Add to_unicode_utf8() to text_encoder.py

tensor2tensor/data_generators/cnn_dailymail.py

@@ -24,7 +24,6 @@
 import os
 import random
 import tarfile
-import six
 from tensor2tensor.data_generators import generator_utils
 from tensor2tensor.data_generators import problem
 from tensor2tensor.data_generators import text_encoder
@@ -157,10 +156,7 @@ def fix_run_on_sents(line):
     summary = []
     reading_highlights = False
     for line in tf.gfile.Open(story_file, "rb"):
-      if six.PY2:
-        line = unicode(line.strip(), "utf-8")
-      else:
-        line = line.strip().decode("utf-8")
+      line = text_encoder.to_unicode_utf8(line.strip())
       line = fix_run_on_sents(line)
       if not line:
         continue

tensor2tensor/data_generators/cola.py

@@ -21,7 +21,6 @@
 
 import os
 import zipfile
-import six
 from tensor2tensor.data_generators import generator_utils
 from tensor2tensor.data_generators import problem
 from tensor2tensor.data_generators import text_encoder
@@ -83,10 +82,7 @@ def _maybe_download_corpora(self, tmp_dir):
 
   def example_generator(self, filename):
     for line in tf.gfile.Open(filename, "rb"):
-      if six.PY2:
-        line = unicode(line.strip(), "utf-8")
-      else:
-        line = line.strip().decode("utf-8")
+      line = text_encoder.to_unicode_utf8(line.strip())
       _, label, _, sent = line.split("\t")
       yield {
           "inputs": sent,

tensor2tensor/data_generators/mrpc.py

@@ -20,7 +20,6 @@
 from __future__ import print_function
 
 import os
-import six
 from tensor2tensor.data_generators import generator_utils
 from tensor2tensor.data_generators import problem
 from tensor2tensor.data_generators import text_encoder
@@ -95,10 +94,7 @@ def download_file(tdir, filepath, url):
   def example_generator(self, filename, dev_ids, dataset_split):
     for idx, line in enumerate(tf.gfile.Open(filename, "rb")):
       if idx == 0: continue  # skip header
-      if six.PY2:
-        line = unicode(line.strip(), "utf-8")
-      else:
-        line = line.strip().decode("utf-8")
+      line = text_encoder.to_unicode_utf8(line.strip())
       l, id1, id2, s1, s2 = line.split("\t")
       is_dev = [id1, id2] in dev_ids
       if dataset_split == problem.DatasetSplit.TRAIN and is_dev:

tensor2tensor/data_generators/multinli.py

@@ -21,7 +21,6 @@
 
 import os
 import zipfile
-import six
 from tensor2tensor.data_generators import generator_utils
 from tensor2tensor.data_generators import lm1b
 from tensor2tensor.data_generators import problem
@@ -87,10 +86,7 @@ def example_generator(self, filename):
     label_list = self.class_labels(data_dir=None)
     for idx, line in enumerate(tf.gfile.Open(filename, "rb")):
       if idx == 0: continue  # skip header
-      if six.PY2:
-        line = unicode(line.strip(), "utf-8")
-      else:
-        line = line.strip().decode("utf-8")
+      line = text_encoder.to_unicode_utf8(line.strip())
       split_line = line.split("\t")
       # Works for both splits even though dev has some extra human labels.
       s1, s2 = split_line[8:10]

tensor2tensor/data_generators/qnli.py

@@ -21,7 +21,6 @@
 
 import os
 import zipfile
-import six
 from tensor2tensor.data_generators import generator_utils
 from tensor2tensor.data_generators import problem
 from tensor2tensor.data_generators import text_encoder
@@ -85,10 +84,7 @@ def example_generator(self, filename):
     label_list = self.class_labels(data_dir=None)
     for idx, line in enumerate(tf.gfile.Open(filename, "rb")):
       if idx == 0: continue  # skip header
-      if six.PY2:
-        line = unicode(line.strip(), "utf-8")
-      else:
-        line = line.strip().decode("utf-8")
+      line = text_encoder.to_unicode_utf8(line.strip())
       _, s1, s2, l = line.split("\t")
       inputs = [s1, s2]
       l = label_list.index(l)

tensor2tensor/data_generators/quora_qpairs.py

@@ -21,7 +21,6 @@
 
 import os
 import zipfile
-import six
 from tensor2tensor.data_generators import generator_utils
 from tensor2tensor.data_generators import problem
 from tensor2tensor.data_generators import text_encoder
@@ -84,10 +83,7 @@ def example_generator(self, filename):
     skipped = 0
     for idx, line in enumerate(tf.gfile.Open(filename, "rb")):
       if idx == 0: continue  # skip header
-      if six.PY2:
-        line = unicode(line.strip(), "utf-8")
-      else:
-        line = line.strip().decode("utf-8")
+      line = text_encoder.to_unicode_utf8(line.strip())
       split_line = line.split("\t")
       if len(split_line) < 6:
         skipped += 1

tensor2tensor/data_generators/rte.py

@@ -21,7 +21,6 @@
 
 import os
 import zipfile
-import six
 from tensor2tensor.data_generators import generator_utils
 from tensor2tensor.data_generators import problem
 from tensor2tensor.data_generators import text_encoder
@@ -85,10 +84,7 @@ def example_generator(self, filename):
     label_list = self.class_labels(data_dir=None)
     for idx, line in enumerate(tf.gfile.Open(filename, "rb")):
       if idx == 0: continue  # skip header
-      if six.PY2:
-        line = unicode(line.strip(), "utf-8")
-      else:
-        line = line.strip().decode("utf-8")
+      line = text_encoder.to_unicode_utf8(line.strip())
       _, s1, s2, l = line.split("\t")
       inputs = [s1, s2]
       l = label_list.index(l)

tensor2tensor/data_generators/scitail.py

@@ -21,7 +21,6 @@
 
 import os
 import zipfile
-import six
 from tensor2tensor.data_generators import generator_utils
 from tensor2tensor.data_generators import lm1b
 from tensor2tensor.data_generators import problem
@@ -83,10 +82,7 @@ def _maybe_download_corpora(self, tmp_dir):
   def example_generator(self, filename):
     label_list = self.class_labels(data_dir=None)
     for line in tf.gfile.Open(filename, "rb"):
-      if six.PY2:
-        line = unicode(line.strip(), "utf-8")
-      else:
-        line = line.strip().decode("utf-8")
+      line = text_encoder.to_unicode_utf8(line.strip())
       split_line = line.split("\t")
       s1, s2 = split_line[:2]
       l = label_list.index(split_line[2])

tensor2tensor/data_generators/sst_binary.py

@@ -21,7 +21,6 @@
 
 import os
 import zipfile
-import six
 from tensor2tensor.data_generators import generator_utils
 from tensor2tensor.data_generators import problem
 from tensor2tensor.data_generators import text_encoder
@@ -84,10 +83,7 @@ def _maybe_download_corpora(self, tmp_dir):
   def example_generator(self, filename):
     for idx, line in enumerate(tf.gfile.Open(filename, "rb")):
       if idx == 0: continue  # skip header
-      if six.PY2:
-        line = unicode(line.strip(), "utf-8")
-      else:
-        line = line.strip().decode("utf-8")
+      line = text_encoder.to_unicode_utf8(line.strip())
       sent, label = line.split("\t")
       yield {
           "inputs": sent,

tensor2tensor/data_generators/stanford_nli.py

@@ -21,7 +21,6 @@
 
 import os
 import zipfile
-import six
 from tensor2tensor.data_generators import generator_utils
 from tensor2tensor.data_generators import lm1b
 from tensor2tensor.data_generators import problem
@@ -84,10 +83,7 @@ def example_generator(self, filename):
     label_list = self.class_labels(data_dir=None)
     for idx, line in enumerate(tf.gfile.Open(filename, "rb")):
       if idx == 0: continue  # skip header
-      if six.PY2:
-        line = unicode(line.strip(), "utf-8")
-      else:
-        line = line.strip().decode("utf-8")
+      line = text_encoder.to_unicode_utf8(line.strip())
       split_line = line.split("\t")
       # Works for both splits even though dev has some extra human labels.
       s1, s2 = split_line[5:7]

tensor2tensor/data_generators/text_encoder.py

@@ -98,6 +98,10 @@ def to_unicode_ignore_errors(s):
   return to_unicode(s, ignore_errors=True)
 
 
+def to_unicode_utf8(s):
+  return unicode(s, "utf-8") if six.PY2 else s.decode("utf-8")
+
+
 def strip_ids(ids, ids_to_strip):
   """Strip ids_to_strip from the end ids."""
   ids = list(ids)

tensor2tensor/data_generators/wiki_revision_utils.py

@@ -27,18 +27,12 @@
 import re
 import subprocess
 
-import six
-
 from tensor2tensor.data_generators import generator_utils
 from tensor2tensor.data_generators import text_encoder
 
 import tensorflow as tf
 
 
-def to_unicode(s):
-  return unicode(s, "utf-8") if six.PY2 else s.decode("utf-8")
-
-
 def include_revision(revision_num, skip_factor=1.1):
   """Decide whether to include a revision.
 
@@ -118,7 +112,7 @@ def get_title(page):
   assert start_pos != -1
   assert end_pos != -1
   start_pos += len("<title>")
-  return to_unicode(page[start_pos:end_pos])
+  return text_encoder.to_unicode_utf8(page[start_pos:end_pos])
 
 
 def get_id(page):
@@ -257,7 +251,7 @@ def get_text(revision, strip=True):
     ret = revision[end_tag_pos:end_pos]
   if strip:
     ret = strip_text(ret)
-  ret = to_unicode(ret)
+  ret = text_encoder.to_unicode_utf8(ret)
   return ret
 
 

tensor2tensor/data_generators/wnli.py

@@ -21,7 +21,6 @@
 
 import os
 import zipfile
-import six
 from tensor2tensor.data_generators import generator_utils
 from tensor2tensor.data_generators import problem
 from tensor2tensor.data_generators import text_encoder
@@ -88,10 +87,7 @@ def _maybe_download_corpora(self, tmp_dir):
   def example_generator(self, filename):
     for idx, line in enumerate(tf.gfile.Open(filename, "rb")):
       if idx == 0: continue  # skip header
-      if six.PY2:
-        line = unicode(line.strip(), "utf-8")
-      else:
-        line = line.strip().decode("utf-8")
+      line = text_encoder.to_unicode_utf8(line.strip())
       _, s1, s2, l = line.split("\t")
       inputs = [s1, s2]
       yield {