Aria-MIDI: A Dataset of MIDI Files for Symbolic Music Modeling

ICLR 2025 Conference Submission1313 Authors

Keywords: music, symbolic music, piano transcription, dataset, midi

TL;DR: We introduce a dataset of MIDI files comprising roughly 100,000 hours of transcribed piano recordings.

Abstract:

We introduce an extensive new dataset of MIDI files, created by transcribing audio
recordings of piano performances into their constituent notes. The data pipeline
we use is multi-stage, employing a language model to autonomously crawl and
score audio recordings from the internet based on their metadata, followed by a
stage of pruning and segmentation using an audio classifier. The resulting dataset
contains over one million distinct MIDI files, comprising roughly 100,000 hours
of transcribed audio. We provide an in-depth analysis of our techniques, offering
statistical insights, and investigate the content by extracting metadata tags, which
we also provide.

Primary Area: datasets and benchmarks

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Submission Number: 1313