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@@ -17,13 +17,38 @@ dataset_info:
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  dtype: float64
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  splits:
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  - name: test
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- num_bytes: 4057693436.0
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  num_examples: 177
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  download_size: 4056401658
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- dataset_size: 4057693436.0
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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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+
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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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+
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+ ## Citation
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+
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+ If you use this dataset, please cite the original paper:
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+
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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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+ ```