Merge changes from github.

Change: 120185825

1 files changed, 3 insertions, 3 deletions

diff --git a/tensorflow/examples/tutorials/word2vec/word2vec_basic.py b/tensorflow/examples/tutorials/word2vec/word2vec_basic.py
index 6cbe6a0f7e..83bb5dd165 100644
--- a/tensorflow/examples/tutorials/word2vec/word2vec_basic.py
+++ b/tensorflow/examples/tutorials/word2vec/word2vec_basic.py
@@ -81,7 +81,7 @@ def build_dataset(words):
 data, count, dictionary, reverse_dictionary = build_dataset(words)
 del words  # Hint to reduce memory.
 print('Most common words (+UNK)', count[:5])
-print('Sample data', data[:10])
+print('Sample data', data[:10], [reverse_dictionary[i] for i in data[:10]])
 
 data_index = 0
 
@@ -113,8 +113,8 @@ def generate_batch(batch_size, num_skips, skip_window):
 
 batch, labels = generate_batch(batch_size=8, num_skips=2, skip_window=1)
 for i in range(8):
-  print(batch[i], '->', labels[i, 0])
-  print(reverse_dictionary[batch[i]], '->', reverse_dictionary[labels[i, 0]])
+  print(batch[i], reverse_dictionary[batch[i]],
+      '->', labels[i, 0], reverse_dictionary[labels[i, 0]])
 
 # Step 4: Build and train a skip-gram model.