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README.md
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license: cc-by-nc-sa-4.0
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---
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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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***
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![Vintage_Los_Angeles_Print](https://user-images.githubusercontent.com/56325539/196157186-5b0edd15-020f-4877-a8e2-b1af42f960c6.jpg)
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***
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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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***
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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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