How to read date in custom format from csv file?

I am parsing a csv file having data as

03-10-2016,18:00:00,2,6

When I am reading file creating schema as below

StructType schema = DataTypes.createStructType(Arrays.asList(
                DataTypes.createStructField("Date", DataTypes.DateType, false),
                DataTypes.createStructField("Time", DataTypes.TimestampType, false),
                DataTypes.createStructField("CO(GT)", DataTypes.IntegerType, false),
                DataTypes.createStructField("PT08.S1(CO)", DataTypes.IntegerType, false)))
Dataset<Row> df = spark.read().format("csv").option("Date", "dd-MM-yyyy").schema(schema).load("src/main/resources/AirQualityUCI/sample.csv");

Its producing below error as

Exception in task 0.0 in stage 0.0 (TID 0)
java.lang.IllegalArgumentException
    at java.sql.Date.valueOf(Unknown Source)
    at org.apache.spark.sql.catalyst.util.DateTimeUtils$.stringToTime(DateTimeUtils.scala:137)

I feel that it is due to date format error. What are the ways of converting them into specific formats?