class_docstr: A class to read TED talk dataset
      
class_docstr_tok: ["A","class","to","read","TED","talk","dataset"]
code: def read_from_single_file(self, path_, s_lang, t_lang):
      data_dict = defaultdict(list)
      with io.open(path_, "r", encoding="utf8") as fp:
          reader = csv.DictReader(
              fp, delimiter="\t", quoting=csv.QUOTE_NONE
          )
          for row in reader:
              data_dict["source"].append(row[s_lang])
              data_dict["target"].append(row[t_lang])
  
      if self.target_token:
          text = self.add_target_token(data_dict["source"], t_lang)
          data_dict["source"] = text
  
      return data_dict["source"], data_dict["target"]
  
imports: import itertools
  import os
  import csv
  from collections import defaultdict
  from six.moves import zip
  import io
  import wget
  import sys
  from subprocess import check_call, check_output
label_desc: Use image node_id 7 for calling the MultiLingualAlignedCorpusReader obj's underlying member method code with example usage: obj.read_from_single_file(path_, s_lang, t_lang) and returns: data_dict,  data_dict