Github user HyukjinKwon commented on a diff in the pull request:
    --- Diff: docs/ ---
    @@ -422,8 +422,8 @@ In the simplest form, the default data source 
(`parquet` unless otherwise config
     You can also manually specify the data source that will be used along with 
any extra options
     that you would like to pass to the data source. Data sources are specified 
by their fully qualified
     name (i.e., `org.apache.spark.sql.parquet`), but for built-in sources you 
can also use their short
    -names (`json`, `parquet`, `jdbc`). DataFrames loaded from any data source 
type can be converted into other types
    -using this syntax.
    +names (`json`, `parquet`, `jdbc`, `orc`, `libsvm`, `csv`). DataFrames 
loaded from any data source
    --- End diff --
    Maybe we should add `text` as well.

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