chunk_content: ng set of the Food-101 dataset:
  
  
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  from datasets import load_dataset
  
  dataset = load_dataset("food101", split="train[:5000]")
  
  Dataset preparation
  	
  To prepare the dataset for training and evaluation, create label2id and id2label dictionaries. These will come in
  handy when performing inference and for metadata information:
  
  
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  labels = dataset.features["label"].names
  label2id, id2label = dict(), dict()
  for i, label in enumerate(lab