Minor doc fixes [ci skip]
diff --git a/src/java/datafu/pig/sampling/ReservoirSample.java b/src/java/datafu/pig/sampling/ReservoirSample.java
index e1fe639..b1dce9d 100644
--- a/src/java/datafu/pig/sampling/ReservoirSample.java
+++ b/src/java/datafu/pig/sampling/ReservoirSample.java
@@ -30,7 +30,7 @@
import org.apache.pig.impl.logicalLayer.schema.Schema;
/**
- * Maintains an in-memory reservoir to produce a uniformly random sample set of a given size.
+ * Maintains an in-memory reservoir to produce a uniformly random sample of a given size.
* This algebraic implementation is backed by a heap and maintains the original roll in order
* to compensate for skew.
*
diff --git a/src/java/datafu/pig/sampling/SampleByKey.java b/src/java/datafu/pig/sampling/SampleByKey.java
index 02665b5..fda2de2 100644
--- a/src/java/datafu/pig/sampling/SampleByKey.java
+++ b/src/java/datafu/pig/sampling/SampleByKey.java
@@ -24,7 +24,7 @@
/**
* Provides a way of sampling tuples based on certain fields.
- * This is essentially equivalent to grouping on certain fields, applying SAMPLE,
+ * This is essentially equivalent to grouping on the fields, applying SAMPLE,
* and then flattening. It is much more efficient though because does not require
* a reduce step.
*
