class_docstr: Utility class for 1B word benchmark dataset.
  
  The current implementation reads the data from the tokenized text
  files.
class_docstr_tok: ["Utility","class","for","1B","word","benchmark","dataset",".","The","current","implementation","reads","the","data","from","the","tokenized","text","files","."]
docstr: Randomly select a file and read it.
docstr_tok: ["Randomly","select","a","file","and","read","it","."]
code: def _load_random_shard(self):
      """Randomly select a file and read it."""
      return self._load_shard(random.choice(self._all_shards))
  
imports: import random
  import numpy
  from textattack.shared.utils import LazyLoader
label_desc: Use image node_id 2 for calling the LM1BDataset obj's underlying member method code with example usage: obj._load_random_shard() and returns: self