metadata
dataset_info:
features:
- name: canonical_composer
dtype: string
- name: canonical_title
dtype: string
- name: split
dtype: string
- name: year
dtype: int64
- name: midi
dtype: binary
- name: audio
dtype: audio
- name: duration
dtype: float64
splits:
- name: test
num_bytes: 4057693436
num_examples: 177
download_size: 4056401658
dataset_size: 4057693436
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
license: cc-by-nc-sa-4.0
tags:
- audio-to-midi
- amt
- midi
- piano
size_categories:
- n<1K
Mirror of the test set of MAESTRO V.3.0.0 dataset with midi and audio columns for midi file and audio in FLAC
Citation
If you use this dataset, please cite the original paper:
@inproceedings{
hawthorne2018enabling,
title={Enabling Factorized Piano Music Modeling and Generation with the {MAESTRO} Dataset},
author={Curtis Hawthorne and Andriy Stasyuk and Adam Roberts and Ian Simon and Cheng-Zhi Anna Huang and Sander Dieleman and Erich Elsen and Jesse Engel and Douglas Eck},
booktitle={International Conference on Learning Representations},
year={2019},
url={https://openreview.net/forum?id=r1lYRjC9F7},
}