message: Minor change in word2vec_basic tutorial
diff: @@ -91,7 +91,7 @@ vocabulary_size = 50000
  def build_dataset(words, n_words):
  """Process raw inputs into a dataset."""
  - count = [['UNK', -1]]
  + count = [('UNK', -1)]
  count.extend(collections.Counter(words).most_common(n_words - 1))
  dictionary = dict()
  for word, _ in count:
  @@ -125,6 +125,7 @@ data_index = 0
  # Step 3: Function to generate a training batch for the skip-gram model.
  def generate_batch(batch_size, num_skips, skip_window):
  + global data
  global data_index
  assert batch_size % num_skips == 0
  assert num_skips <= 2 * skip_window
  