---
license: cc-by-nc-sa-4.0
tags:
- mir
- music
- midi
- midi-dataset
---

# Los Angeles MIDI Dataset
## SOTA kilo-scale MIDI dataset for MIR and Music AI purposes

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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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## Search and explore Los Angeles MIDI dataset with Google Colab

[![Open In Colab][colab-badge]][colab-notebook3]

[colab-notebook3]: <https://colab.research.google.com/github/asigalov61/Los-Angeles-MIDI-Dataset/blob/main/Los_Angeles_MIDI_Dataset_Search_and_Explore.ipynb>
[colab-badge]: <https://colab.research.google.com/assets/colab-badge.svg>

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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:

### 1) ~240000 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) Detailed features matrix for each MIDI file
### 5) Helper Python code

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## NEW in version 2.0

### 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)
### 2) The dataset meta-data was extended to provide additional important info and to show more MIDI data
### 3) The dataset code/colab is now featuring super-fast MIDI searches (by pitches and by patches)
### 4) The dataset code/colab can now display and play each MIDI from the dataset

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```bibtex
@inproceedings{lev2022losangelesmididataset,
    title       = {Los Angeles MIDI Dataset: SOTA kilo-scale MIDI dataset for MIR and Music AI purposes},
    author      = {Aleksandr Lev},
    booktitle   = {GitHub},
    year        = {2023},
}
```

***

### Project Los Angeles
### Tegridy Code 2023