--- 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 *** ![Vintage_Los_Angeles_Print](https://user-images.githubusercontent.com/56325539/196157186-5b0edd15-020f-4877-a8e2-b1af42f960c6.jpg) *** ## Search and Explore Los Angeles MIDI dataset [![Open In Colab][colab-badge]][colab-notebook1] [colab-notebook1]: [colab-badge]: *** ## Master MIDI Dataset Search and Filter [![Open In Colab][colab-badge]][colab-notebook4] [colab-notebook4]: [colab-badge]: *** ## Make your own Los Angeles MIDI Dataset from any MIDI scrape [![Open In Colab][colab-badge]][colab-notebook2] [colab-notebook2]: [colab-badge]: *** ## Make your own Los Angeles MIDI Dataset Metadata [![Open In Colab][colab-badge]][colab-notebook3] [colab-notebook3]: [colab-badge]: *** ## [Los Angeles MIDI Dataset is now avaialable for download!!!](https://huggingface.co./datasets/projectlosangeles/Los-Angeles-MIDI-Dataset) *** ## Main Features: ### 1) ~245000 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) Helper Python code *** ## NEW in version 3.1 ### 1) Added 12280 new unique MIDIs *** ## NEW in version 3.0 ### 1) Quality over quantity: the dataset was further reduced by even more aggressive de-duping ### 2) The dataset meta-data was optimized, streamlined and compressed ### 3) MIDI Matrixes search and data was depreciated and removed to reduce the size of the dataset data *** ```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