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Scenario: Iceberg Lounge, Gotham’s premier nightclub and Penguin’s operational hub, is renowned for its high-end experience while serving as a front for his underground dealings. You have been hired as a contractor, consulting on various IT functions to enhance their technology infrastructure. Oswald Cobblepot’s IT team is working on a machine learning model in Python using scikit-learn . The dataset consists of multiple numerical columns and a single text column representing product categories , which include: Bikes Cars Vans Boats To build a regression model , the team needs to transform the text data into a format compatible with scikit-learn. Given code snippet: python from sklearn import linear_model import pandas as pd dataset = df . read_csv ( "data\ProductSales.csv" ) ProductCategoryMapping = { "Bikes" : 1 , "Cars" : 2 , "Boats" : 3 , "Vans" : 4 } dataset [ 'ProductCategoryMapping' ] = dataset [ 'ProductCategory' ][?] regr = linear_model . LinearRegression () x_train = dataset [[ 'ProductCategoryMapping' , 'ProductSize' , 'ProductCost' ]] y_train = dataset [[ 'Sales' ]] regr . fit ( x_train , y_train ) Question: What value should replace [?] to correctly transform the text data for compatibility with scikit-learn?