In sequence learning problems such as tagging and parsing, aligned data refers to datasets where the input and output sequences have a direct, one-to-one correspondence. Specifically, the inputs and outputs contain the same number of elements and occur in the exact same order. For example, in part-of-speech tagging, every single word in an input sentence is assigned a corresponding part-of-speech tag in the output sequence.