class_docstr: A meta processor is expected to load the metadata of a dataset:
      (e.g., video_ids, or captions).
  You must implement the `__getitem__` (meta datasets are rather diverse.).
class_docstr_tok: ["A","meta","processor","is","expected","to","load","the","metadata","of","a","dataset",":","(","e.g.",",","video_ids",",","or","captions",")",".","You","must","implement","the","`","__getitem__","`","(","meta","datasets","are","rather","diverse",".",")","."]
code: def __init__(self, config):
      self.split = config.split
  
imports: import numpy
  import os
  import torch
label_desc: Use image node_id 1 to create a new MetaProcessor object from inherited base classes: Processor with example: obj = MetaProcessor(config)