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--- |
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license: cc-by-nc-sa-4.0 |
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tags: |
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- mir |
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- music |
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- midi |
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- midi-dataset |
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--- |
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# Los Angeles MIDI Dataset |
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## SOTA kilo-scale MIDI dataset for MIR and Music AI purposes |
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## Search and explore Los Angeles MIDI dataset with Google Colab |
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[![Open In Colab][colab-badge]][colab-notebook3] |
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[colab-notebook3]: <https://colab.research.google.com/github/asigalov61/Los-Angeles-MIDI-Dataset/blob/main/Los_Angeles_MIDI_Dataset_Search_and_Explore.ipynb> |
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[colab-badge]: <https://colab.research.google.com/assets/colab-badge.svg> |
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*** |
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## [Los Angeles MIDI Dataset is now avaialable for download!!!](https://huggingface.co/datasets/projectlosangeles/Los-Angeles-MIDI-Dataset) |
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## Main Features: |
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### 1) ~240000 100% unique MIDIs to explore :) |
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### 2) Each MIDI file was read-checked and 100% de-duped |
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### 3) Extensive meta-data for each MIDI file |
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### 4) Detailed features matrix for each MIDI file |
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### 5) Helper Python code |
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*** |
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## NEW in version 2.0 |
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### 1) Quality over quantity: the dataset was reduced in half by triple-deduping (first by md5 hash, then by pitches sum, and then by pitches counts) |
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### 2) The dataset meta-data was extended to provide additional important info and to show more MIDI data |
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### 3) The dataset code/colab is now featuring super-fast MIDI searches (by pitches and by patches) |
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### 4) The dataset code/colab can now display and play each MIDI from the dataset |
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*** |
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```bibtex |
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@inproceedings{lev2022losangelesmididataset, |
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title = {Los Angeles MIDI Dataset: SOTA kilo-scale MIDI dataset for MIR and Music AI purposes}, |
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author = {Aleksandr Lev}, |
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booktitle = {GitHub}, |
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year = {2023}, |
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} |
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``` |
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*** |
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### Project Los Angeles |
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### Tegridy Code 2023 |
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