| --- |
| license: cc-by-4.0 |
| pretty_name: Expanded Groove MIDI Dataset |
| task_categories: |
| - audio-classification |
| size_categories: |
| - 10K<n<100K |
| tags: |
| - format:audiofolder |
| - modality:audio |
| - modality:text |
| - library:datasets |
| - library:mlcroissant |
| - midi |
| - drums |
| - percussion |
| - drum-transcription |
| - music-information-retrieval |
| - automatic-drum-transcription |
| --- |
| |
| # Expanded Groove MIDI Dataset (E-GMD) |
|
|
| This repository mirrors version 1.0.0 of Google's Expanded Groove MIDI Dataset |
| (E-GMD) for access through the Hugging Face Hub. |
|
|
| E-GMD is a large dataset of human drum performances with audio recordings |
| annotated in MIDI. It contains 444.5 hours of audio from 43 drum kits, with the |
| same train, validation, and test split definitions as the original Groove MIDI |
| Dataset. |
|
|
| ## Quick Start |
|
|
| ```python |
| from datasets import load_dataset |
| |
| ds = load_dataset("schism-audio/e-gmd", split="train", streaming=True) |
| first = next(iter(ds)) |
| print(first["audio"], first["midi_path"], first["split"]) |
| ``` |
|
|
| ## Repository Layout |
|
|
| The original archive contains some session folders with more than 10,000 files, |
| which exceeds Hugging Face Hub's per-folder repository limit. This mirror keeps |
| the original filenames and original drummer/session paths, but stages files under |
| split and kit directories: |
|
|
| ```text |
| audio/{split}/{kit_slug}/{original_drummer/session/path}.wav |
| midi/{split}/{kit_slug}/{original_drummer/session/path}.midi |
| metadata.csv |
| metadata/{split}.csv |
| metadata/all.csv |
| e-gmd-v1.0.0.csv |
| ``` |
|
|
| The root `metadata.csv` follows the AudioFolder convention and contains one row |
| per WAV file. The `file_name` column points at the audio file, and the remaining |
| columns preserve E-GMD metadata plus the paired MIDI path. |
|
|
| The `metadata/*.csv` files are retained from the original mirror and add these |
| path columns: |
|
|
| - `file_name`: audio path relative to the split folder |
| - `audio_path`: audio path relative to the repository root |
| - `midi_path`: paired MIDI path relative to the repository root |
| - `original_audio_filename`: original archive audio path |
| - `original_midi_filename`: original archive MIDI path |
|
|
| ## Loading Audio With Metadata |
|
|
| The default dataset is loadable with `datasets` through the AudioFolder |
| convention: |
|
|
| ```python |
| from datasets import load_dataset |
| |
| train = load_dataset("schism-audio/e-gmd", split="train", streaming=True) |
| print(train[0]["audio"], train[0]["midi_path"]) |
| ``` |
|
|
| The official train/test/validation split is preserved in the `split` column. |
| The paired MIDI file for each row is available through `midi_path`. |
|
|
| ## Splits |
|
|
| | Split | Unique sequences | Total sequences | Duration | |
| |---|---:|---:|---:| |
| | Train | 819 | 35,217 | 341.4 hours | |
| | Test | 123 | 5,289 | 50.9 hours | |
| | Validation | 117 | 5,031 | 52.2 hours | |
| | Total | 1,059 | 45,537 | 444.5 hours | |
|
|
| ## License |
|
|
| The dataset is made available by Google LLC under the Creative Commons |
| Attribution 4.0 International license (CC BY 4.0). |
|
|
| ## Source |
|
|
| - Official Magenta page: https://magenta.tensorflow.org/datasets/e-gmd |
| - Zenodo record: https://zenodo.org/records/4300943 |
| - Version: 1.0.0 |
| - Original full archive SHA256: |
| `7d9a264fb4c9eabd9fec09d5f8e333192f529b1a1b845d170279a977ac436053` |
|
|
| ## Citation |
|
|
| If you use this dataset, cite the original E-GMD paper and specify version |
| 1.0.0: |
|
|
| ```bibtex |
| @misc{callender2020improving, |
| title={Improving Perceptual Quality of Drum Transcription with the Expanded Groove MIDI Dataset}, |
| author={Lee Callender and Curtis Hawthorne and Jesse Engel}, |
| year={2020}, |
| eprint={2004.00188}, |
| archivePrefix={arXiv}, |
| primaryClass={cs.SD} |
| } |
| ``` |
|
|
