Convert pipelineRDD into an parellelel RDD of to convert in into a spark-dataframe with 164 columns

Question

I want to convert the following shown pipeline RDD into a parallel RDD of the form mention below

Here's the schema:

schemaString = "S"
fields = [StructField(schemaString + str(i), FloatType(), True) for i in range(164)]
schema = StructType(fields)

so that it can be finally convert it into a data frame with 164 columns.

I am finding difficulty in clubbing every 164 numbers together.

 dec_RDD.take(4)
 [(120,), (-119,), (-125,), (-119,)]

new_dec_RDD should be like this
[(120,-119,-125,-119,..........164 row elements),
(          164 row elements                  ),]