code: def create_training_and_validation_sets(
      validation_set_probability=0.1, seed=None
  ):
      class_directories = None
  
      for root, dirs, files in os.walk(
          "datasets/collect_frames_for_context"
      ):
          class_directories = [f"{root}/{d}" for d in dirs]
          break
  
      serpent.datasets.create_training_and_validation_sets(
          class_directories,
          validation_set_probability=validation_set_probability,
          seed=seed,
      )
  
file_path: SerpentAI/serpent/machine_learning/context_classification/context_classifier.py
imports: import serpent.datasets
  import os
  import random
  import skimage.io
label_desc: Use image node_id 4 for calling the ContextClassifier obj's underlying member method code with example usage: obj.create_training_and_validation_sets(validation_set_probability, seed) without return types