class_docstr: Dummy Dataset for CI/CD testing
  
  Args:
      opts: command-line arguments
code: def __init__(self, opts, *args, **kwargs) -> None:
      super().__init__()
  
      self.context_length = 5
      self.vocab_size = 100
      setattr(opts, "dataset.text_vocab_size", self.vocab_size)
      setattr(opts, "dataset.text_context_length", self.context_length)
  
      setattr(
          opts,
          "dataset.collate_fn_name_train",
          "multi_modal_img_text_collate_fn",
      )
      setattr(
          opts,
          "dataset.collate_fn_name_val",
          "multi_modal_img_text_collate_fn",
      )
      setattr(
          opts,
          "dataset.collate_fn_name_test",
          "multi_modal_img_text_collate_fn",
      )
  
imports: from typing import Dict, Tuple
  import torch
  import torch.utils.data
label_desc: Use image node_id 1 to create a new DummyMultiModalImageTextDataset object from inherited base classes: data with example: obj = DummyMultiModalImageTextDataset(opts)