code: def load_data(file_path, len_train, len_val):
      df = pd.read_csv(file_path, header=None).values.astype(float)
      train = df[:len_train]
      val = df[len_train : len_train + len_val]
      test = df[len_train + len_val :]
      return train, val, test
  
imports: import numpy
  import pandas
  import torch
label_desc: Use image node_id 1 for calling a global function with example usage: load_data(file_path, len_train, len_val) and returns: train,  val,  test