metadata

language:
  - en
license: cc-by-4.0
dataset_info:
  features:
    - name: id
      dtype: string
    - name: start_time
      dtype: int32
    - name: question
      dtype: string
    - name: answer
      dtype: string
  splits:
    - name: train
      num_bytes: 13432031
      num_examples: 5802
  download_size: 3860760
  dataset_size: 13432031
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*

Maestro ABC Notation 25s Dataset

Dataset Summary

This is based on V3.0.0 of the Maestro dataset.

The Maestro ABC Notation 25s Dataset is a curated collection of question-and-answer pairs derived from short audio clips within the MAESTRO dataset. Each entry in the dataset includes:

An id corresponding to the original audio file.
A start_time marking where the 25-second audio clip begins within the full track.
A question designed to prompt music transcription in ABC notation.
An answer that provides the transcription in ABC notation format.

This dataset is crafted for training multi-modal audio-language models (such as Spotify Llark and Qwen2-Audio) with a focus on music transcription tasks. The MIDI-to-ABC conversion is achieved with a modified script based on this code.

Why ABC?

The reasons for choosing this notation are:

It's a minimalist format for writing music
It's widely used and popular, language models already have good comprehension and know a lot about ABC notation.
It's flexible and can easily be extended to include tempo changes, time signature changes, additional playing styles like mentioned above, etc…

Dataset Modifications to ABC Format

Default octaves have been assigned to each instrument, using their most commonly played range. This reduces redundant octave notation.
For consistency, I excluded pieces that contain time signature changes or significant tempo variations (greater than 10 BPM).
All samples in this dataset contain active musical parts - sections with complete silence have been removed.

Licensing Information

MAESTRO Dataset: The audio files are sourced from the MAESTRO dataset, licensed under the Creative Commons Attribution Non-Commercial Share-Alike 4.0 license. Please refer to the MAESTRO dataset page for full licensing details.

Citation Information

If you utilize this dataset, please cite it as follows:

@dataset{maestro_abc_notation_25s_2024,
  title={MAESTRO ABC Notation Dataset},
  author={Jon Flynn},
  year={2024},
  howpublished={\url{https://huggingface.co./datasets/jonflynn/maestro_abc_notation_25s}},
  note={ABC notation for the MAESTRO dataset split into 25-second segments},
}

For the original MAESTRO dataset, please cite the following:

@inproceedings{hawthorne2018enabling,
  title={Enabling Factorized Piano Music Modeling and Generation with the {MAESTRO} Dataset},
  author={Curtis Hawthorne and Andriy Stasyuk and Adam Roberts and Ian Simon and Cheng-Zhi Anna Huang and Sander Dieleman and Erich Elsen and Jesse Engel and Douglas Eck},
  booktitle={International Conference on Learning Representations},
  year={2019},
  url={https://openreview.net/forum?id=r1lYRjC9F7},
}