Create dcase2018-task3.py

dcase2018-task3.py

@@ -0,0 +1,256 @@
+# coding=utf-8
+
+"""DCASE2018 Task3 Bird Audio Detection dataset."""
+
+
+import os
+import gzip
+import shutil
+import pathlib
+import logging
+import datasets
+import typing as tp
+import pandas as pd
+import urllib.request
+from pathlib import Path
+from copy import deepcopy
+from tqdm.auto import tqdm
+from rich.logging import RichHandler
+
+logger = logging.getLogger(__name__)
+logger.addHandler(RichHandler())
+logger.setLevel(logging.INFO)
+
+VERSION = "0.0.1"
+
+SAMPLE_RATE = 44_100
+
+# Cache location
+DEFAULT_XDG_CACHE_HOME = "~/.cache"
+XDG_CACHE_HOME = os.getenv("XDG_CACHE_HOME", DEFAULT_XDG_CACHE_HOME)
+DEFAULT_HF_CACHE_HOME = os.path.join(XDG_CACHE_HOME, "huggingface")
+HF_CACHE_HOME = os.path.expanduser(os.getenv("HF_HOME", DEFAULT_HF_CACHE_HOME))
+DEFAULT_HF_DATASETS_CACHE = os.path.join(HF_CACHE_HOME, "datasets")
+HF_DATASETS_CACHE = Path(os.getenv("HF_DATASETS_CACHE", DEFAULT_HF_DATASETS_CACHE))
+
+
+class DCASE2018Task3KConfig(datasets.BuilderConfig):
+    """BuilderConfig for DCASE2018 Task3."""
+    
+    def __init__(self, features, **kwargs):
+        super(DCASE2018Task3KConfig, self).__init__(version=datasets.Version(VERSION, ""), **kwargs)
+        self.features = features
+
+
+class DCASE2018Task3(datasets.GeneratorBasedBuilder):
+
+    BUILDER_CONFIGS = [
+        DCASE2018Task3KConfig(
+            features=datasets.Features(
+                {
+                    "file": datasets.Value("string"),
+                    "audio": datasets.Audio(sampling_rate=None),
+                    "label": datasets.features.ClassLabel(names=['absence', 'presence']), 
+                }
+            ),
+            name="hidaka2022investigation", 
+            description="",
+        ), 
+    ]
+
+    DEFAULT_CONFIG_NAME = "hidaka2022investigation"
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description="",
+            features=self.config.features,
+            supervised_keys=None,
+            homepage="https://dcase.community/challenge2018/task-bird-audio-detection",
+            citation="",
+            task_templates=None,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        extensions = ['.wav']
+        
+        # Development sets
+        audio_paths = []
+        for _filename in ['ff1010bird_wav.zip', 'BirdVox-DCASE-20k.zip']:
+            DEV_URL = f'https://huggingface.co/datasets/confit/dcase2018-task3/resolve/main/{_filename}'
+            _dev_save_path = os.path.join(
+                HF_DATASETS_CACHE, 'confit___dcase2018-task3/hidaka2022investigation', VERSION
+            )
+            download_file(DEV_URL, os.path.join(_dev_save_path, _filename))
+            train_archive_path = dl_manager.extract(os.path.join(_dev_save_path, _filename))
+            logger.info(f"`{_filename}` is extracted to {train_archive_path}")
+            _, _walker = fast_scandir(train_archive_path, extensions, recursive=True)
+            audio_paths.extend(_walker)
+
+        # Evaluation set
+        EVAL_URL = 'https://huggingface.co/datasets/confit/dcase2018-task3/resolve/main/warblrb10k_public_wav.zip'
+        _eval_save_path = os.path.join(
+            HF_DATASETS_CACHE, 'confit___dcase2018-task3/hidaka2022investigation', VERSION
+        )
+        _filename = 'warblrb10k_public_wav.zip'
+        download_file(EVAL_URL, os.path.join(_eval_save_path, _filename))
+        test_archive_path = dl_manager.extract(os.path.join(_eval_save_path, _filename))
+        logger.info(f"`{_filename}` is extracted to {test_archive_path}")
+        _, test_audio_paths = fast_scandir(test_archive_path, extensions, recursive=True)
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN, gen_kwargs={"audio_paths": train_audio_paths, "split": "train"}
+            ), 
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST, gen_kwargs={"audio_paths": test_audio_paths, "split": "test"}
+            ), 
+        ]
+
+    def _generate_examples(self, audio_paths, split=None):
+        if split == 'train':
+            _df1 = pd.read_csv('https://huggingface.co/datasets/confit/dcase2018-task3/raw/main/BirdVoxDCASE20k_csvpublic.csv')
+            _df2 = pd.read_csv('https://huggingface.co/datasets/confit/dcase2018-task3/raw/main/ff1010bird_metadata_2018.csv')
+            metadata_df = pd.concat([_df1, _df2]).reset_index(drop=True)
+        elif split == 'test':
+            metadata_df = pd.read_csv('https://huggingface.co/datasets/confit/dcase2018-task3/raw/main/warblrb10k_public_metadata_2018.csv')
+
+        fileid2class = {}
+        for idx, row in metadata_df.iterrows():
+            has_bird = row['hasbird']
+            if int(has_bird) == 1:
+                label = 'presence'
+            elif int(has_bird) == 0:
+                label = 'absence'
+            fileid2class[f"{row['itemid']}.wav"] = label # this filename doesn't have suffix
+
+        for guid, audio_path in enumerate(audio_paths):
+            fileid = Path(audio_path).name
+            label = fileid2class.get(fileid)
+            yield guid, {
+                "id": str(guid),
+                "file": audio_path, 
+                "audio": audio_path, 
+                "label": label, 
+            }
+
+
+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
+
+
+def download_file(
+    source,
+    dest,
+    unpack=False,
+    dest_unpack=None,
+    replace_existing=False,
+    write_permissions=False,
+):
+    """Downloads the file from the given source and saves it in the given
+    destination path.
+     Arguments
+    ---------
+    source : path or url
+        Path of the source file. If the source is an URL, it downloads it from
+        the web.
+    dest : path
+        Destination path.
+    unpack : bool
+        If True, it unpacks the data in the dest folder.
+    dest_unpack: path
+        Path where to store the unpacked dataset
+    replace_existing : bool
+        If True, replaces the existing files.
+    write_permissions: bool
+        When set to True, all the files in the dest_unpack directory will be granted write permissions.
+        This option is active only when unpack=True.
+    """
+    class DownloadProgressBar(tqdm):
+        """DownloadProgressBar class."""
+
+        def update_to(self, b=1, bsize=1, tsize=None):
+            """Needed to support multigpu training."""
+            if tsize is not None:
+                self.total = tsize
+            self.update(b * bsize - self.n)
+
+    # Create the destination directory if it doesn't exist
+    dest_dir = pathlib.Path(dest).resolve().parent
+    dest_dir.mkdir(parents=True, exist_ok=True)
+    if "http" not in source:
+        shutil.copyfile(source, dest)
+
+    elif not os.path.isfile(dest) or (
+        os.path.isfile(dest) and replace_existing
+    ):
+        logger.info(f"Downloading {source} to {dest}")
+        with DownloadProgressBar(
+            unit="B",
+            unit_scale=True,
+            miniters=1,
+            desc=source.split("/")[-1],
+        ) as t:
+            urllib.request.urlretrieve(
+                source, filename=dest, reporthook=t.update_to
+            )
+    else:
+        logger.info(f"{dest} exists. Skipping download")
+
+    # Unpack if necessary
+    if unpack:
+        if dest_unpack is None:
+            dest_unpack = os.path.dirname(dest)
+        logger.info(f"Extracting {dest} to {dest_unpack}")
+        # shutil unpack_archive does not work with tar.gz files
+        if (
+            source.endswith(".tar.gz")
+            or source.endswith(".tgz")
+            or source.endswith(".gz")
+        ):
+            out = dest.replace(".gz", "")
+            with gzip.open(dest, "rb") as f_in:
+                with open(out, "wb") as f_out:
+                    shutil.copyfileobj(f_in, f_out)
+        else:
+            shutil.unpack_archive(dest, dest_unpack)
+        if write_permissions:
+            set_writing_permissions(dest_unpack)
+
+
+def set_writing_permissions(folder_path):
+    """
+    This function sets user writing permissions to all the files in the given folder.
+    Arguments
+    ---------
+    folder_path : folder
+        Folder whose files will be granted write permissions.
+    """
+    for root, dirs, files in os.walk(folder_path):
+        for file_name in files:
+            file_path = os.path.join(root, file_name)
+            # Set writing permissions (mode 0o666) to the file
+            os.chmod(file_path, 0o666)