code: def read(self):
      # Build iterable dataset
      if self.streaming:
          dataset = self.builder.as_streaming_dataset(split="train")
      # Build regular (map-style) dataset
      else:
          download_config = None
          download_mode = None
          verification_mode = None
          base_path = None
  
          self.builder.download_and_prepare(
              download_config=download_config,
              download_mode=download_mode,
              verification_mode=verification_mode,
              try_from_hf_gcs=False,
              base_path=base_path,
              num_proc=self.num_proc,
          )
          dataset = self.builder.as_dataset(
              split="train",
              verification_mode=verification_mode,
              in_memory=self.keep_in_memory,
          )
      return dataset
  
imports: from typing import Callable, Optional
  from ..None import Features
  from ..packaged_modules.generator.generator import Generator
  from .abc import AbstractDatasetInputStream
label_desc: Use image node_id 2 for calling the GeneratorDatasetInputStream obj's underlying member method code with example usage: obj.read() and returns: dataset