metadata
dataset_info:
features:
- name: id
dtype: string
- name: mid
dtype: string
- name: midi_file
struct:
- name: bytes
sequence: uint8
- name: filename
dtype: string
- name: size
dtype: int64
- name: audio
dtype: audio
- name: audio_duration
dtype: float64
- name: abc
dtype: string
- name: token_length_abc
dtype: int64
splits:
- name: train
num_bytes: 49867013076.392
num_examples: 148381
download_size: 48243642953
dataset_size: 49867013076.392
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
midi, synthesized audio, ABC code triples
(this dataset contains those with audio duration in 5-60s, sampled from the full set with max 300s duration)
(token_length_abc field represents the token count of the abc text w.r.t. Qwen3's tokenizer)
- midi files are from bread-midi-dataset
- synthesized audio: use Don Allen's Timbres of Heaven as soundfont and FluidSynth as synthesizer
- abc notation: mid2abc by EasyABC (midi2abc.py)
Citation
@misc{jiang2025advancingfoundationmodelmusic,
title={Advancing the Foundation Model for Music Understanding},
author={Yi Jiang and Wei Wang and Xianwen Guo and Huiyun Liu and Hanrui Wang and Youri Xu and Haoqi Gu and Zhongqian Xie and Chuanjiang Luo},
year={2025},
eprint={2508.01178},
archivePrefix={arXiv},
primaryClass={cs.SD},
url={https://arxiv.org/abs/2508.01178},
}
@misc {matthew_mitton_2025,
author = { {Matthew Mitton} },
title = { bread-midi-dataset (Revision 95c2155) },
year = 2025,
url = {\url{https://huggingface.co/datasets/breadlicker45/bread-midi-dataset }},
doi = { 10.57967/hf/4748 },
publisher = { Hugging Face }
}