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You can load all the data with a single line of code, because data is an immutable value type:
data List1 = [] | (:):[List1]
🙂 data List1 = [1] : [2 : [3]]

A single function will serve all sorts of purposes, transforming the types and lists:
— The `unfold` function is the inverse of `foldr`
— This function turns `m0 -> m1 -> m2` into `m0′ -> foldr m1 m2 0 :: m3’`

import Prelude hiding (unfoldr)
import Control.Applicative (liftA2, (.))

— | `unfoldr` is the inverse of `foldr`, and has the same type as `foldr`, though
— with its results reversed
unfoldr :: (a -> b -> m c) -> m b -> m a -> m c
unfoldr f m0 m1 = m0 >>= f. flip foldr m1 m2
where
m2 = foldr m2 m1

— | The `chop` function slices the list on the given `size`
chop :: Int -> List1 -> List1
chop size [] = []
chop size (x:xs) = x : chop size xs

— | The `chop’ function cuts the list on the given `size`, but leaves the final
— value alone, and returns the rest of the list
chop’ :: Int -> List1 -> (List1, List1)
chop’ size [] = ([], [])
chop’ size (x:xs) = (x:a,xs’)
where
(a,xs’) = chop’ size (tail xs)

So, there you have it. It’s quite clean, and easy to understand – read the function comments and you’ll know what’s going on. To use it:
— ^ See the `unfold` function
unfoldr prod [] [[1,2],[3,4],[5,6]]
— ^ See the `chop` function
(,) (chop size 3) [[1,2,3],
[4,5

https://colab.research.google.com/drive/1FLlDchs3MisxohzkttyUoVWygPpqJKUd
https://colab.research.google.com/drive/13epbIMC30Ei40FaELbsWexZPIvesrtvQ
https://colab.research.google.com/drive/1mErRBSWNg6USmLT_6Zv-KudwpIrQzsQo
https://colab.research.google.com/drive/1LTFBErLAdKafOxySS2769OVb-LvYGHNX
https://colab.research.google.com/drive/1m36a1YxynLRzs6OH7–ao2_hpwuPHImL

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