diff --git a/egs/iam/v1/local/train_lm.sh b/egs/iam/v1/local/train_lm.sh
index 911f54c5439..3e8c838efdb 100755
--- a/egs/iam/v1/local/train_lm.sh
+++ b/egs/iam/v1/local/train_lm.sh
@@ -60,7 +60,7 @@ if [ $stage -le 0 ]; then
   # Using LOB and brown corpus.
   if [ ! -f data/local/lob-train-only.txt ]; then
     cat data/local/lobcorpus/0167/download/LOB_COCOA/lob.txt | \
-      local/remove_test_utterances_from_lob.py data/test/text.old data/val/text.old \
+      local/remove_test_utterances_from_lob.py data/test/text data/val/text \
                                                > data/local/lob-train-only.txt
   fi
   cat data/local/lob-train-only.txt > ${dir}/data/text/lob.txt
diff --git a/egs/uw3/v1/local/process_data.py b/egs/uw3/v1/local/process_data.py
index 3643c0aca89..23b8e5402cf 100755
--- a/egs/uw3/v1/local/process_data.py
+++ b/egs/uw3/v1/local/process_data.py
@@ -52,10 +52,10 @@
       # The dataset is randomly split train 95% and test 5%
       coin = random.randint(0, 20)
       if coin >= 1:
-        train_text_fh.write(utt_id + ' ' + text + '\n')
+        train_text_fh.write("{} {}\n".format(utt_id, text))
         train_utt2spk_fh.write("{} {}\n".format(utt_id, page_count))
-        train_image_fh.write("{} {}\n".format(utt_id, image_path)
+        train_image_fh.write("{} {}\n".format(utt_id, image_path))
       elif coin < 1:
         test_text_fh.write("{} {}\n".format(utt_id, text))
         test_utt2spk_fh.write("{} {}\n".format(utt_id, page_count))
-        train_image_fh.write("{} {}\n".format(utt_id, image_path)
+        train_image_fh.write("{} {}\n".format(utt_id, image_path))