Combining multiple struct into single struct in spark sql Scala

This is the input I have

val df = Seq(
  ("Adam","Angra", "Anastasia"),
  ("Boris","Borun", "Bisma"),
  ("Shawn","Samar", "Statham")
).toDF("fname", "mname", "lname")
df.createOrReplaceTempView("df")

I want Spark sql output to like below

struct
{"data_description":"fname","data_details":"Adam"},{"data_description":"mname","data_details":"Angra"},{"data_description":"lname","data_details":"Anastasia"}
{"data_description":"fname","data_details":"Boris"},{"data_description":"mname","data_details":"Borun"},{"data_description":"lname","data_details":"Bisma"}
{"data_description":"fname","data_details":"Shawn"},{"data_description":"mname","data_details":"Samar"},{"data_description":"lname","data_details":"Statham"}

So far I tried below

val df1 = spark.sql("""select concat(fname,':',mname,":",lname) as name from df""")
df1.createOrReplaceTempView("df1")

val df2 = spark.sql("""select named_struct('data_description','fname','data_details',split(name, ':')[0]) as struct1,named_struct('data_description','mname','data_details',split(name, ':')[1]) as struct2, named_struct('data_description','lname','data_details',split(name, ':')[2]) as struct3 from df1""")
df2.createOrReplaceTempView("df2")

The output from above

struct1 struct2 struct3
{"data_description":"fname","data_details":"Adam"}  {"data_description":"mname","data_details":"Angra"} {"data_description":"lname","data_details":"Anastasia"}
{"data_description":"fname","data_details":"Boris"} {"data_description":"mname","data_details":"Borun"} {"data_description":"lname","data_details":"Bisma"}
{"data_description":"fname","data_details":"Shawn"} {"data_description":"mname","data_details":"Samar"} {"data_description":"lname","data_details":"Statham"}

But I get 3 different struct I need all in one single struct separated by commas