Skip to content

Latest commit

 

History

History
218 lines (165 loc) · 11.4 KB

README.md

File metadata and controls

218 lines (165 loc) · 11.4 KB
Raw

Version DOI GitHub repo size License

This is a README file for a data repository originating from the DCML corpus initiative and serves as welcome page for both

For information on how to obtain and use the dataset, please refer to this documentation page.

Robert Schumann - Kinderszenen (A corpus of annotated scores)

This corpus of annotated MuseScore files has been created within the DCML corpus initiative and employs the DCML harmony annotation standard. It is one out of nine similar corpora that have been grouped together to An Annotated Corpus of Tonal Piano Music from the Long 19th Century which comes with a data report that is currently in press at Empirical Musicology Review.

Version history

See the GitHub releases.

Getting the data

With full version history

The dataset is version-controlled via git. In order to download the files with all revisions they have gone through, git needs to be installed on your machine. Then you can clone this repository using the command

git clone https://github.com/DCMLab/schumann_kinderszenen.git

Without full version history

If you are only interested in the current version of the corpus, you can simply download and unpack this ZIP file.

Data Formats

Each piece in this corpus is represented by four files with identical names, each in its own folder. For example, the first movement has the following files:

  • MS3/n01.mscx: Uncompressed MuseScore file including the music and annotation labels.
  • notes/n01.tsv: A table of all note heads contained in the score and their relevant features (not each of them represents an onset, some are tied together)
  • measures/n01.tsv: A table with relevant information about the measures in the score.
  • harmonies/n01.tsv: A list of the included harmony labels (including cadences and phrases) with their positions in the score.

Opening Scores

After navigating to your local copy, you can open the scores in the folder MS3 with the free and open source score editor MuseScore. Please note that the scores have been edited, annotated and tested with MuseScore 3.6.2. MuseScore 4 has since been released and preliminary tests suggest that it renders them correctly.

Opening TSV files in a spreadsheet

Tab-separated value (TSV) files are like Comma-separated value (CSV) files and can be opened with most modern text editors. However, for correctly displaying the columns, you might want to use a spreadsheet or an addon for your favourite text editor. When you use a spreadsheet such as Excel, it might annoy you by interpreting fractions as dates. This can be circumvented by using Data --> From Text/CSV or the free alternative LibreOffice Calc. Other than that, TSV data can be loaded with every modern programming language.

Loading TSV files in Python

Since the TSV files contain null values, lists, fractions, and numbers that are to be treated as strings, you may want to use this code to load any TSV files related to this repository (provided you're doing it in Python). After a quick pip install -U ms3 (requires Python 3.10) you'll be able to load any TSV like this:

import ms3

labels = ms3.load_tsv('harmonies/n01.tsv')
notes = ms3.load_tsv('notes/n01.tsv')

How to read metadata.tsv

This section explains the meaning of the columns contained in metadata.tsv.

File information

column content
fname name without extension (for referencing related files)
rel_path relative file path of the score, including extension
subdirectory folder where the score is located
last_mn last measure number
last_mn_unfolded number of measures when playing all repeats
length_qb length of the piece, measured in quarter notes
length_qb_unfolded length of the piece when playing all repeats
volta_mcs measure counts of first and second endings
all_notes_qb summed up duration of all notes, measured in quarter notes
n_onsets number of note onsets
n_onset_positions number of unique note onsets ("slices")

Composition information

column content
composer composer name
workTitle work title
composed_start earliest composition date
composed_end latest composition date
workNumber Catalogue number(s)
movementNumber 1, 2, or 3
movementTitle title of the movement

Score information

column content
label_count number of chord labels
KeySig key signature(s) (negative = flats, positive = sharps)
TimeSig time signature(s)
musescore MuseScore version
source URL to the first typesetter's file
typesetter first typesetter
annotators creator(s) of the chord labels
reviewers reviewer(s) of the chord labels

Identifiers

These columns provide a mapping between multiple identifiers for the sonatas (not for individual movements).

column content
wikidata URL of the WikiData item
viaf URL of the Virtual International Authority File (VIAF) entry
musicbrainz MusicBrainz identifier
imslp URL to the wiki page within the International Music Score Library Project (IMSLP)

Generating all TSV files from the scores

When you have made changes to the scores and want to update the TSV files accordingly, you can use the following command (provided you have pip-installed ms3):

ms3
extract - M - N - X - D  # for measures, notes, expanded annotations, and metadata

If, in addition, you want to generate the reviewed scores with out-of-label notes colored in red, you can do

ms3
review - M - N - X - D  # for extracting measures, notes, expanded annotations, and metadata

By adding the flag -c to the review command, it will additionally compare the (potentially modified) annotations in the score with the ones currently present in the harmonies TSV files and reflect the comparison in the reviewed scores.

Questions, Suggestions, Corrections, Bug Reports

For questions, remarks etc., please create an issue and feel free to fork and submit pull requests.

License

Creative Commons Attribution-ShareAlike 4.0 International License (CC BY-SA 4.0).

Naming convention

The file names listed in the Overview below refer to the 13 pieces contained in op. 15.

Overview

file_name measures labels standard annotators reviewers
n01 22 44 2.3.0 Tal Soker (2.1.1), John Heilig (2.3.0) AN, JHei, JH
n02 40 123 2.3.0 Tal Soker (2.1.1), John Heilig (2.3.0) AN, JHei, JH
n03 31 58 2.3.0 Tal Soker (2.1.1), John Heilig (2.3.0) AN, JHei, JH
n04 17 53 2.3.0 Tal Soker (2.1.1), John Heilig (2.3.0) AN, JHei, JH
n05 16 48 2.3.0 Tal Soker (2.1.1), John Heilig (2.3.0) AN, JHei, JH
n06 24 84 2.3.0 Tal Soker (2.1.1), John Heilig (2.3.0) AN, JHei
n07 24 71 2.3.0 Tal Soker (2.1.1), John Heilig (2.3.0) AN, JHei
n08 32 73 2.3.0 Tal Soker (2.1.1), John Heilig (2.3.0) AN, JHei
n09 24 46 2.3.0 Tal Soker (2.1.1), John Heilig (2.3.0) AN. JHei
n10 57 67 2.3.0 Tal Soker (2.1.1), John Heilig (2.3.0) AN, JHei
n11 48 140 2.3.0 Tal Soker (2.1.1), John Heilig (2.3.0) AN, JHei
n12 32 92 2.3.0 Tal Soker (2.1.1), John Heilig (2.3.0) AN, JHei
n13 25 49 2.3.0 Tal Soker (2.1.1), John Heilig (2.3.0) AN, JHei

Overview table automatically updated using ms3.