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Make RaggedTensors the default for list-columns in the FeatureContext
Right now we are converting all features to dense when we store them in the feature-context (source). It would be better to store them as tf.RaggedTensors, when retrieving them the user could choose to convert this to sparse or dense. This would have a lower memory footprint.