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SOTA kilo-scale MIDI dataset for MIR and Music AI purposes

Home Page: https://huggingface.co/datasets/projectlosangeles/Los-Angeles-MIDI-Dataset

License: Apache License 2.0

Python 73.67% Jupyter Notebook 26.33%
midi dataset music-information-retrieval music-ai los-angeles midi-dataset music large-scale-dataset mir music-information-restrieval

los-angeles-midi-dataset's Introduction

Los Angeles MIDI Dataset

SOTA kilo-scale MIDI dataset for MIR and Music AI purposes


Vintage_Los_Angeles_Print


Search and Explore Los Angeles MIDI dataset

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[NEW] Master MIDI Dataset GPU Search and Filter

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Master MIDI Dataset Search and Filter

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Make your own Los Angeles MIDI Dataset from any MIDI scrape

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Make your own Los Angeles MIDI Dataset Metadata

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Main Features:

1) ~405000 100% unique MIDIs to explore :)

2) Each MIDI file was read-checked and 100% de-duped

3) Extensive meta-data for each MIDI file

4) Full chords data for each MIDI file

5) Helper Python code


NEW in version 4.0

1) Added 160519 new unique MIDIs

2) Dataset now contains 404714 MIDIs

3) Removed all malformed MIDIs

4) Expanded dataset MIDIs metadata

5) Added MIDIs chords database

6) Updated dataset concept artwork

Enjoy! :)


@inproceedings{lev2024losangelesmididataset,
    title       = {Los Angeles MIDI Dataset: SOTA kilo-scale MIDI dataset for MIR and Music AI purposes},
    author      = {Aleksandr Lev},
    booktitle   = {GitHub},
    year        = {2024},
}

Project Los Angeles

Tegridy Code 2024

los-angeles-midi-dataset's People

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los-angeles-midi-dataset's Issues

Unable to locate the 'ticks' parameter in the metadata

Thank you so much for this dataset. I'm currently exploring and playing around with it, however I think I may be missing something very basic here.

I used the unpacked meta_data from here
meta_data = pickle.load(open('/home/s_ani/home/datasets_lemo/LA_midi/Los-Angeles-MIDI-Dataset/META-DATA/LAMDa_META_DATA.pickle', 'rb'))

And when I check for one MIDI, I couldn't find the 'ticks' required by the opus2midi function from MIDI.py:

def opus2midi(opus=[]):
    r'''The argument is a list: the first item in the list is the "ticks"
parameter, the others are the tracks. Each track is a list
of midi-events, and each event is itself a list; see above.
opus2midi() returns a bytestring of the MIDI, which can then be
written either to a file opened in binary mode (mode='wb'),
or to stdout by means of:   sys.stdout.buffer.write()

The only information I do have is set_tempo, and I'm wondering how to come up with the 'ticks' parameter. I hope to thereafter write out like a MIDI file. Maybe this is not the intended way to load and use this dataset, or maybe I'm missing some understanding of the 'ticks' concept. Any help/suggestions would be very helpful!

Thanks.

Where do the chords come from?

Did you automatically extract/predict them? If so, how?

Do you have a paper or report that you can share, on how you collected the data etc?

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