parsing 3 lists into list of dictionaries in python

I'm parsing a csv line by line. There are 3 columns in a row that need to be each split into lists and then combined into dictionaries in a list. The data inside each column is separated by two pipes: ||

incoming data:

buttons, clicked, id
choice 1 || choice 2 || choice 3, TRUE || FALSE || FALSE, choice 1 id|| choice 2 id || choice 3 id

• the data was already imported via csv DiskReader and each row in the script is ordered dictionary and looks like:

('buttons','choice 1 || choice 2 || choice 3'),
('clicked', 'TRUE || FALSE || FALSE'),
('id','choice 1 id|| choice 2 id || choice 3 id'),

EDITED TO ADD:
input has a lot more columns that should not be included. only these 3 columns are included for this step.

i.e. sample output of a row that is being processed

print(data[0])

OrderedDict([
('pathId', 'test_id'),
('stepId', ''),
('nodeId', 'ROOT'),
('responseId', 'test_response'),
('responseUuid', ''),
('type', ''),
('language', 'en-US'),
('buttons','choice 1 || choice 2 || choice 3'),
('clicked', 'TRUE || FALSE || FALSE'),
('id','choice 1 id|| choice 2 id || choice 3 id'),
('state', 'resolved'),
('flags', 'accepted')])

the actual number of columns is dynamic and unpredictable. But in rows that contain values for buttons, clicked and id will need this processing.
END EDIT

Expected output for this row needs to be:

buttonChoices =
[
    {
        "button": "choice 1",
        "clicked": true,
        "id": "choice 1 id"
    },
    {
        "button": "choice 2",
        "clicked": false,
        "id": "choice 2 id"
    },
    {
        "button": "choice 3",
        "clicked": false,
        "id": "choice 3 id"
    }
]

• i don't know in advance how many values will be in the list, but it will be same in these 3 columns

For now I have:

for row in data:
    buttonChoices = []
    buttonText = row['button'].split('||')
    buttonClicked = row['clicked'].split('||')
    buttonId = row['id'].split('||')

but stuck for next step