Github user liancheng commented on a diff in the pull request:
https://github.com/apache/spark/pull/13592#discussion_r66663638
--- Diff: docs/sql-programming-guide.md ---
@@ -184,20 +175,20 @@ showDF(df)
</div>
-## DataFrame Operations
+## Untyped Dataset Operations
-DataFrames provide a domain-specific language for structured data
manipulation in [Scala](api/scala/index.html#org.apache.spark.sql.DataFrame),
[Java](api/java/index.html?org/apache/spark/sql/DataFrame.html),
[Python](api/python/pyspark.sql.html#pyspark.sql.DataFrame) and
[R](api/R/DataFrame.html).
+Datasets provide an untyped domain-specific language for structured data
manipulation in [Scala](api/scala/index.html#org.apache.spark.sql.Dataset),
[Java](api/java/index.html?org/apache/spark/sql/Dataset.html),
[Python](api/python/pyspark.sql.html#pyspark.sql.DataFrame) and
[R](api/R/DataFrame.html).
--- End diff --
Updated. The current strategy is only use "Dataset" when it's clearly in
the context of Java and/or Scala API.
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