How to convert rows under a column into a list under a dictionary under a list under a dictionary?

Question

I have an excel file with the below column name as variantID and corresponding elements. I want the final output as {"filters":[{"tags":[{"k":201,"v":"201"},{"k":202,"v":"202"}],"name":"custom-variants","show":true,"isSelected":false}],"start":0}, in which values for k and v will keep on increasing inside the list, which is in place of "value" in key-value pair of "tags", as per the number of rows and corresponding elemnts in the variantID column, however everything such as "filters", "tags", "name":"custom-variants","show":true,"isSelected":false must be constant. I have used the below code to get k, v values as per the data provided below :-

import pandas as pd
import json
data = pd.read_excel("C:\\Users\\Bijnis\\Desktop\\Variant_ID.xlsx")
data['variantID1'] = data['variantID'] / 1
data['variantID1'] = data['variantID'].astype(int)
data['variantID1'] = data['variantID'].astype(str)
data.rename(columns = {'variantID' : 'k', 'variantID1' : 'v'}, inplace = True)
f=data.to_dict('records')
z = print(json.dumps(f))

My output so far has been till this only : [{"k": 201, "v": "201"}, {"k": 202, "v": "202"}, {"k": 203, "v": "203"}, {"k": 204, "v": "204"}, {"k": 205, "v": "205"}]

But I have no clue about how to keep other things constant and get the output as mentioned above.

variantID 201 202 203 204 205