code: def _TextLineDataset(filename: Text) -> dataset_ops.Dataset:
      buffer_size = 8 * 1024 * 1024  # 8 MiB per file
      dataset = readers.TextLineDataset(
          filename, buffer_size=buffer_size
      )
      return dataset
  
file_path: tensorflow/tensorflow/python/tpu/datasets.py
imports: from typing import Callable, Optional, Text, Union
  from tensorflow.python.data.experimental.ops import interleave_ops
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.data.ops import iterator_ops
  from tensorflow.python.data.ops import readers
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import function
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import functional_ops
  from tensorflow.python.types import data
label_desc: Use image node_id 1 for calling a global function with example usage: _TextLineDataset(filename) and returns: dataset