| --- |
| 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}, |
| } |
| ``` |
