Class BaseDatasetLoader

scripts/eval/eval.py:283–317

Abstract base class for dataset loaders. Defines the common interface for all dataset loaders in the evaluation pipeline. Each concrete loader implements dataset-specific logic for loading audio files and their corresponding transcripts. Attributes: root_dir (str): Root dir

class BaseDatasetLoader(ABC):
    """Abstract base class for dataset loaders.

    Defines the common interface for all dataset loaders in the evaluation pipeline.
    Each concrete loader implements dataset-specific logic for loading audio files
    and their corresponding transcripts.

    Attributes:
        root_dir (str): Root directory containing the dataset files

    Methods:
        load: Abstract method to load dataset audio files and transcripts
    """

    def __init__(self, root_dir: str):
        """Initialize the dataset loader with root directory.

        Args:
            root_dir (str): Path to the root directory containing dataset files
        """
        self.root_dir = root_dir

    @abstractmethod
    def load(self) -> Tuple[list, list]:
        """Load audio files and transcripts from the dataset.

        Returns:
            Tuple[list, list]: A tuple containing:
                - List of audio file paths or AudioSegment objects
                - List of corresponding transcript strings

        Raises:
            NotImplementedError: If not implemented by concrete subclass
        """
        pass


class LibrispeechLoader(BaseDatasetLoader):