Science Score: 75.0%

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  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 14 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 (8.9%) to scientific vocabulary
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Created over 4 years ago · Last pushed 10 months 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., Rammos, Y., Neuwirth, M., Moss, F. C., & Rohrmeier, M. (2024). An annotated corpus of tonal piano music from the long 19th century. Empirical Musicology Review, 18(1), 84–95. https://doi.org/10.18061/emr.v18i1.8903

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

Claude Debussy - Suite Bergamasque (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 forms part of two datasets:

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 Prélude has the following files:

  • MS3/l075-01_suite_prelude.mscx: Uncompressed MuseScore 3.6.2 file including the music and annotation labels.
  • notes/l075-01_suite_prelude.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/l075-01_suite_prelude.measures.tsv: A table with relevant information about the measures in the score.
  • chords/l075-01_suite_prelude.chords.tsv: A table containing layer-wise unique onset positions with the musical markup (such as dynamics, articulation, lyrics, figured bass, etc.).
  • harmonies/l075-01_suite_prelude.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/l075-01suiteprelude.harmonies.tsv") notes = ms3.loadtsv("notes/l075-01suiteprelude.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., Rammos, Y., Neuwirth, M., Moss, F. C., & Rohrmeier, M. (2024). An annotated corpus of tonal piano music from the long 19th century. Empirical Musicology Review, 18(1), 84–95. https://doi.org/10.18061/emr.v18i1.8903

License

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

cc-by-nc-sa-image

Overview

| filename |measures|labels|standard| annotators |reviewers| |-----------------------|-------:|-----:|--------|-----------------------------------------|---------| |l075-01suiteprelude | 89| 274|2.3.0 |Adrian Nagel (2.1.1), Amelia Brey (2.3.0)|AB, AN | |l075-02suitemenuet | 104| 305|2.3.0 |Adrian Nagel (2.1.1), Amelia Brey (2.3.0)|AB, AN | |l075-03suiteclair | 72| 150|2.3.0 |Adrian Nagel (2.1.1), Amelia Brey (2.3.0)|AB, AN | |l075-04suite_passepied| 156| 284|2.3.0 |Adrian Nagel (2.1.1), Amelia Brey (2.3.0)|AB, AN |

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: "Claude Debussy - Suite Bergamasque (A corpus of annotated scores)"
type: dataset
abstract: >-
  <jats:p>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: https://doi.org/10.18061/emr.v18i1.8903</jats:p>
doi: 10.5281/zenodo.7473568
url: https://zenodo.org/doi/10.5281/zenodo.7473568
repository: https://github.com/DCMLab/debussy_suite_bergamasque
identifiers:
  - type: doi
    value: 10.5281/zenodo.7473568
  - type: url
    value: https://zenodo.org/doi/10.5281/zenodo.7473568
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: Yannis
      family-names: Rammos
      email: yannis.rammos@epfl.ch
      affiliation: "École Polytechnique Fédérale de Lausanne"
      orcid: "https://orcid.org/0000-0003-1455-5990"
    - 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"
  - "19th century"
  - "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: Yannis
      family-names: Rammos
      email: yannis.rammos@epfl.ch
      affiliation: "École Polytechnique Fédérale de Lausanne"
      orcid: "https://orcid.org/0000-0003-1455-5990"
    - 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: 10.18061/emr.v18i1.8903
  url: http://dx.doi.org/10.18061/emr.v18i1.8903
  identifiers:
    - type: doi
      value: 10.18061/emr.v18i1.8903
    - type: url
      value: http://dx.doi.org/10.18061/emr.v18i1.8903
    - type: other
      value: urn:issn:1559-5749
  type: article
  journal: Empirical Musicology Review
  issn: 1559-5749
  publisher:
    name: The Ohio State University Libraries
  volume: 18
  issue: 1
  year: 2024
  month: 1
  start: 84
  end: 95
  abstract: >-
    <jats:p>We present a dataset of 264 annotated piano pieces of nine
    composers, composed in the long 19th century
    (https://doi.org/10.5281/zenodo.7483349). Annotations adhere to the DCML
    harmony annotation standard and include Roman numerals, phrase boundaries,
    and cadence types. The scores are encoded in the XML-based MuseScore 3
    format. Annotations are embedded within the MuseScore files. In addition,
    all harmony information, alongside key features of the encoded measure and
    note objects, is provided in the form of plaintext TSV-formatted tables for
    increased interoperability with other datasets and analysis tools.
    Annotations were collaboratively created and reviewed by a pool of trained
    music theorists. Collaboration took place asynchronously online via a
    semi-automated GitHub-based workflow designed for quality assurance,
    allowing cycles of revisions and reviews until consensus is reached. The
    full revision history is retained, providing data for further empirical
    research on inter-annotator agreement and related topics. We also present
    descriptive statistics about the nine corpora and the dataset as a whole,
    including comparisons of pitch-class contents, phrase lengths, modulations,
    and cadence types. We conclude with a discussion of our musicological
    principles for corpus building and considerations of
    representability.</jats:p>

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Dependencies

.github/workflows/version_release.yml actions
  • actions/checkout v3 composite
  • ncipollo/release-action v1 composite