class_docstr: 10 Large 5000 x 5000 colorectal histology images without labels.
code: def _generate_examples(self, folder):
      folder = os.path.join(folder, _LARGE_SUBDIR)
      for fn in tf.io.gfile.listdir(folder):
          image = _load_tif(os.path.join(folder, fn))
          record = dict(image=image, filename=fn)
          yield fn, record
  
file_path: datasets/tensorflow_datasets/image_classification/colorectal_histology.py
imports: import os
  import numpy
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  import tensorflow_datasets.public_api
label_desc: Use image node_id 3 for calling the ColorectalHistologyLarge obj's underlying member method code with example usage: obj._generate_examples(folder) without return types