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Context: HLSD [13] is an online database of melody and chord annota- tions that cover various genres, such as the pop, new age, and original soundtracks. This dataset has been constructed on a crowdsourcing platform called TheoryTab, 1 in which users have transcribed a large number of high quality melodies and chords. This dataset contains the raw annotations of melodies and chords in XML format, JSON data of the symbolic fea- tures of melodies and chords, and piano-roll ﬁgures depicting the melody and chords. We use the JSON data for 9,218 songs divided into 13,335 parts. We also normalize all songs into C major or C minor, as in previous studies [10], [11]. Fol- lowing Sun et al. [11], we use 500 parts for the test set and the other 500 parts for the validation set. As a result, we use 32,619, 1,346, and 809 samples for the training, validation, and test sets, respectively.

Question: What is the benifit of using the HLSD dataset that does not contain various key signatures for evaluating the models?
Using the HLSD dataset without transposing to various key signatures, we can reproduce the baseline model performance with the same dataset setting to the previous studies and verify the proposed models compared to the baseline performance. Therefore, it is beneficial over only using a new dataset.