norm code

chest_falsetto.py

@@ -3,13 +3,13 @@ import random
 import datasets
 from datasets.tasks import AudioClassification
 
-_GENDER = ['female', 'male']
-_CF = ['falsetto', 'chest']
-_NAMES = ['m_chest', 'f_chest', 'm_falsetto', 'f_falsetto']
-
-_DBNAME = os.path.basename(__file__).split('.')[0]
+_NAMES = {
+    'all': ['m_chest', 'f_chest', 'm_falsetto', 'f_falsetto'],
+    'gender': ['female', 'male'],
+    'method': ['falsetto', 'chest']
+}
 
-_HOMEPAGE = f"https://huggingface.co/datasets/ccmusic-database/{_DBNAME}"
+_HOMEPAGE = f"https://huggingface.co/datasets/ccmusic-database/{os.path.basename(__file__).split('.')[0]}"
 
 _CITATION = """\
 @dataset{zhaorui_liu_2021_5676893,
@@ -41,9 +41,9 @@ class chest_falsetto(datasets.GeneratorBasedBuilder):
                 {
                     "audio": datasets.Audio(sampling_rate=44_100),
                     "image": datasets.Image(),
-                    "label": datasets.features.ClassLabel(names=_NAMES),
-                    "gender": datasets.features.ClassLabel(names=_GENDER),
-                    "singing_method": datasets.features.ClassLabel(names=_CF),
+                    "label": datasets.features.ClassLabel(names=_NAMES['all']),
+                    "gender": datasets.features.ClassLabel(names=_NAMES['gender']),
+                    "singing_method": datasets.features.ClassLabel(names=_NAMES['method']),
                 }
             ),
             supervised_keys=("audio", "label"),
@@ -66,18 +66,8 @@ class chest_falsetto(datasets.GeneratorBasedBuilder):
         dataset = []
 
         for path in files:
-            file_name = os.path.basename(path)
-            if file_name.endswith(".wav"):
-                sex = file_name.split('_')[1]
-                gender = 'male' if sex == 'm' else 'female'
-                method = file_name.split('_')[2][:-4]
-                dataset.append({
-                    "audio": path,
-                    "image": path.replace('.wav', '.jpg').replace('/audio/', '/image/').replace('\\audio\\', '\\image\\'),
-                    "label": f'{sex}_{method}',
-                    "gender": gender,
-                    "singing_method": method,
-                })
+            if path.endswith(".wav"):
+                dataset.append(path)
 
         random.shuffle(dataset)
         data_count = len(dataset)
@@ -107,4 +97,14 @@ class chest_falsetto(datasets.GeneratorBasedBuilder):
 
     def _generate_examples(self, files):
         for i, path in enumerate(files):
-            yield i, path
+            file_name = os.path.basename(path)
+            sex = file_name.split('_')[1]
+            gender = 'male' if sex == 'm' else 'female'
+            method = file_name.split('_')[2][:-4]
+            yield i, {
+                "audio": path,
+                "image": path.replace('.wav', '.jpg').replace('/audio/', '/image/').replace('\\audio\\', '\\image\\'),
+                "label": f'{sex}_{method}',
+                "gender": gender,
+                "singing_method": method,
+            }