diff --git a/hadoop-mapreduce-project/CHANGES.txt b/hadoop-mapreduce-project/CHANGES.txt
index 3b2470d270..de5b703ba6 100644
--- a/hadoop-mapreduce-project/CHANGES.txt
+++ b/hadoop-mapreduce-project/CHANGES.txt
@@ -113,6 +113,8 @@ Release 0.23.3 - UNRELEASED
     MAPREDUCE-3885. Avoid an unnecessary copy for all requests/responses in 
     MRs ProtoOverHadoopRpcEngine. (Devaraj Das via sseth)
 
+    MAPREDUCE-3991. Streaming FAQ has some wrong instructions about input files splitting. (harsh)
+
   OPTIMIZATIONS
 
   BUG FIXES
diff --git a/hadoop-mapreduce-project/src/docs/src/documentation/content/xdocs/streaming.xml b/hadoop-mapreduce-project/src/docs/src/documentation/content/xdocs/streaming.xml
index a1013e8dc9..2ae6858b70 100644
--- a/hadoop-mapreduce-project/src/docs/src/documentation/content/xdocs/streaming.xml
+++ b/hadoop-mapreduce-project/src/docs/src/documentation/content/xdocs/streaming.xml
@@ -750,7 +750,7 @@ You can use Hadoop Streaming to do this.
 As an example, consider the problem of zipping (compressing) a set of files across the hadoop cluster. You can achieve this using either of these methods:
 </p><ol>
 <li> Hadoop Streaming and custom mapper script:<ul>
-  <li> Generate a file containing the full HDFS path of the input files. Each map task would get one file name as input.</li>
+  <li> Generate files listing the full HDFS paths of the files to be processed. Each list file is the input for an individual map task which processes the files listed.</li>
   <li> Create a mapper script which, given a filename, will get the file to local disk, gzip the file and put it back in the desired output directory</li>
 </ul></li>
 <li>The existing Hadoop Framework:<ul>