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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.

Ludwig van Beethoven - Piano Sonatas v2.0 (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/beethoven_piano_sonatas.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 of the first sonata Op. 2 no. 1 has the following files:

  • MS3/01-1.mscx: Uncompressed MuseScore file including the music and annotation labels.
  • notes/01-1.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/01-1.tsv: A table with relevant information about the measures in the score.
  • harmonies/01-1.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/01-1.tsv')
notes = ms3.load_tsv('notes/01-1.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 following numbering of the sonatas from 1-32. For example, the four movements of sonata no. 1 are named 01-1, 01-2, 01-3, and 01-4.

Number Opus (Name)
Piano Sonata No.1 in F minor Op.2 No.1
Piano Sonata No.2 in A major Op.2 No.2
Piano Sonata No.3 in C major Op.2 No.3
Piano Sonata No.4 in E-flat major Op.7 ("Grand Sonata")
Piano Sonata No.5 in C minor Op.10 No.1 ("Little Pathétique")
Piano Sonata No.6 in F major Op.10 No.2
Piano Sonata No.7 in D major Op.10 No.3
Piano Sonata No.8 in C minor Op.13 ("Pathétique")
Piano Sonata No.9 in E major Op.14 No.1
Piano Sonata No.10 in G major Op.14 No.2
Piano Sonata No.11 in B-flat major Op.22
Piano Sonata No.12 in A-flat major Op.26 ("Funeral March")
Piano Sonata No.13 in E-flat major Op.27 No.1 ("Quasi una fantasia")
Piano Sonata No.14 in C-sharp minor Op.27 No.2 ("Moonlight")
Piano Sonata No.15 in D major Op.28 ("Pastoral")
Piano Sonata No.16 in G major Op.31 No.1
Piano Sonata No.17 in D minor Op.31 No.2 ("The Tempest")
Piano Sonata No.18 in E-flat major Op.31 No.3 ("The Hunt")
Piano Sonata No.19 in G minor Op.49 No.1 ("Leichte Sonata")
Piano Sonata No.20 in G major Op.49 No.2 ("Leichte Sonata")
Piano Sonata No.21 in C major Op.53 ("Waldstein")
Piano Sonata No.22 in F major Op.54
Piano Sonata No.23 in F minor Op.57 ("Appassionata")
Piano Sonata No.24 in F-sharp major Op.78 ("A Thérèse")
Piano Sonata No.25 in G major Op.79 ("Cuckoo")
Piano Sonata No.26 in E-flat major Op.81a ("Les adieux")
Piano Sonata No.27 in E minor Op.90
Piano Sonata No.28 in A major Op.101
Piano Sonata No.29 in B-flat major Op.106 ("Hammerklavier")
Piano Sonata No.30 in E major Op.109
Piano Sonata No.31 in A-flat major Op.110
Piano Sonata No.32 in C minor Op.111

Overview

file_name measures labels standard annotators reviewers
01-1 152 241 2.3.0 Lars & Ya-Chuan (2.2.0), John Heilig (2.3.0) AN
01-2 61 200 2.3.0 Lars & Ya-Chuan Adrian Nagel, Victor Zheng
01-3 73 132 2.3.0 Daniel Grote (2.2.0), Adrian Nagel (2.3.0) Adrian Nagel, Victor Zheng
01-4 196 355 2.3.0 Daniel Grote (2.2.0), Adrian Nagel (2.3.0) Adrian Nagel, Victor Zheng
02-1 336 479 2.3.0 Lydia Carlisi (2.2.0), Victor Zheng (2.3.0) AN, VZ
02-2 80 244 2.3.0 Lydia Carlisi (2.2.0), Victor Zheng (2.3.0) AN, VZ
02-3 68 124 2.3.0 Lydia Carlisi (2.2.0), Victor Zheng (2.3.0) AN, VZ
02-4 187 339 2.3.0 Lydia Carlisi (2.2.0), Victor Zheng (2.3.0) AN, VZ
03-1 257 487 2.3.0 Lydia Carlisi (2.2.0), John Heilig (2.3.0) AN
03-2 82 233 2.3.0 Lydia Carlisi (2.2.0), Adrian Nagel (2.3.0) Victor Zheng
03-3 127 198 2.3.0 Lydia Carlisi (2.2.0), Adrian Nagel (2.3.0) Victor Zheng
03-4 312 793 2.3.0 Lydia Carlisi (2.2.0), Adrian Nagel (2.3.0) Victor Zheng
04-1 362 0
04-2 90 0
04-3 150 0
04-4 186 0
05-1 284 310 2.3.0 Adrian Nagel (2.2.0), Hanné Becker (2.3.0) AN
05-2 112 252 2.3.0 Adrian Nagel (2.3.0) Victor Zheng
05-3 122 313 2.3.0 Adrian Nagel (2.3.0) Victor Zheng
06-1 202 338 2.3.0 Adrian Nagel (2.2.0), Amelia Brey (2.3.0) AB, AN
06-2 170 236 2.3.0 Gabriele Ortiz Würth (2.2.0), Adrian Nagel (2.3.0) Johannes Hentschel, Victor Zheng
06-3 150 308 2.3.0 Adrian Nagel (2.3.0) Victor Zheng
07-1 344 527 2.3.0 Lydia Carlisi (2.2.0), Amelia Brey (2.3.0) AB
07-2 87 218 2.3.0 Lydia Carlisi (2.2.0), Adrian Nagel (2.3.0) Victor Zheng
07-3 86 92 2.3.0 Lydia Carlisi (2.2.0), Adrian Nagel (2.3.0) Victor Zheng
07-4 113 266 2.3.0 Lydia Carlisi (2.2.0), Adrian Nagel (2.3.0) Victor Zheng
08-1 310 503 2.3.0 Lydia Carlisi (2.2.0), John Heilig (2.3.0) AN
08-2 73 143 2.3.0 Lydia Carlisi (2.2.0), Adrian Nagel (2.3.0) Victor Zheng
08-3 210 365 2.3.0 Lydia Carlisi (2.2.0), Adrian Nagel (2.3.0) Victor Zheng
09-1 161 351 2.3.0 Lydia Carlisi (2.2.0), Amelia Brey (2.3.0) AB, AN
09-2 178 235 2.3.0 Lydia Carlisi (2.2.0), Adrian Nagel (2.3.0) Victor Zheng
09-3 131 262 2.3.0 Lydia Carlisi (2.2.0), Adrian Nagel (2.3.0) Victor Zheng
10-1 200 355 2.3.0 Daniel Grote (2.2.0), John Heilig (2.3.0) AN
10-2 90 330 2.3.0 Daniel Grote (2.2.0), Adrian Nagel (2.3.0) Victor Zheng (2.3.0)
10-3 254 318 2.3.0 Adrian Nagel (2.3.0) Victor Zheng
11-1 199 0
11-2 77 0
11-3 46 0
11-4 199 0
12-1 219 0
12-2 95 0
12-3 75 0
12-4 170 0
13-1 86 0
13-2 140 0
13-3 26 0
13-4 285 0
14-1 69 0
14-2 60 0
14-3 201 0
15-1 462 0
15-2 103 0
15-3 94 0
15-4 210 0
16-1 325 303 2.3.0 Adrian Nagel (2.2.0), Hanné Becker (2.3.0) AN
16-2 119 285 2.3.0 Adrian Nagel (2.2.0), Amelia Brey (2.3.0) VZ, AB
16-3 275 703 2.3.0 Adrian Nagel (2.3.0) VZ
17-1 228 352 2.3.0 Adrian Nagel (2.2.0), Hanné Becker (2.3.0) AN
17-2 103 223 2.3.0 Adrian Nagel (2.3.0) Victor Zheng
17-3 399 460 2.3.0 Adrian Nagel (2.3.0) Victor Zheng
18-1 253 269 2.3.0 Adrian Nagel (2.2.0), Hanné Becker (2.3.0) AN
18-2 169 273 2.3.0 Adrian Nagel (2.3.0) Victor Zheng
18-3 61 178 2.3.0 Adrian Nagel (2.3.0) Victor Zheng
18-4 333 410 2.3.0 Adrian Nagel (2.3.0) Victor Zheng
19-1 110 193 2.3.0 Daniel Grote (2.2.0), Hanné Becker (2.3.0) AN (2.2.0 + 2.3.0)
19-2 164 384 2.3.0 Daniel Grote (2.2.0), Adrian Nagel (2.3.0) Adrian Nagel, Victor Zheng
20-1 122 286 2.3.0 Lydia Carlisi (2.2.0), John Heilig (2.3.0) AN
20-2 120 169 2.3.0 Lydia Carlisi (2.2.0), Adrian Nagel (2.3.0) Victor Zheng
21-1 302 616 2.3.0 Adrian Nagel (2.2.0), Amelia Brey (2.3.0) AB, AN
21-2 28 82 2.3.0 Adrian Nagel (2.3.0) VZ
21-3 543 739 2.3.0 Adrian Nagel (2.3.0) Victor Zheng
23-1 262 434 2.3.0 Daniel Grote (2.2.0), Hanné Becker (2.3.0) AN
23-2 97 220 2.3.0 Daniel Grote (2.2.0), Adrian Nagel (2.3.0) Victor Zheng
23-3 361 395 2.3.0 Daniel Grote (2.2.0), Adrian Nagel (2.3.0) Victor Zheng
24-1 105 286 2.3.0 Adrian Nagel (2.2.0), Hanné Becker (2.3.0) AN
24-2 183 317 2.3.0 Adrian Nagel (2.3.0) Victor Zheng
26-1 255 537 2.3.0 Adrian Nagel (2.2.0), John Heilig (2.3.0) AN
26-2 42 127 2.3.0 Adrian Nagel (2.2.0), Amelia Brey (2.3.0) AB, Victor Zheng
26-3 196 317 2.3.0 Adrian Nagel (2.3.0) VZ
29-1 405 0
29-2 175 0
29-3 187 0
29-4 400 0
30-1 99 252 2.3.0 Adrian Nagel (2.2.0), Amelia Brey (2.3.0) AB, AN
30-2 177 320 2.3.0 Adrian Nagel (2.3.0) Victor Zheng
30-3 203 656 2.3.0 Adrian Nagel (2.3.0) Victor Zheng
31-1 116 339 2.3.0 Adrian Nagel (2.2.0), John Heilig (2.3.0) AN
31-2 158 201 2.3.0 Adrian Nagel, Victor Zheng (2.3.0) AN
31-3 212 644 2.3.0 Adrian Nagel (2.2.0), Victor Zheng (2.3.0) AN
32-1 157 576 2.3.0 Adrian Nagel (2.2.0), Amelia Brey (2.3.0) AB, AN
32-2 177 869 2.3.0 Adrian Nagel (2.2.0), Victor Zheng (2.3.0) AN

Overview table automatically updated using ms3.