File size: 4,965 Bytes
3d11359 cb27841 3d11359 3ec8b8c dc2b258 b83f30b dc2b258 b83f30b 68916a2 ace125b 68916a2 cb27841 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 |
---
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
```python
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`](https://github.com/mido/mido) to analyze them. For example, to view the content of the first MIDI file, you can use a script as follows:
```python
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](https://wiki.creativecommons.org/wiki/Wiki/cc_license_compatibility):
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](https://creativecommons.org/share-your-work/licensing-considerations/compatible-licenses/) 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](https://huggingface.co/datasets/TiMauzi/imslp-midi-cc0-1.0) or [TiMauzi/imslp-midi-by-sa](https://huggingface.co/datasets/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. |