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In this work, we describe the preparation of a dataset of contact forces obtained with eight force tactile sensors for determining the underlying surface of a walking robot. The data is acquired for four floors with different coefficient of friction, and different robot gaits and speeds. To classify the different floors, the data is used as input for two common computational intelligence techniques (CITs): Artificial neural network (ANN) and extreme learning machine (ELM). 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