I would suggest starting with the Births Recode (BR) dataset, rather than the IR dataset, as that file is already reshaped.
If you want to reshape the file you can use something like:
use "NGIR6AFL.DTA"
* keep the variables of interest, e.g.
* If you don't limit the number of variables, the reshape is really, really slow.
keep caseid v000 v005 v008 v013 v201 b*
* Rename all of the repeating variables to drop the leading 0 to help with reshaping
rename b*_0* b*_*
* Reshape the file into a sibling history file
* This will be slow to run and could take 5 minutes or more.
reshape long bidx_ bord_ b0_ b1_ b2_ b3_ b4_ b5_ b6_ b7_ b8_ b9_ b10_ b11_ b12_ b13_ b15_ b16_, i(caseid) j(bindex)
* Rename to drop the trailing underscore on the end of the reshaped variables
rename b*_ b*
* Drop empty entries
drop if bidx==.