Datasets:

TiMauzi
/

imslp-midi-by-nc-sa

license: cc-by-nc-sa-4.0
dataset_info:
  features:
    - name: midi_source
      dtype: string
    - name: metadata_source
      dtype: string
    - name: file_name
      dtype: string
    - name: title
      dtype: string
    - name: composer
      dtype: string
    - name: year
      dtype: float64
    - name: era
      dtype: string
    - name: style
      dtype: string
    - name: key
      dtype: string
    - name: license
      dtype: string
    - name: midi
      dtype: binary
    - name: midi_mido
      dtype: string
  splits:
    - name: train
      num_bytes: 2015536891
      num_examples: 6068
    - name: validation
      num_bytes: 255732310
      num_examples: 759
    - name: test
      num_bytes: 226020849
      num_examples: 759
  download_size: 298152520
  dataset_size: 2497290050
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: validation
        path: data/validation-*
      - split: test
        path: data/test-*
task_categories:
  - audio-classification
  - tabular-classification
  - tabular-regression
tags:
  - audio
  - music
  - classification
  - regression
  - era
  - song
  - year
  - classical_music
  - composer
  - midi
pretty_name: >-
  IMSLP MIDI Classification Dataset (Creative Commons Attribution Non Commercial
  Share Alike 4.0 Version)
size_categories:
  - 1K<n<10K

IMSLP MIDI Dataset (CC-BY-NC-SA-4.0)

This dataset contains MIDI files and metadata crawled from IMSLP (International Music Score Library Project) on July 21-22, 2024.

Data Fields

midi_source: URL to the original MIDI file on IMSLP (incl. original uploader).
metadata_source: URL to the original metadata on IMSLP.
file_name, title, composer, year, era, style, key, license: Metadata fields.
midi: Raw MIDI bytes.
midi_mido: JSON-serialized mido object.

How to Retrieve Origin Data and Authors

For each entry, use midi_source to find the original MIDI file and metadata_source for the metadata information.

Statistics & Visualizations

Total entries: 7586
Unique composers: 1388
Eras: Romantic (2729), Baroque (1902), Renaissance (1319), Modern (944), Classical (463), Other (118), Early 20th century (94), Medieval (17)
Styles: Romantic (2736), Baroque (2033), Renaissance (1368), Modern (720), Classical (462), Early 20th century (184), Traditional (35), Medieval (22), Jazz (15), Ancient (8), Non-western classical (3)

How to Use

from datasets import load_dataset
dataset = load_dataset('TiMauzi/imslp-midi-by-nc-sa')

The data in the column midi are raw bytes. You may want to use packages like mido to analyze them. For example, to view the content of the first MIDI file, you can use a script as follows:

import mido
import io

train_data = dataset['train']  # assuming you already loaded the dataset as described

# Take the first example
midi_bytes = train_data[0]['midi']  # this is raw bytes

# Load with mido
midi_file = mido.MidiFile(file=io.BytesIO(midi_bytes))

# Inspect tracks and messages
for i, track in enumerate(midi_file.tracks):
    print(f"Track {i}: {track.name}")
    for msg in track[:10]:  # print first 10 messages
        print(msg)

License Merging

While most files in IMSLP are stored as public domain or open source, different and sometimes incompatible licensing agreements exacerbate the conflation of individual pieces into a single data collection. While there are several customized licenses for some of the MIDI files, some of the crawled and observed data were purely from the public domain globally, whereas the vast majority of all MIDI files make use of Creative Commons (CC) agreements. The latter may be combined under specific circumstances: For example, CC-BY-licensed pieces may be remixed with CC-BY-SA- and CC-BY-NC-licensed pieces into a CC-BY-SA or CC-BY-NC remix, respectively. Furthermore, CC-BY-NC-licensed pieces or remixes may again be remixed using the CC-BY-NC-SA license. Finally, ShareAlike (SA) licenses CC-BY-SA and CC-BY-NC-SA of version 3.0 are upgradable to those of version 4.0. Since the compatibility of all other, mostly custom licenses, remains ambiguous, they have been dropped.

This specific dataset contains data that can be remixed as CC-BY-NC-SA-4.0. For other versions, please check out TiMauzi/imslp-midi-cc0-1.0 or TiMauzi/imslp-midi-by-sa.

In case of any copyright issues or concerns, feel free to contact me, so I can take this dataset offline.