When using the Airfoil Self-Noise dataset to compare optimization algorithms, the data is typically whitened as a preprocessing step by removing the per-coordinate mean and rescaling the variance to 1 per coordinate. For convenience, experiments may also use a subset of the data, such as the first 1,500 examples, before organizing it into minibatches for training.