This is a README file for a data repository originating from the DCML corpus initiative and serves as welcome page for both
- the GitHub repo https://github.com/DCMLab/schumann_kinderszenen and the corresponding
- documentation page https://dcmlab.github.io/schumann_kinderszenen
For information on how to obtain and use the dataset, please refer to this documentation page.
- Robert Schumann - Kinderszenen (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 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 that is currently in press at Empirical Musicology Review.
See the GitHub releases.
The dataset is version-controlled via git. In order to download the files with all revisions they have gone through, git needs to be installed on your machine. Then you can clone this repository using the command
git clone https://github.com/DCMLab/schumann_kinderszenen.gitIf you are only interested in the current version of the corpus, you can simply download and unpack this ZIP file.
Each piece in this corpus is represented by four files with identical names, each in its own folder. For example, the first movement has the following files:
MS3/n01.mscx: Uncompressed MuseScore file including the music and annotation labels.notes/n01.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/n01.tsv: A table with relevant information about the measures in the score.harmonies/n01.tsv: A list of the included harmony labels (including cadences and phrases) with their positions in the score.
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 and preliminary tests suggest that it renders them correctly.
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.
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/n01.tsv')
notes = ms3.load_tsv('notes/n01.tsv')This section explains the meaning of the columns contained in metadata.tsv.
| 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 note onsets ("slices") |
| column | content |
|---|---|
| composer | composer name |
| workTitle | work title |
| composed_start | earliest composition date |
| composed_end | latest composition date |
| workNumber | Catalogue number(s) |
| movementNumber | 1, 2, or 3 |
| movementTitle | title of the movement |
| 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 |
| annotators | creator(s) of the chord labels |
| reviewers | reviewer(s) of the chord labels |
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) |
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 metadataIf, 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 metadataBy 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.
For questions, remarks etc., please create an issue and feel free to fork and submit pull requests.
Creative Commons Attribution-ShareAlike 4.0 International License (CC BY-SA 4.0).
The file names listed in the Overview below refer to the 13 pieces contained in op. 15.
| file_name | measures | labels | standard | annotators | reviewers |
|---|---|---|---|---|---|
| n01 | 22 | 44 | 2.3.0 | Tal Soker (2.1.1), John Heilig (2.3.0) | AN, JHei, JH |
| n02 | 40 | 123 | 2.3.0 | Tal Soker (2.1.1), John Heilig (2.3.0) | AN, JHei, JH |
| n03 | 31 | 58 | 2.3.0 | Tal Soker (2.1.1), John Heilig (2.3.0) | AN, JHei, JH |
| n04 | 17 | 53 | 2.3.0 | Tal Soker (2.1.1), John Heilig (2.3.0) | AN, JHei, JH |
| n05 | 16 | 48 | 2.3.0 | Tal Soker (2.1.1), John Heilig (2.3.0) | AN, JHei, JH |
| n06 | 24 | 84 | 2.3.0 | Tal Soker (2.1.1), John Heilig (2.3.0) | AN, JHei |
| n07 | 24 | 71 | 2.3.0 | Tal Soker (2.1.1), John Heilig (2.3.0) | AN, JHei |
| n08 | 32 | 73 | 2.3.0 | Tal Soker (2.1.1), John Heilig (2.3.0) | AN, JHei |
| n09 | 24 | 46 | 2.3.0 | Tal Soker (2.1.1), John Heilig (2.3.0) | AN. JHei |
| n10 | 57 | 67 | 2.3.0 | Tal Soker (2.1.1), John Heilig (2.3.0) | AN, JHei |
| n11 | 48 | 140 | 2.3.0 | Tal Soker (2.1.1), John Heilig (2.3.0) | AN, JHei |
| n12 | 32 | 92 | 2.3.0 | Tal Soker (2.1.1), John Heilig (2.3.0) | AN, JHei |
| n13 | 25 | 49 | 2.3.0 | Tal Soker (2.1.1), John Heilig (2.3.0) | AN, JHei |
Overview table automatically updated using ms3.