code: def iterate(tokenizer, start=0):
      examples = init_dataset()
      print(f"there are {len(examples)} pairs in the dataset")
  
      for i in range(start, len(examples)):
          example = examples[i]
          features = convert_example_to_features(example, tokenizer)
          # we need to yield all features here as the f1 score is the maximum over all features
          yield features, example
  
file_path: tinygrad/extra/datasets/squad.py
imports: import json
  import os
  from pathlib import Path
  from transformers import BertTokenizer
  import numpy
  from tinygrad.helpers import fetch
label_desc: Use image node_id 4 for calling a global function with example usage: iterate(tokenizer, start) without return types