amaai-lab/melodySim

MelodySim: Measuring Melody-aware Music Similarity for Plagiarism Detection

Github | Model | Paper

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", "version0", "version1", "version2"), all of which are synthesized from the same midi file with [sf2](https://github.com/Rainbow-Dreamer/sf2loader) 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}
}