code: def __init__(
      self, config, dataset_type, imdb_file_index, *args, **kwargs
  ):
      super().__init__(
          "textvqa", config, dataset_type, index=imdb_file_index
      )
      self.use_ocr = self.config.use_ocr
      self.use_ocr_info = self.config.use_ocr_info
  
file_path: mmf/mmf/datasets/builders/textvqa/dataset.py
imports: import numpy
  import torch
  from mmf.common.sample import Sample
  from mmf.datasets.mmf_dataset import MMFDataset
  from mmf.utils.distributed import byte_tensor_to_object, object_to_byte_tensor
  from mmf.utils.text import word_tokenize
label_desc: Use image node_id 1 to create a new TextVQADataset object from inherited base classes: MMFDataset with example: obj = TextVQADataset(config, dataset_type, imdb_file_index)