Published February 12, 2025
| Version v1
Dataset
Open
maestro in WebDataset Format Creators
Authors/Creators
Description
This dataset is the maestro dataset, formatted in the WebDataset format. WebDataset files are essentially tar archives, where each example in the dataset is represented by a pair of files: a WAV audio file and a corresponding JSON metadata file. The JSON file contains the class label and other relevant information for that particular audio sample.
$ tar tvf maestro_train_000000.tar|head
-r--r--r-- bigdata/bigdata 327458 2025-01-23 13:26 MIDI-Unprocessed_XP_15_R2_2004_01_ORIG_MID--AUDIO_15_R2_2004_02_Track02_wav.json
-r--r--r-- bigdata/bigdata 120375940 2025-01-23 13:26 MIDI-Unprocessed_XP_15_R2_2004_01_ORIG_MID--AUDIO_15_R2_2004_02_Track02_wav.wav
-r--r--r-- bigdata/bigdata 625054 2025-01-23 13:26 MIDI-Unprocessed_13_R1_2009_01-03_ORIG_MID--AUDIO_13_R1_2009_13_R1_2009_03_WAV.json
-r--r--r-- bigdata/bigdata 137713368 2025-01-23 13:26 MIDI-Unprocessed_13_R1_2009_01-03_ORIG_MID--AUDIO_13_R1_2009_13_R1_2009_03_WAV.wav
-r--r--r-- bigdata/bigdata 356393 2025-01-23 13:26 MIDI-Unprocessed_XP_17_R2_2004_01_ORIG_MID--AUDIO_17_R2_2004_01_Track01_wav.json
-r--r--r-- bigdata/bigdata 132159804 2025-01-23 13:26 MIDI-Unprocessed_XP_17_R2_2004_01_ORIG_MID--AUDIO_17_R2_2004_01_Track01_wav.wav
-r--r--r-- bigdata/bigdata 255210 2025-01-23 13:26 ORIG-MIDI_01_7_6_13_Group__MID--AUDIO_01_R1_2013_wav--2.json
-r--r--r-- bigdata/bigdata 58523088 2025-01-23 13:26 ORIG-MIDI_01_7_6_13_Group__MID--AUDIO_01_R1_2013_wav--2.wav
-r--r--r-- bigdata/bigdata 1190145 2025-01-23 13:26 MIDI-UNPROCESSED_04-07-08-10-12-15-17_R2_2014_MID--AUDIO_17_R2_2014_wav.json
-r--r--r-- bigdata/bigdata 390151460 2025-01-23 13:26 MIDI-UNPROCESSED_04-07-08-10-12-15-17_R2_2014_MID--AUDIO_17_R2_2014_wav.wav
$ cat ORIG-MIDI_01_7_6_13_Group__MID--AUDIO_01_R1_2013_wav--2.json
[
...
{"start": 323.546875, "end": 323.5859375, "note": 51},
{"start": 323.703125, "end": 323.74869791666663, "note": 51},
{"start": 323.8450520833333, "end": 323.8919270833333, "note": 51},
{"start": 324.00390625, "end": 324.0442708333333, "note": 51},
...
]Files
Files
(22.9 GB)
| Name | Size | |
|---|---|---|
|
md5:7890feb9097ce68d85efd33810417cb1
|
3.2 GB | Download |
|
md5:74aa0d4a2819980deaac8e51bbfc4190
|
1.8 GB | Download |
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md5:912c91263974c7ebb5e03b959d722148
|
3.0 GB | Download |
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md5:60f744159e2241dfd1f7dd61c031ff75
|
3.3 GB | Download |
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md5:e9a1980d49352a551387730386bd8b69
|
3.0 GB | Download |
|
md5:c5bb7e4a7fd12b8957673957c8c99d19
|
3.1 GB | Download |
|
md5:8fb1f1780eb72291b7dd5a54bc1b7de4
|
212.5 MB | Download |
|
md5:4342d107f0b51a3fe2c0f48a9e481943
|
3.1 GB | Download |
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md5:cf45978813ffdf516c529a31ef1347d8
|
2.1 GB | Download |
Additional details
References
- Curtis Hawthorne, Andriy Stasyuk, Adam Roberts, Ian Simon, Cheng-Zhi Anna Huang, Sander Dieleman, Erich Elsen, Jesse Engel, and Douglas Eck. "Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset." In International Conference on Learning Representations, 2019.