---
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},
}
```