noisy.z05", 
+    "https://zenodo.org/records/3612637/files/FSDKaggle2019.audio_train_noisy.z06", 
+    "https://zenodo.org/records/3612637/files/FSDKaggle2019.audio_train_noisy.zip"
+]
 _TEST_URL = "https://zenodo.org/records/3612637/files/FSDKaggle2019.audio_test.zip"
 _METADATA_URL = "https://zenodo.org/records/3612637/files/FSDKaggle2019.meta.zip"
 
@@ -44,6 +53,18 @@ class FSDKaggle2019(datasets.GeneratorBasedBuilder):
             name="curated", 
             description="",
         ), 
+        FSDKaggle2019Config(
+            features=datasets.Features(
+                {
+                    "file": datasets.Value("string"),
+                    "audio": datasets.Audio(sampling_rate=SAMPLE_RATE),
+                    "sound": datasets.Sequence(datasets.Value("string")),
+                    "label": datasets.Sequence(datasets.features.ClassLabel(names=CLASSES)),
+                }
+            ),
+            name="noisy", 
+            description="",
+        ), 
     ]
 
     def _info(self):
@@ -58,7 +79,11 @@ class FSDKaggle2019(datasets.GeneratorBasedBuilder):
 
     def _split_generators(self, dl_manager):
         """Returns SplitGenerators."""
-        train_archive_path = dl_manager.download_and_extract(_TRAIN_CURATED_URL)
+        if self.config.name == 'curated':
+            train_archive_path = dl_manager.download_and_extract(_TRAIN_CURATED_URL)
+        elif self.config.name == 'noisy':
+            train_archive_paths = dl_manager.download(_TRAIN_NOISY_URLS)
+            assert False, f'{train_archive_paths}'
         test_archive_path = dl_manager.download_and_extract(_TEST_URL)
         metadata_archive_path = dl_manager.download_and_extract(_METADATA_URL)