Update gtzan.py

gtzan.py

@@ -9,6 +9,103 @@ GENRES = [
     "jazz", "metal", "pop", "reggae", "rock"
 ]
 EXTENSION = '.au'
+
+
+class GTZAN(datasets.GeneratorBasedBuilder):
+    """
+    The partitioning of GTZAN is "fault-filtered", 
+    which is constructed by hand to include 443/197/290 excerpts [1].
+
+    References
+    ----------
+    [1] https://arxiv.org/pdf/1507.04761.pdf
+    """
+    def _info(self):
+        return datasets.DatasetInfo(
+            description='Music genre classification dataset',
+            features=datasets.Features(
+                {
+                    "filepath": datasets.Value("string"), 
+                    "audio": datasets.Audio(sampling_rate=SAMPLE_RATE), 
+                    "genre": datasets.ClassLabel(names=GENRES), 
+                }
+            ),
+        )
+
+    def _split_generators(self, dl_manager):
+        data_dir = dl_manager.download_and_extract("gtzan.tar.gz")
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN, 
+                gen_kwargs={
+                    "data_dir": data_dir, 
+                    "split": 'train'
+                },
+            ), 
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION, 
+                gen_kwargs={
+                    "data_dir": data_dir, 
+                    "split": 'validation'
+                },
+            ), 
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST, 
+                gen_kwargs={
+                    "data_dir": data_dir, 
+                    "split": 'test'
+                },
+            )
+        ]
+
+    def _generate_examples(self, data_dir, split):
+        _, _walker = fast_scandir(data_dir, [EXTENSION], recursive=True)
+        if split == 'train':
+            _walker = [fileid for fileid in _walker if Path(fileid).stem in FILTERED_TRAIN]
+        elif split == 'validation':
+            _walker = [fileid for fileid in _walker if Path(fileid).stem in FILTERED_VALID]
+        elif split == 'test':
+            _walker = [fileid for fileid in _walker if Path(fileid).stem in FILTERED_TEST]
+
+        for idx, fileid in enumerate(_walker):
+            yield idx, {
+                'filepath': fileid, 
+                'audio': fileid, 
+                'genre': default_find_classes(fileid)
+            }
+
+
+def default_find_classes(audio_path):
+    return Path(audio_path).parent.stem
+
+
+def fast_scandir(path: str, exts: tp.List[str], recursive: bool = False):
+    # Scan files recursively faster than glob
+    # From github.com/drscotthawley/aeiou/blob/main/aeiou/core.py
+    subfolders, files = [], []
+
+    try:  # hope to avoid 'permission denied' by this try
+        for f in os.scandir(path):
+            try:  # 'hope to avoid too many levels of symbolic links' error
+                if f.is_dir():
+                    subfolders.append(f.path)
+                elif f.is_file():
+                    if os.path.splitext(f.name)[1].lower() in exts:
+                        files.append(f.path)
+            except Exception:
+                pass
+    except Exception:
+        pass
+
+    if recursive:
+        for path in list(subfolders):
+            sf, f = fast_scandir(path, exts, recursive=recursive)
+            subfolders.extend(sf)
+            files.extend(f)  # type: ignore
+
+    return subfolders, files
+
+
 FILTERED_TEST = [
     "blues.00012",
     "blues.00013",
@@ -944,99 +1041,4 @@ FILTERED_VALID = [
     "rock.00083",
     "rock.00084",
     "rock.00085",
-]
-
-
-class GTZAN(datasets.GeneratorBasedBuilder):
-    """
-    The partitioning of GTZAN is "fault-filtered", 
-    which is constructed by hand to include 443/197/290 excerpts [1].
-
-    References
-    ----------
-    [1] https://arxiv.org/pdf/1507.04761.pdf
-    """
-    def _info(self):
-        return datasets.DatasetInfo(
-            description='Music genre classification dataset',
-            features=datasets.Features(
-                {
-                    "filepath": datasets.Value("string"), 
-                    "audio": datasets.Audio(sampling_rate=SAMPLE_RATE), 
-                    "genre": datasets.ClassLabel(names=GENRES), 
-                }
-            ),
-        )
-
-    def _split_generators(self, dl_manager):
-        data_dir = dl_manager.download_and_extract("genres.tar.gz")
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN, 
-                gen_kwargs={
-                    "data_dir": data_dir, 
-                    "split": 'train'
-                },
-            ), 
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION, 
-                gen_kwargs={
-                    "data_dir": data_dir, 
-                    "split": 'validation'
-                },
-            ), 
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST, 
-                gen_kwargs={
-                    "data_dir": data_dir, 
-                    "split": 'test'
-                },
-            )
-        ]
-
-    def _generate_examples(self, data_dir, split):
-        _, _walker = fast_scandir(data_dir, [EXTENSION], recursive=True)
-        if split == 'train':
-            _walker = [fileid for fileid in _walker if Path(fileid).stem in FILTERED_TRAIN]
-        elif split == 'validation':
-            _walker = [fileid for fileid in _walker if Path(fileid).stem in FILTERED_VALID]
-        elif split == 'test':
-            _walker = [fileid for fileid in _walker if Path(fileid).stem in FILTERED_TEST]
-
-        for idx, fileid in enumerate(_walker):
-            yield idx, {
-                'filepath': fileid, 
-                'audio': fileid, 
-                'genre': default_find_classes(fileid)
-            }
-
-
-def default_find_classes(audio_path):
-    return Path(audio_path).parent.stem
-
-
-def fast_scandir(path: str, exts: tp.List[str], recursive: bool = False):
-    # Scan files recursively faster than glob
-    # From github.com/drscotthawley/aeiou/blob/main/aeiou/core.py
-    subfolders, files = [], []
-
-    try:  # hope to avoid 'permission denied' by this try
-        for f in os.scandir(path):
-            try:  # 'hope to avoid too many levels of symbolic links' error
-                if f.is_dir():
-                    subfolders.append(f.path)
-                elif f.is_file():
-                    if os.path.splitext(f.name)[1].lower() in exts:
-                        files.append(f.path)
-            except Exception:
-                pass
-    except Exception:
-        pass
-
-    if recursive:
-        for path in list(subfolders):
-            sf, f = fast_scandir(path, exts, recursive=recursive)
-            subfolders.extend(sf)
-            files.extend(f)  # type: ignore
-
-    return subfolders, files
+]