class_docstr: 10 Large 5000 x 5000 colorectal histology images without labels.
code: def _info(self):
      return tfds.core.DatasetInfo(
          builder=self,
          description=(
              "10 large 5000 x 5000 textured colorectal cancer histology images"
          ),
          features=tfds.features.FeaturesDict(
              {
                  "image": tfds.features.Image(
                      shape=(_LARGE_SIZE,) * 2 + (3,)
                  ),
                  "filename": tfds.features.Text(),
              }
          ),
          homepage=_URL,
          citation=_CITATION,
      )
  
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 1 for calling the ColorectalHistologyLarge obj's underlying member method code with example usage: obj._info() and returns: tfds