Note

I did not have any part in creating this dataset I am only uploading it here to make it easily available to others on Kaggle. More info about the dataset can be found here https://magenta.tensorflow.org/datasets/maestro

Wav -> mp3 Conversion

I had to convert the wav audio files to mp3 so the dataset would fit within Kaggle's 20gb limit, therefore all audio files have the extension .mp3 which is inconsistent with the .wav extensions in the .csv meta files.

Summary

MAESTRO (MIDI and Audio Edited for Synchronous Tracks and Organization) is a dataset composed of over 200 hours of virtuosic piano performances captured with fine alignment (~3 ms) between note labels and audio waveforms.

Dataset (from the Magenta site https://magenta.tensorflow.org/datasets/maestro )

We partnered with organizers of the International Piano-e-Competition for the raw data used in this dataset. During each installment of the competition virtuoso pianists perform on Yamaha Disklaviers which, in addition to being concert-quality acoustic grand pianos, utilize an integrated high-precision MIDI capture and playback system. Recorded MIDI data is of sufficient fidelity to allow the audition stage of the competition to be judged remotely by listening to contestant performances reproduced over the wire on another Disklavier instrument.

The dataset contains over 200 hours of paired audio and MIDI recordings from ten years of International Piano-e-Competition. The MIDI data includes key strike velocities and sustain/sostenuto/una corda pedal positions. Audio and MIDI files are aligned with ∼3 ms accuracy and sliced to individual musical pieces, which are annotated with composer, title, and year of performance. Uncompressed audio is of CD quality or higher (44.1–48 kHz 16-bit PCM stereo).

A train/validation/test split configuration is also proposed, so that the same composition, even if performed by multiple contestants, does not appear in multiple subsets. Repertoire is mostly classical, including composers from the 17th to early 20th century.

For more information about how the dataset was created and several applications of it, please see the paper where it was introduced: Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset.

For an example application of the dataset, see our blog post on Wave2Midi2Wave.

License

The dataset is made available by Google LLC under a Creative Commons Attribution Non-Commercial Share-Alike 4.0 (CC BY-NC-SA 4.0) license.

Acknowledgements

More info on the MAESTRO dataset https://magenta.tensorflow.org/datasets/maestro Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset https://arxiv.org/abs/1810.12247

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.

927598 Global exporters importers export import shipment records of Magenta with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

This dataset provides information about the number of properties, residents, and average property values for Magenta Drive cross streets in Noblesville, IN.

This dataset provides information about the number of properties, residents, and average property values for Magenta Drive cross streets in Citrus Springs, FL.

This dataset provides information about the number of properties, residents, and average property values for Magenta Court cross streets in Roseville, CA.

Customs records of are available for MAGENTA TECHNOLOGY INTERNATION. Learn about its Importer, supply capabilities and the countries to which it supplies goods

This dataset provides information about the number of properties, residents, and average property values for Magenta Circle cross streets in Medford, OR.

Customs records of are available for MAGENTA TECHNOLOGY INTERNATIONAL LIMITED. Learn about its Importer, supply capabilities and the countries to which it supplies goods

Eximpedia Export import trade data lets you search trade data and active Exporters, Importers, Buyers, Suppliers, manufacturers exporters from over 209 countries

wrahmed/magento dataset hosted on Hugging Face and contributed by the HF Datasets community

Identify fastest-growing Database Management Software keywords on Magento. Analyze trending scores to identify the most relevant search terms and stay ahead of market trends for your store.

583 Global import shipment records of Magenta Base with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

This dataset provides information about the number of properties, residents, and average property values for Magenta Street cross streets in Manassas, VA.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

Customs records of Ca are available for MAGENTA VISION. Learn about its Importer, supply capabilities and the countries to which it supplies goods

Market value analysis based on 14 actual sales showing current worth and pricing trends

This dataset contains annual sales trends history for Magenta, 2261 covering median prices, sales volumes, resales capital growth and more. Based on sales data from the NSW Valuer General analysed by AreaSearch.

Market value analysis based on 14 actual sales showing current worth and pricing trends

Customs records of are available for IMPRIMERIE MAGENTA. Learn about its Importer, supply capabilities and the countries to which it supplies goods

Customs records of are available for MAGENTA MASTER FIBERS S.R.L.. Learn about its Importer, supply capabilities and the countries to which it supplies goods