The Jazz Transformer on the Front Line: Exploring the Shortcomings of AI-composed Music through Quantitative Measures
Paper • 2008.01307 • Published
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PIECE_START COMPOSER=JOHN_FARNHAM PERIOD= GENRE=TIME_SIG=4/4 TRACK_START INST=122 DENSITY=0 BAR_START TIME_DELTA=48 BAR_END BAR_START TIME_DELTA=48 BAR_END BAR_START TIME_DELTA=48 BAR_END BAR_START TIME_DELTA=48 BAR_END BAR_START TIME_DELTA=48 BAR_END BAR_START TIME_DELTA=48 BAR_END BAR_START TIME_DELTA=48 BAR_END BAR_... |
PIECE_START COMPOSER=JOHN_FARNHAM PERIOD= GENRE=TIME_SIG=4/4 TRACK_START INST=122 DENSITY=0 BAR_START TIME_DELTA=48 BAR_END BAR_START TIME_DELTA=48 BAR_END BAR_START TIME_DELTA=48 BAR_END BAR_START TIME_DELTA=48 BAR_END BAR_START TIME_DELTA=48 BAR_END BAR_START TIME_DELTA=48 BAR_END BAR_START TIME_DELTA=48 BAR_END BAR_... |
PIECE_START COMPOSER=JOHN_FARNHAM PERIOD= GENRE=TIME_SIG=4/4 TRACK_START INST=122 DENSITY=0 BAR_START TIME_DELTA=48 BAR_END BAR_START TIME_DELTA=48 BAR_END BAR_START TIME_DELTA=48 BAR_END BAR_START TIME_DELTA=48 BAR_END BAR_START TIME_DELTA=48 BAR_END BAR_START TIME_DELTA=48 BAR_END BAR_START TIME_DELTA=48 BAR_END BAR_... |
PIECE_START COMPOSER=JOHN_FARNHAM PERIOD= GENRE=TIME_SIG=4/4 TRACK_START INST=122 DENSITY=0 BAR_START TIME_DELTA=48 BAR_END BAR_START TIME_DELTA=48 BAR_END BAR_START TIME_DELTA=48 BAR_END BAR_START TIME_DELTA=48 BAR_END BAR_START TIME_DELTA=48 BAR_END BAR_START TIME_DELTA=48 BAR_END BAR_START TIME_DELTA=48 BAR_END BAR_... |
PIECE_START COMPOSER=JOHN_FARNHAM PERIOD= GENRE=TIME_SIG=4/4 TRACK_START INST=122 DENSITY=0 BAR_START TIME_DELTA=48 BAR_END BAR_START TIME_DELTA=48 BAR_END BAR_START TIME_DELTA=48 BAR_END BAR_START TIME_DELTA=48 BAR_END BAR_START TIME_DELTA=48 BAR_END BAR_START TIME_DELTA=48 BAR_END BAR_START TIME_DELTA=48 BAR_END BAR_... |
PIECE_START COMPOSER=JOHN_FARNHAM PERIOD= GENRE=TIME_SIG=4/4 TRACK_START INST=122 DENSITY=0 BAR_START TIME_DELTA=48 BAR_END BAR_START TIME_DELTA=48 BAR_END BAR_START TIME_DELTA=48 BAR_END BAR_START TIME_DELTA=48 BAR_END BAR_START TIME_DELTA=48 BAR_END BAR_START TIME_DELTA=48 BAR_END BAR_START TIME_DELTA=48 BAR_END BAR_... |
PIECE_START COMPOSER=JOHN_FARNHAM PERIOD= GENRE=TIME_SIG=4/4 TRACK_START INST=122 DENSITY=0 BAR_START TIME_DELTA=48 BAR_END BAR_START TIME_DELTA=48 BAR_END BAR_START TIME_DELTA=48 BAR_END BAR_START TIME_DELTA=48 BAR_END BAR_START TIME_DELTA=48 BAR_END BAR_START TIME_DELTA=48 BAR_END BAR_START TIME_DELTA=48 BAR_END BAR_... |
PIECE_START COMPOSER=JOHN_FARNHAM PERIOD= GENRE=TIME_SIG=4/4 TRACK_START INST=122 DENSITY=0 BAR_START TIME_DELTA=48 BAR_END BAR_START TIME_DELTA=48 BAR_END BAR_START TIME_DELTA=48 BAR_END BAR_START TIME_DELTA=48 BAR_END BAR_START TIME_DELTA=48 BAR_END BAR_START TIME_DELTA=48 BAR_END BAR_START TIME_DELTA=48 BAR_END BAR_... |
PIECE_START COMPOSER=JOHN_FARNHAM PERIOD= GENRE=TIME_SIG=4/4 TRACK_START INST=122 DENSITY=0 BAR_START TIME_DELTA=48 BAR_END BAR_START TIME_DELTA=48 BAR_END BAR_START TIME_DELTA=48 BAR_END BAR_START TIME_DELTA=48 BAR_END BAR_START TIME_DELTA=48 BAR_END BAR_START TIME_DELTA=48 BAR_END BAR_START TIME_DELTA=48 BAR_END BAR_... |
PIECE_START COMPOSER=JOHN_FARNHAM PERIOD= GENRE=TIME_SIG=4/4 TRACK_START INST=122 DENSITY=0 BAR_START TIME_DELTA=48 BAR_END BAR_START TIME_DELTA=48 BAR_END BAR_START TIME_DELTA=48 BAR_END BAR_START TIME_DELTA=48 BAR_END BAR_START TIME_DELTA=48 BAR_END BAR_START TIME_DELTA=48 BAR_END BAR_START TIME_DELTA=48 BAR_END BAR_... |
Available at Portex
This dataset converts the Lakh MIDI Dataset into a structured text format inspired by the Multitrack Music Machine (MMM) paper. It includes 344,900 samples, each representing an 8-bar symbolic music fragment, tokenized into a language-model-friendly format.
Each line in the dataset is a music fragment composed of tokens like:
PIECE_START COMPOSER=JOHN_FARNHAM PERIOD= GENRE=TIME_SIG=4/4 TRACK_START INST=122 DENSITY=0 BAR_START TIME_DELTA=48 BAR_END ...
Symbolic music datasets in tokenized, language-model-ready formats are rare. This dataset bridges audio-derived symbolic data and the world of NLP modeling, saving hours of preprocessing and formatting work for researchers and ML developers.