File size: 1,245 Bytes
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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:
```bibtex
@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},
}
``` |