The assignment involves implementing Hunt's algorithm to build a decision tree using Python. The input is a list of tuples where the first tuple describes the attribute types (nominal, ordinal, continuous, or label) and the rest of the list consists of fixed-sized integer-tuples. The output is a tree-like structure representing the decision tree. Two functions are required: one to build the decision tree and another to classify a given tuple based on the built tree.