code: def get_nfold_split2(ifold, nfold=10):
      meta_train = pd.read_csv(
          os.path.join(settings.DATA_DIR, "train_meta2.csv")
      )
  
      with open(
          os.path.join(settings.DATA_DIR, "train_split.json"), "r"
      ) as f:
          train_splits = json.load(f)
      train_index = train_splits[str(ifold)]["train_index"]
      valid_index = train_splits[str(ifold)]["val_index"]
  
      return meta_train.iloc[train_index], meta_train.iloc[valid_index]
  
imports: import os
  import json
  import sys
  import time
  import numpy
  import pandas
  from PIL import Image
  from tqdm import tqdm
  from pycocotools import mask
  from sklearn.model_selection import KFold
  import settings
label_desc: Use image node_id 13 for calling a global function with example usage: get_nfold_split2(ifold, nfold) and returns: meta_train,  meta_train