mozart_piano_sonatas

Harmony, cadence, and phrase annotations for Mozart's 18 piano sonatas

https://github.com/dcmlab/mozart_piano_sonatas

Science Score: 75.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 8 DOI reference(s) in README
  • Academic publication links
    Links to: zenodo.org
  • Academic email domains
  • Institutional organization owner
    Organization dcmlab has institutional domain (www.epfl.ch)
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (9.4%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

Harmony, cadence, and phrase annotations for Mozart's 18 piano sonatas

Basic Info
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  • Stars: 21
  • Watchers: 7
  • Forks: 6
  • Open Issues: 1
  • Releases: 4
Created about 6 years ago · Last pushed about 1 year ago
Metadata Files
Readme License Citation Zenodo

README.md

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.

When you use (parts of) this dataset in your work, please read and cite the accompanying data report:

Hentschel, J., Neuwirth, M., & Rohrmeier, M. (2021). The Annotated Mozart Sonatas: Score, harmony, and cadence. Transactions of the International Society for Music Information Retrieval, 4(1), 6780. https://doi.org/10.5334/tismir.63

This corpus forms part of the larger Distant Listening Corpus which constitutes a data infrastructure the data report of which has implications for the present corpus, too:

Hentschel, J., Rammos, Y., Neuwirth, M., & Rohrmeier, M. (2025). A corpus and a modular infrastructure for the empirical study of (an)notated music. Scientific Data, 12(1), 685. https://doi.org/10.1038/s41597-025-04976-z

The Annotated Mozart Sonatas: Score, Harmony, and Cadence (A corpus of annotated scores)

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

Getting the data

Data Formats

Each piece in this corpus is represented by five files with identical name prefixes, each in its own folder. For example, the first movement of the first sonata, K. 279 has the following files:

  • MS3/K279-1.mscx: Uncompressed MuseScore 3.6.2 file including the music and annotation labels.
  • notes/K279-1.notes.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.measures.tsv: A table with relevant information about the measures in the score.
  • chords/K279-1.chords.tsv: A table containing layer-wise unique onset positions with the musical markup (such as dynamics, articulation, lyrics, figured bass, etc.).
  • harmonies/K279-1.harmonies.tsv: A table of the included harmony labels (including cadences and phrases) with their positions in the score.

Each TSV file comes with its own JSON descriptor that describes the meanings and datatypes of the columns ("fields") it contains, follows the Frictionless specification, and can be used to validate and correctly load the described file.

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 which renders them correctly but cannot store them back in the same format.

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 or later) you'll be able to load any TSV like this:

```python import ms3

labels = ms3.loadtsv("harmonies/K279-1.harmonies.tsv") notes = ms3.loadtsv("notes/K279-1.notes.tsv") ```

Version history

See the GitHub releases.

Questions, Suggestions, Corrections, Bug Reports

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

Cite as

Hentschel, J., Neuwirth, M., & Rohrmeier, M. (2021). The Annotated Mozart Sonatas: Score, harmony, and cadence. Transactions of the International Society for Music Information Retrieval, 4(1), 6780. https://doi.org/10.5334/tismir.63

License

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

cc-by-nc-sa-image

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 automatically updated using ms3.

Owner

  • Name: Digital and Cognitive Musicology Lab
  • Login: DCMLab
  • Kind: organization
  • Location: Lausanne, CH

The Digital and Cognitive Musicology Lab at École Polytechnique Fédérale de Lausanne (EPFL)

Citation (CITATION.cff)

cff-version: 1.2.0
message: "Please cite this dataset using the metadata from 'preferred-citation'."
title: "The Annotated Mozart Sonatas: Score, Harmony, and Cadence"
type: dataset
abstract: >-
  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.63doi: 10.5281/ZENODO.7473560c
url: https://zenodo.org/doi/10.5281/zenodo.7424962
repository: https://github.com/DCMLab/mozart_piano_sonatas
identifiers:
  - type: doi
    value: 10.5281/ZENODO.7424962
  - type: url
    value: https://zenodo.org/doi/10.5281/zenodo.7424962
authors:
    - given-names: Johannes
      family-names: Hentschel
      email: johannes.hentschel@bruckneruni.at
      affiliation: "Anton Bruckner University Linz"
      orcid: "https://orcid.org/0000-0002-1986-9545"
    - given-names: Markus
      family-names: Neuwirth
      email: markus.neuwirth@bruckneruni.at
      affiliation: "Anton Bruckner University Linz"
      orcid: "https://orcid.org/0000-0003-1990-052X"
    - given-names: Martin
      family-names: Rohrmeier
      email: martin.rohrmeier@epfl.ch
      affiliation: "École Polytechnique Fédérale de Lausanne"
      orcid: "https://orcid.org/0000-0002-4323-7257"
version: v2.3
date-released: 2025-04-27
keywords:
  - "expert-annotated dataset"
  - "tonal harmony"
  - "music research"
  - "music theory"
  - "music analysis"
  - "music history"
  - "corpus studies"
  - "corpora"
  - "symbolic dataset"
  - "scores"
  - "annotated dataset"
  - "harmony"
  - "key annotations"
  - "chord annotations"
  - "phrase annotations"
  - "cadence annotations"
  - "classical style"
  - "piano music"
license: "CC-BY-NC-4.0"
preferred-citation:
  authors:
    - given-names: Johannes
      family-names: Hentschel
      email: johannes.hentschel@bruckneruni.at
      affiliation: "Anton Bruckner University Linz"
      orcid: "https://orcid.org/0000-0002-1986-9545"
    - given-names: Markus
      family-names: Neuwirth
      email: markus.neuwirth@bruckneruni.at
      affiliation: "Anton Bruckner University Linz"
      orcid: "https://orcid.org/0000-0003-1990-052X"
    - given-names: Martin
      family-names: Rohrmeier
      email: martin.rohrmeier@epfl.ch
      affiliation: "École Polytechnique Fédérale de Lausanne"
      orcid: "https://orcid.org/0000-0002-4323-7257"
  title: An Annotated Corpus of Tonal Piano Music from the Long 19th Century
  doi: 10.5334/tismir.63
  url: http://dx.doi.org/10.5334/tismir.63
  identifiers:
    - type: doi
      value: 10.5334/tismir.63
    - type: url
      value: http://dx.doi.org/10.5334/tismir.63
    - type: other
      value: urn:issn:2514-3298
  type: article
  journal: Transactions of the International Society for Music Information Retrieval
  issn: 2514-3298
  publisher:
    name: Ubiquity Press, Ltd.
  volume: 4
  issue: 1
  year: 2021
  month: 5
  start: 67
  end: 80
  abstract: >-
    <jats:p>This article describes a new expert-labelled dataset featuring 
    harmonic, phrase, and cadence analyses of all piano sonatas by W.A. Mozart. 
    The dataset draws on the DCML standard for harmonic annotation and is being
    published adopting the FAIR principles of Open Science. The annotations 
    have been verified using a data triangulation procedure which is presented 
    as an alternative approach to handling annotator subjectivity. This 
    procedure is suited for ensuring consistency, within the dataset and 
    beyond, despite the high level of analytical detail afforded by the 
    employed harmonic annotation syntax. The harmony labels also encode 
    contextual information and are therefore suited for investigating music 
    theoretical questions related to tonal harmony and the harmonic makeup of 
    cadences in the classical style. Apart from providing basic statistical 
    analyses characterizing the dataset, its music theoretical potential is 
    illustrated by two preliminary experiments, one on the terminal harmonies 
    of cadences and the other on the relation between performance durations and 
    harmonic density. Furthermore, particular features can be selected to 
    produce more coarse-grained training data, for example for chord detection 
    algorithms that require less analytical detail. Facilitating the dataset’s 
    reusability, it comes with a Python script that allows researchers to 
    easily access various representations of the data tailored to their 
    particular needs.</jats:p>

GitHub Events

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Dependencies

.github/workflows/annotation_branch.yml actions
  • DCMLab/dcml_corpus_workflow v2.5.0 composite
  • actions/checkout v3 composite
.github/workflows/main_branch.yml actions
  • DCMLab/dcml_corpus_workflow v2.5.0 composite
  • actions/checkout v3 composite