class_docstr: Base class for data converters for sequence classification data sets.
class_docstr_tok: ["Base","class","for","data","converters","for","sequence","classification","data","sets","."]
docstr: Reads a tab separated value file.
docstr_tok: ["Reads","a","tab","separated","value","file","."]
code: def _read_tsv(cls, input_file, quotechar=None):
      """Reads a tab separated value file."""
      with tf.gfile.Open(input_file, "r") as f:
          reader = csv.reader(f, delimiter="\t", quotechar=quotechar)
          lines = []
          for line in reader:
              lines.append(line)
          return lines
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  import csv
  import os
  import mesh_tensorflow
  import mesh_tensorflow.bert.bert
  import mesh_tensorflow.bert.optimization
  import mesh_tensorflow.bert.tokenization
  from six.moves import range
  import tensorflow.compat.v1
  from tensorflow.compat.v1 import estimator
label_desc: Use image node_id 5 for calling the DataProcessor obj's underlying member method code with example usage: obj._read_tsv(cls, input_file, quotechar) and returns: lines