Create vietnamceleb.py

vietnamceleb.py

@@ -0,0 +1,137 @@
+# coding=utf-8
+
+"""VietnamCeleb dataset."""
+
+
+import os
+from typing import List
+from pathlib import Path
+
+import librosa
+import datasets
+from rich import print
+
+
+DATA_DIR_STRUCTURE = """
+root/
+└── data
+    ├── id00000
+        ├── 00001.wav
+        ...
+    ...
+"""
+MANUAL_DOWNLOAD_INSTRUCTION = f"""
+To use VietnamCeleb you have to download it manually. 
+The tree structure of the downloaded data looks like:
+{DATA_DIR_STRUCTURE}
+"""
+
+SAMPLING_RATE = 16_000
+
+
+class VietnamCelebConfig(datasets.BuilderConfig):
+    """BuilderConfig for VietnamCeleb."""
+    
+    def __init__(self, features, **kwargs):
+        super(VietnamCelebConfig, self).__init__(version=datasets.Version("0.0.1", ""), **kwargs)
+        self.features = features
+
+
+class VietnamCeleb(datasets.GeneratorBasedBuilder):
+
+    BUILDER_CONFIGS = [
+        VietnamCelebConfig(
+            features=datasets.Features(
+                {
+                    "audio": datasets.Audio(sampling_rate=SAMPLING_RATE),
+                    "speaker": datasets.Value("string"), 
+                    # "duration": datasets.Value("int32"), 
+                }
+            ),
+            name="verification", 
+            description="",
+        ), 
+    ]
+
+    DEFAULT_CONFIG_NAME = "verification"
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description="VietnamCeleb for verification",
+            features=self.config.features,
+        )
+
+    @property
+    def manual_download_instructions(self):
+        return MANUAL_DOWNLOAD_INSTRUCTION
+
+    def _split_generators(self, dl_manager):
+
+        data_dir = os.path.abspath(os.path.expanduser(dl_manager.manual_dir))
+
+        if not os.path.exists(data_dir):
+            raise self.manual_download_instructions
+
+        if not os.path.isdir(os.path.join(data_dir, 'data')):
+            raise FileExistsError(f"{data_dir} does not exist. Make sure you have unzipped the dataset.")
+
+        return [
+            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"split": "train", "data_dir": data_dir}),
+            datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"split": "test", "data_dir": data_dir}),
+        ]
+
+    def _generate_examples(self, split, data_dir):
+        """Generate examples from VietnamCeleb"""
+        train_txt = os.path.join(data_dir, 'vietnam-celeb-t.txt')
+
+        archive_path = os.path.join(data_dir, 'data')
+        with open(train_txt, "r") as f:
+            train_speakers = [line.strip().split()[0] for line in f]
+            train_speakers = list(set(train_speakers))
+        test_speakers = list(set(os.listdir(archive_path)) - set(train_speakers))
+
+        # Iterating the contents of the data to extract the relevant information
+        extensions = ['.wav']
+
+        if split == 'train':
+            speakers = train_speakers
+        elif split == 'test':
+            speakers = test_speakers
+
+        guid = 0
+        for speaker in speakers:
+            _, wav_paths = fast_scandir(os.path.join(archive_path, speaker), extensions)
+            for wav_path in wav_paths:
+                yield guid, {
+                    "id": str(guid), 
+                    "audio": wav_path, 
+                    "speaker": speaker
+                }
+                guid += 1
+
+
+def fast_scandir(path: str, extensions: 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 extensions:
+                        files.append(f.path)
+            except Exception:
+                pass
+    except Exception:
+        pass
+
+    if recursive:
+        for path in list(subfolders):
+            sf, f = fast_scandir(path, extensions, recursive=recursive)
+            subfolders.extend(sf)
+            files.extend(f)  # type: ignore
+
+    return subfolders, files