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products = train_df[["StockCode", "Description"]]
# remove duplicates
products.drop_duplicates(inplace=True, subset='StockCode', keep="last")
# create product-ID and product-description dictionary
products_dict = products.groupby('StockCode')['Description'].apply(list).to_dict()
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