license: cc-by-3.0
dataset_info:
features:
- name: audio
dtype: audio
- name: relative_path
dtype: string
splits:
- name: test
num_bytes: 13646545685.208
num_examples: 15292
- name: validation
num_bytes: 22378049262.984
num_examples: 25468
- name: train
num_bytes: 269257423227.302
num_examples: 150787
download_size: 295850537553
dataset_size: 305282018175.494
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- split: validation
path: data/validation-*
MelodySim: Measuring Melody-aware Music Similarity for Plagiarism Detection
The MelodySim dataset contains 1,710 valid synthesized pieces originated from Slakh2100 dataset, each containing 4 different versions (through various augmentation settings), with a total duration of 419 hours.
This dataset may help research in:
- Music similarity learning
- Music plagiarism detection
Dataset Details
The MelodySim dataset contains three splits: train, validation and test. Each split contains multiple tracks. Each track folder contains the same song in 4 versions ("original", "version_0", "version_1", "version_2"), all of which are synthesized from the same midi file with sf2 in different settings. Checkout MelodySim Paper for details how the different versions are augmented. Each version contains multiple 10-second chunks named with their indices.
After downloading the dataset, this dataloader may help loading the dataset.
Citation
If you find this work useful in your research, please cite:
@article{lu2025melodysim,
title={Text2midi-InferAlign: Improving Symbolic Music Generation with Inference-Time Alignment},
author={Tongyu Lu and Charlotta-Marlena Geist and Jan Melechovsky and Abhinaba Roy and Dorien Herremans},
year={2025},
journal={arXiv:2505.20979}
}