<｜begin▁of▁sentence｜>### Instruction:
As a Market Analyst, I work with a dataset of customer preferences in terms of purchasing fruits and vegetables at a local grocery store. The dataset is structured as a multidict object with the keys 'fruit' and 'vegetable', each containing multiple values representing different preferences of the customers.

Using the 'lists' method provided by networkx, I need to extract a list of (key, values) pairs from the dataset. This information will help me understand the distribution of customer preferences for fruits and vegetables and make informed recommendations to the grocery store on their product offerings.
### Response:
from multidict import MultiDict

# create a multidict object with some key-values
d = MultiDict([('fruit', 'apple'), ('fruit', 'banana'), ('vegetable', 'carrot'), ('fruit', 'apple')])

# using lists method to get key-value pairs with list of values
key_value_list = d.lists()

print(key_value_list)
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