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Recent Releases of c_schumann_lieder

c_schumann_lieder - First public release

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.

Clara Schumann – Lieder (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 consists of two song cycles by Clara Schumann, op. 13 and op. 23, written about ten years apart. Op. 13, completed three years after the composer's marriage to Robert Schumann, sets German Romantic poems by Heine, Geibel, and Rückert. Op. 23 was published with the title "6 Lieder aus Jucunde," drawing its text from the eponymous novel with poems by political radical Hermann Rollett, and was composed during the flurry of activity that accompanied the composer's close friendship with Johannes Brahms. Both cycles incorporate virtuosic piano accompaniments befitting their composer's status as a distinguished concert soloist. The annotations in this corpus illustrate the equally rich details found in high-Romantic chromatic harmony and counterpoint.

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 song, Ich stand in dunklen Traumen, of the first cycle, Op. 13 has the following files:

  • MS3/op13no1 Ich stand in dunklen Traumen.mscx: Uncompressed MuseScore 3.6.2 file including the music and annotation labels.
  • notes/op13no1 Ich stand in dunklen Traumen.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/op13no1 Ich stand in dunklen Traumen.measures.tsv: A table with relevant information about the measures in the score.
  • chords/op13no1 Ich stand in dunklen Traumen.chords.tsv: A table containing layer-wise unique onset positions with the musical markup (such as dynamics, articulation, lyrics, figured bass, etc.).
  • harmonies/op13no1 Ich stand in dunklen Traumen.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/op13no1 Ich stand in dunklen Traumen.harmonies.tsv") notes = ms3.loadtsv("notes/op13no1 Ich stand in dunklen Traumen.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). Clara Schumann – Lieder (A corpus of annotated scores) [Data set]. Zenodo. https://doi.org/{{ concept_doi }}

License

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


Published by github-actions[bot] over 1 year ago

c_schumann_lieder - Eliminate Warnings

https://op-musicology.epfl.ch/projects/distant-listening-corpus/work_packages/1355/

This repo contains an unresolved ERROR message due to an edge case VOLTA scenario which cannot be ignored.

In op23no3 the VOLTAS cannot be computed, because of the unique volta repeat structure. Not only are there voltas of different lengths in this piece, but also the first volta is repeated more than once, so there seems to be two values in the volta_start column separated by a comma to represent this repetition, instead of a single integer value. At the moment I don't know which column is being referred to, since metadata.tsv on my end contains only volta_mcs. I've tried reading up about this, but as of now can't see how to fix it. @johentsch please advise.


Published by github-actions[bot] over 1 year ago

c_schumann_lieder - Updated metadata, streamlined score prelims

https://op-musicology.epfl.ch/projects/distant-listening-corpus/work_packages/1378/activity


Published by github-actions[bot] over 2 years ago