code: def folder_dataset():
      """Create Folder Dataset."""
      root = get_dataset_path(dataset="bottle")
      transform = get_transforms(image_size=(256, 256))
      dataset = FolderDataset(
          task=TaskType.CLASSIFICATION,
          transform=transform,
          root=root,
          normal_dir="good",
          abnormal_dir="broken_large",
      )
      dataset.setup()
  
      return dataset
  
file_path: anomalib/tests/pre_merge/datasets/test_dataset.py
imports: import random
  import pandas
  import pytest
  from anomalib.data import TaskType
  from anomalib.data.folder import FolderDataset
  from anomalib.data.utils import get_transforms, LabelName
  from anomalib.data.utils.split import concatenate_datasets, random_split
  from tests.helpers.dataset import get_dataset_path
label_desc: Use image node_id 1 for calling a global function with example usage: folder_dataset() and returns: dataset