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README.md
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dtype: float64
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splits:
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- name: test
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num_bytes: 4057693436
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num_examples: 177
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download_size: 4056401658
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dataset_size: 4057693436
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configs:
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- config_name: default
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data_files:
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- split: test
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path: data/test-*
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---
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dtype: float64
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splits:
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- name: test
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num_bytes: 4057693436
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num_examples: 177
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download_size: 4056401658
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dataset_size: 4057693436
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configs:
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- config_name: default
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data_files:
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- split: test
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path: data/test-*
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license: cc-by-nc-sa-4.0
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tags:
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- audio-to-midi
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- amt
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- midi
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- piano
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size_categories:
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- n<1K
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---
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# Mirror of the test set of MAESTRO V.3.0.0 dataset with `midi` and `audio` columns for midi file and audio in FLAC
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## Citation
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If you use this dataset, please cite the original paper:
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```bibtex
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@inproceedings{
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hawthorne2018enabling,
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title={Enabling Factorized Piano Music Modeling and Generation with the {MAESTRO} Dataset},
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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},
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booktitle={International Conference on Learning Representations},
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year={2019},
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url={https://openreview.net/forum?id=r1lYRjC9F7},
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}
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```
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