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HANOI challenge
# HANOI Challenge
This challenge is based on the contents of the HANOI corpus described in detail below. This is a binary classification challenge: the aim is to classify interpreter notes as either being written by a trainee or a professional. The training split of the dataset consists of 905 training examples in the form of scans of interpreter notes, with 744 of them being made by professionals and 160 by trainees (university students during an interpreting course).