address comments from @zsxwing

docs/structured-streaming-kafka-integration.md

@@ -120,6 +120,8 @@ ds3.selectExpr("CAST(key AS STRING)", "CAST(value AS STRING)")
 </div>
 
 ### Creating a Kafka Source Batch
+If you have a use case that is better suited to batch processing,
+you can create an Dataset/DataFrame for a defined range of offsets.
 
 <div class="codetabs">
 <div data-lang="scala" markdown="1">
@@ -170,8 +172,8 @@ Dataset<Row> ds1 = spark
   .format("kafka")
   .option("kafka.bootstrap.servers", "host1:port1,host2:port2")
   .option("subscribe", "topic1")
-  .load()
-ds1.selectExpr("CAST(key AS STRING)", "CAST(value AS STRING)")
+  .load();
+ds1.selectExpr("CAST(key AS STRING)", "CAST(value AS STRING)");
 
 // Subscribe to multiple topics, specifying explicit Kafka offsets
 Dataset<Row> ds2 = spark
@@ -181,8 +183,8 @@ Dataset<Row> ds2 = spark
   .option("subscribe", "topic1,topic2")
   .option("startingOffsets", "{\"topic1\":{\"0\":23,\"1\":-2},\"topic2\":{\"0\":-2}}")
   .option("endingOffsets", "{\"topic1\":{\"0\":50,\"1\":-1},\"topic2\":{\"0\":-1}}")
-  .load()
-ds2.selectExpr("CAST(key AS STRING)", "CAST(value AS STRING)")
+  .load();
+ds2.selectExpr("CAST(key AS STRING)", "CAST(value AS STRING)");
 
 // Subscribe to a pattern, at the earliest and latest offsets
 Dataset<Row> ds3 = spark
@@ -192,16 +194,16 @@ Dataset<Row> ds3 = spark
   .option("subscribePattern", "topic.*")
   .option("startingOffsets", "earliest")
   .option("endingOffsets", "latest")
-  .load()
-ds3.selectExpr("CAST(key AS STRING)", "CAST(value AS STRING)")
+  .load();
+ds3.selectExpr("CAST(key AS STRING)", "CAST(value AS STRING)");
 
 {% endhighlight %}
 </div>
 <div data-lang="python" markdown="1">
 {% highlight python %}
 
 # Subscribe to 1 topic defaults to the earliest and latest offsets
-ds1 = spark
+ds1 = spark \
   .read
   .format("kafka")
   .option("kafka.bootstrap.servers", "host1:port1,host2:port2")
@@ -210,7 +212,7 @@ ds1 = spark
 ds1.selectExpr("CAST(key AS STRING)", "CAST(value AS STRING)")
 
 # Subscribe to multiple topics, specifying explicit Kafka offsets
-ds2 = spark
+ds2 = spark \
   .read
   .format("kafka")
   .option("kafka.bootstrap.servers", "host1:port1,host2:port2")
@@ -221,7 +223,7 @@ ds2 = spark
 ds2.selectExpr("CAST(key AS STRING)", "CAST(value AS STRING)")
 
 # Subscribe to a pattern, at the earliest and latest offsets
-ds3 = spark
+ds3 = spark \
   .read
   .format("kafka")
   .option("kafka.bootstrap.servers", "host1:port1,host2:port2")
@@ -326,8 +328,8 @@ The following configurations are optional:
   </td>
   <td>latest</td>
   <td>batch only</td>
-  <td>The end point when a batch query is started, either "latest" which is just from the latest
-  offsets, or a json string specifying a starting offset for each TopicPartition.  In the json, -1
+  <td>The end point when a batch query is ended, either "latest" which is just referred to the
+  latest, or a json string specifying an ending offset for each TopicPartition.  In the json, -1
   as an offset can be used to refer to latest, and -2 (earliest) as an offset is not allowed.</td>
 </tr>
 <tr>