• The Annotated Mozart Sonatas: Score, Harmony, and Cadence

  • Changelog

    • Version 2.0

      • Changes to harmonize with other DCML corpora

      • Changes to the content

      • Removed mozart_loader.py

  • Getting the Data

  • Data Formats

    • Opening Scores

    • Opening TSV files in a spreadsheet

    • Loading TSV files in Python

  • How to read metadata.tsv

    • File information

    • Composition information

    • Score information

    • Identifiers

  • Generating all TSV files from the scores

  • Questions, Suggestions, Corrections, Bug Reports

  • License

• Overview

The Annotated Mozart Sonatas: Score, Harmony, and Cadence

Scores, chord labels and cadence labels for Mozart’s 18 piano sonatas, following the Neue Mozart Ausgabe.

This dataset is accompanied by the data report Hentschel, J., Neuwirth, M. and Rohrmeier, M., 2021. The Annotated Mozart Sonatas: Score, Harmony, and Cadence. Transactions of the International Society for Music Information Retrieval, 4(1), pp.67–80. DOI: http://doi.org/10.5334/tismir.63

Changelog

Version 2.0

Changes to harmonize with other DCML corpora

• Eenamed folder scores to MS3 (7549f6a)

• Extracted facets and metadata with ms3 1.0.1 (9eb9fe3)

  • TSV files now come with the column quarterbeats, which measures in quarter notes each event’s position as its distance from the beginning

  • The extracted harmony labels in the folder harmonies are expanded into feature columns by default.

  • Extracted notes now come with the columns name and octave.

  • Column volta (containing first and second endings) removed from pieces that don’t have any.

  • metadata.tsv has been enriched with further columns, in particular information about each movement’s dimensions, including dimensions upon unfolding repeats (for instance, last_mn has the number of measures, last_mn_unfolded the number of measures when playing all repeats)

  • The folder reviewed contains two files per movement:

    • A copy of the score where all out-of-label notes have been colored in red; additionally, modified labels ( w.r.t. v1.0) are shown in these files in a diff-like manner (removed in red, added in green).

    • A copy of the harmonies TSV with six added columns that reflect the coloring of out-of-label notes (“coloring reports”)

  • As long as the ms3 review has any complaints, it stores them in the file warnings.log. Currently, it is showing those labels where over 60% of the notes in the segment have been colored in red and probably need revisiting ( Pull Requests welcome)

• Score updated using ms3 update (13dfb6d)

  • Files updated to MuseScore 3.6.2

  • All labels moved from the chord layer of staff 1 to the Roman Numeral Analysis layer of staff 2. This changes how they are displayed and eliminates the requirement to prepend a full stop to labels starting with a note name.

• Cadence labels now integrated with harmony labels as per DCML harmony annotation standard 2.3.0 (1c290e8)

• TSV files are automatically kept up to date using the dcml_corpus_workflow (c203595)

Changes to the content

• Made phrase annotations consistent by adding missing curly brackets. (9f10fc0)

• Introduced first and second endings at the beginning of K311-2 in order to introduce an EC label on the repetition of bar 1.

• Fixed repeat structure in da capo movements K282-2 and K331-2 for correct unfolding (b7271da..0e9f060)

• updated labels of K283-3 (f1fe032)

• corrected scores in a few places (b6aa4f1, 438acb0)

Removed mozart_loader.py

The functionality of the loader has been superseded by the ms3 parsing library. Once installed (pip install ms3), you’ll have several commands on your hands, one of which is ms3 transform. For example, head to the folder with the dataset and type ms3 transform -N to create the concatenated note list. ms3 transform -h will show all options.

Getting the Data

First, create a local copy of this repository, either by using the command

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

or by unpacking this ZIP file.

Data Formats

Every sonata movement is represented by five files with identical filenames in five different folders. For example, the first movement of the first sonata K. 279 has the following files:

• MS3/K279-1.mscx: Uncompressed MuseScore file including the music and harmony labels.

• notes/K279-1.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/K279-1.tsv: A table with relevant information about the measures in the score.

• harmonies/K279-1.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.

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/K283-1.tsv')
notes = ms3.load_tsv('notes/K283-1.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 not onsets (“slices”)

Composition information

column	content
composer	composer name
workTitle	full sonata title
composed_start	earliest composition date
composed_end	latest composition date
workNumber	Köchel number
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
annotator	creator of the chord labels
reviewers	reviewers 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

Please create an issue and feel free to fork and submit pull requests.

License

Creative Commons Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)

Overview

file_name	measures	labels	annotators	reviewers
K279-1	100	251	Uli Kneisel	Johannes Hentschel, Markus Neuwirth
K279-2	74	156	Uli Kneisel	Johannes Hentschel, Markus Neuwirth
K279-3	158	321	Uli Kneisel	Johannes Hentschel, Markus Neuwirth
K280-1	144	225	Uli Kneisel	Johannes Hentschel, Markus Neuwirth
K280-2	60	124	Uli Kneisel	Johannes Hentschel, Markus Neuwirth
K280-3	190	199	Uli Kneisel	Johannes Hentschel, Markus Neuwirth
K281-1	109	208	Uli Kneisel	Johannes Hentschel, Markus Neuwirth
K281-2	106	153	Uli Kneisel	Johannes Hentschel, Markus Neuwirth
K281-3	162	384	Uli Kneisel	Johannes Hentschel, Markus Neuwirth
K282-1	36	104	Uli Kneisel	Johannes Hentschel, Markus Neuwirth
K282-2	72	129	Uli Kneisel	Johannes Hentschel, Markus Neuwirth
K282-3	102	176	Uli Kneisel	Johannes Hentschel, Markus Neuwirth
K283-1	120	326	Tal Soker	Johannes Hentschel, Markus Neuwirth
K283-2	39	169	Tal Soker	Johannes Hentschel, Markus Neuwirth
K283-3	277	337	Tal Soker	Johannes Hentschel, Markus Neuwirth
K284-1	127	330	Tal Soker	Johannes Hentschel, Markus Neuwirth
K284-2	92	228	Tal Soker	Johannes Hentschel, Markus Neuwirth
K284-3	260	755	Adrian Nagel	Johannes Hentschel, Markus Neuwirth
K309-1	155	307	Tal Soker	Johannes Hentschel, Markus Neuwirth
K309-2	79	259	Tal Soker	Johannes Hentschel, Markus Neuwirth
K309-3	252	406	Tal Soker	Johannes Hentschel, Markus Neuwirth
K310-1	133	292	Uli Kneisel	Johannes Hentschel, Markus Neuwirth
K310-2	86	252	Uli Kneisel	Johannes Hentschel, Markus Neuwirth
K310-3	252	428	Uli Kneisel	Johannes Hentschel, Markus Neuwirth
K311-1	112	319	Uli Kneisel	Johannes Hentschel, Markus Neuwirth
K311-2	93	241	Uli Kneisel	Johannes Hentschel, Markus Neuwirth
K311-3	269	491	Uli Kneisel	Johannes Hentschel, Markus Neuwirth
K330-1	150	293	Uli Kneisel	Johannes Hentschel, Markus Neuwirth
K330-2	64	187	Uli Kneisel	Johannes Hentschel, Markus Neuwirth
K330-3	171	365	Uli Kneisel	Johannes Hentschel, Markus Neuwirth
K331-1	134	399	Uli Kneisel	Johannes Hentschel, Markus Neuwirth
K331-2	100	160	Uli Kneisel	Johannes Hentschel, Markus Neuwirth
K331-3	127	128	Uli Kneisel	Johannes Hentschel, Markus Neuwirth
K332-1	229	316	Uli Kneisel	Johannes Hentschel, Markus Neuwirth
K332-2	40	168	Uli Kneisel	Johannes Hentschel, Markus Neuwirth
K332-3	245	449	Uli Kneisel	Johannes Hentschel, Markus Neuwirth
K333-1	165	431	Uli Kneisel	Johannes Hentschel, Markus Neuwirth
K333-2	82	217	Uli Kneisel	Johannes Hentschel, Markus Neuwirth
K333-3	224	460	Uli Kneisel	Johannes Hentschel, Markus Neuwirth
K457-1	185	308	Uli Kneisel	Johannes Hentschel, Markus Neuwirth
K457-2	57	214	Uli Kneisel	Johannes Hentschel, Markus Neuwirth
K457-3	319	328	Uli Kneisel	Johannes Hentschel, Markus Neuwirth
K533-1	239	584	Adrian Nagel	Johannes Hentschel, Markus Neuwirth
K533-2	122	261	Adrian Nagel	Johannes Hentschel, Markus Neuwirth
K533-3	187	423	Adrian Nagel	Johannes Hentschel, Markus Neuwirth
K545-1	73	119	Uli Kneisel	Johannes Hentschel, Markus Neuwirth
K545-2	74	146	Uli Kneisel	Johannes Hentschel, Markus Neuwirth
K545-3	73	143	Uli Kneisel	Johannes Hentschel, Markus Neuwirth
K570-1	209	245	Uli Kneisel	Johannes Hentschel, Markus Neuwirth
K570-2	55	250	Uli Kneisel	Johannes Hentschel, Markus Neuwirth
K570-3	89	281	Uli Kneisel	Johannes Hentschel, Markus Neuwirth
K576-1	160	295	Uli Kneisel	Johannes Hentschel, Markus Neuwirth
K576-2	67	151	Uli Kneisel	Johannes Hentschel, Markus Neuwirth
K576-3	189	381	Uli Kneisel	Johannes Hentschel, Markus Neuwirth

Overview table updated using ms3 1.1.0.

Further information:

• How to use
• Analyses