class_docstr: Dataset for Annotations used in MMF
  
  TODO: Update on docs sprint
code: def __init__(self, config, path, *args, **kwargs):
      super().__init__()
      self.metadata = {}
      self.config = config
      self.start_idx = 0
      path = get_absolute_path(path)
      self.load_annotation_db(path)
  
file_path: mmf/mmf/datasets/databases/annotation_database.py
imports: import json
  import numpy
  import torch
  from mmf.utils.file_io import PathManager
  from mmf.utils.general import get_absolute_path
label_desc: Use image node_id 1 to create a new AnnotationDatabase object from inherited base classes: torch.utils.data with example: obj = AnnotationDatabase(config, path)