Recent Releases of distant_listening_corpus
distant_listening_corpus - First public release
This corpus has been created within the DCML corpus initiative and employs the DCML harmony annotation standard.
The publication covers the following public corpora (the DOI links always point at the latest version respectively):
- J.S. Bach – English and French Suites [DOI][repo][ZIP]
- J.S. Bach – Solo Pieces (A corpus of annotated scores) [DOI][repo][ZIP]
- Béla Bartók – 14 Bagatelles, Op. 6 [DOI][repo][ZIP]
- François Couperin – L'art de toucher le clavecin [DOI][repo][ZIP]
- Clara Schumann – Lieder [DOI][repo][ZIP]
- François Couperin – Concerts Royaux [DOI][repo][ZIP]
- Carl Philipp Emanuel Bach – Works for Keyboard [DOI][repo][ZIP]
- Girolamo Frescobaldi (1583-1643) – Fiori Musicali, op. 12 (1635) [DOI][repo][ZIP]
- Georg Friedrich Händel – Grobschmied Variations (The Harmonious Blacksmith), HWV 430 [DOI][repo][ZIP]
- J.C. Bach – Keyboard Sonatas [DOI][repo][ZIP]
- Heinrich Schütz – Kleine Geistliche Konzerte [DOI][repo][ZIP]
- Leopold Koželuch – Piano Sonatas [DOI][repo][ZIP]
- Gustav Mahler – Kindertotenlieder [DOI][repo][ZIP]
- Felix Mendelssohn – String Quartets [DOI][repo][ZIP]
- Claudio Monteverdi – Madrigals [DOI][repo][ZIP]
- Giovanni Battista Pergolesi – Stabat Mater (1736) [DOI][repo][ZIP]
- Jacopo Peri – Euridice (1600) [DOI][repo][ZIP]
- Ignaz Pleyel – String Quartets [DOI][repo][ZIP]
- Francis Poulenc – Mouvements Perpetuels [DOI][repo][ZIP]
- Sergei Rachmaninoff – Piano Pieces [DOI][repo][ZIP]
- Maurice Ravel – Piano Pieces [DOI][repo][ZIP]
- Domenico Scarlatti – Keyboard Sonatas [DOI][repo][ZIP]
- Franz Schubert – Winterreise [DOI][repo][ZIP]
- Erwin Schulhoff – Suite dansante en jazz [DOI][repo][ZIP]
- Robert Schumann – Liederkreis [DOI][repo][ZIP]
- Jan Sweelinck – Organ Pieces [DOI][repo][ZIP]
- Richard Wagner – Overtures [DOI][repo][ZIP]
- Wilhelm Friedemann Bach – Piano Sonatas [DOI][repo][ZIP]
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
- Ludwig van Beethoven - Piano Sonatas [DOI][repo][ZIP]
- Frédéric Chopin - Mazurkas [DOI][repo][ZIP]
- Claude Debussy - Suite Bergamasque [DOI][repo][ZIP]
- Antonín Dvořák - Silhouettes [DOI][repo][ZIP]
- Edvard Grieg - Lyric Pieces [DOI][repo][ZIP]
- Franz Liszt - Années de Pèlerinage [DOI][repo][ZIP]
- Nikolai Medtner - Tales [DOI][repo][ZIP]
- Robert Schumann - Kinderszenen [DOI][repo][ZIP]
- Pyotr Tchaikovsky - The Seasons [DOI][repo][ZIP]
Hentschel, J., Moss, F. C., Neuwirth, M., & Rohrmeier, M. A. (2021). A semi-automated workflow paradigm for the distributed creation and curation of expert annotations. Proceedings of the 22nd International Society for Music Information Retrieval Conference, ISMIR, 262–269. https://doi.org/10.5281/ZENODO.5624417
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), 67–80. https://doi.org/10.5334/tismir.63
Neuwirth, M., Harasim, D., Moss, F. C., & Rohrmeier, M. (2018). The Annotated Beethoven Corpus (ABC): A Dataset of Harmonic Analyses of All Beethoven String Quartets. Frontiers in Digital Humanities, 5(July), 1–5. https://doi.org/10.3389/fdigh.2018.00016
Getting the data
- download individual subcorpora as ZIP files using the URLs provided above
- download a Frictionless Datapackage that includes concatenations
of the TSV files in the four folders (
measures,notes,chords, andharmonies) and a JSON descriptor: - clone the repo (~2.4 GB):
git clone --recursive -j12 https://github.com/DCMLab/distant_listening_corpus.git
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 of J.S. Bach’s first English Suite, BWV 806, has the following files:
MS3/BWV806_01_Prelude.mscx: Uncompressed MuseScore 3.6.2 file including the music and annotation labels.notes/BWV806_01_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/BWV806_01_Prelude.measures.tsv: A table with relevant information about the measures in the score.chords/BWV806_01_Prelude.chords.tsv: A table containing layer-wise unique onset positions with the musical markup (such as dynamics, articulation, lyrics, figured bass, etc.).harmonies/BWV806_01_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/BWV80601Prelude.harmonies.tsv") notes = ms3.loadtsv("notes/BWV80601Prelude.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
Johannes Hentschel, Yannis Rammos, Markus Neuwirth, & Martin Rohrmeier. (2025). The Distant Listening Corpus (A corpus of annotated scores) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.13844105
License
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0).
Published by github-actions[bot] about 1 year ago
distant_listening_corpus - Adds Monteverdi, updates all submodules
Published by github-actions[bot] over 1 year ago
distant_listening_corpus - First semi-public version of the DLC
This version has been released for review purposes: The datapackage includes the complete corpus data, but the unpublished sub-corpora remain private at this point. Also, this is the first release to integrate with Zenodo, which will mint the DOI for this dataset.
Published by github-actions[bot] over 1 year ago
distant_listening_corpus - More submodules updated to workflow v4.3 and extracted with ms3 v2.4.1, including `chords`
Published by github-actions[bot] over 2 years ago
distant_listening_corpus - Includes pieces that had been missing
Updated version_release workflow to v3.1.
This release has an additional, manually created datapackage that omits the three Frescobaldi pieces annotated in e.phrygian because their expanded harmonies tables are incomplete. This package was created using the command
ms3 transform -M -N -X -D -e "12.31|12.33|12.45"
using ms3 2.2.2.post1.dev7+gdfeb32d.
Published by github-actions[bot] over 2 years ago
distant_listening_corpus - Removed unannotated Debussy repos
Also, the Frescobaldi scores were updated. One was missing its global key.
Published by github-actions[bot] over 2 years ago