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

Fuente: arXiv
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Auteurs principaux: Bradshaw, Louis, Colton, Simon
Format: Preprint
Publié: 2025
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author Bradshaw, Louis
Colton, Simon
author_facet Bradshaw, Louis
Colton, Simon
contents 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. Dataset available at https://github.com/loubbrad/aria-midi.
format Preprint
id arxiv_https___arxiv_org_abs_2504_15071
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Aria-MIDI: A Dataset of Piano MIDI Files for Symbolic Music Modeling
Bradshaw, Louis
Colton, Simon
Sound
Artificial Intelligence
Machine Learning
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. Dataset available at https://github.com/loubbrad/aria-midi.
title Aria-MIDI: A Dataset of Piano MIDI Files for Symbolic Music Modeling
topic Sound
Artificial Intelligence
Machine Learning
url https://arxiv.org/abs/2504.15071