Double nested Awkward arrays are STL:Vector using library="pd"

[mghern]

While trying to opening double nested root arrays with pandas, the array type remains as STLVector. The data I'm using has index, subindex and subsubindex. The double nested array opens fine with the default awkward opening.

import uproot
data = uproot.open("file.root").arrays(['Double Nested', 'Single Nested'], library="pd")
print(type(data.iloc[0]['Double Nested']), type(data.iloc[0]['Single Nested']))

<class 'uproot.containers.STLVector'> <class 'awkward.highlevel.Array'>

While opening data with the normal awkward is the expected awkward array type

import uproot
data = uproot.open("file.root").arrays(['Double Nested', 'Single Nested'])
print(type(data[0]['Double Nested']), type(data[0]['Single Nested']))

<class 'awkward.highlevel.Array'> <class 'awkward.highlevel.Array'>

I'm using uproot 5.0.7, pandas 2.0.1 and awkward-pandas 2022.12a1.