Scores of Scores
The Scores of Scores lieder corpus encoding project is a major contribution to the OpenScore encoding effort: creating and releasing publicly a large repository of high-quality musical scores which any internet user will be able to download and use as they please.
This is a corpus of French and German songs from the 19th century. We inherited a corpus of vocal lines from Leigh Van Handel et al. whose corpus of French songs is here, and German songs is here. This project involved converted those files and crowd-sourcing completions of the piano piano parts. A full explanation of the project is provided here.
- The original vocal line corpus in krn format with corrections for various typos picked up in attempting to covert from krn to mxl, along with those raw mxl conversions.
- Template scores with the vocal line transcription smartened up with code including the hum2XMLFixUp.py file also provided here.
- 2018 Corpus
- The corpus of completed songs at it stood in 2018, at the time of our first formal release, and the publication of the report with DLfM.
- Current Corpus (External link)
- The corpus as it currently stands: an auto-updating mirror of the full collection on https://musescore.com/openscore-lieder-corpus.
License / Copying
Unless explicitly otherwise stated, all files in this repository are released under Creative Commons Zero (CC0).
Please see the file COPYING.txt for details.
Acknowledging Scores of Scores
Given the CC0 license, you can use Scores of Scores for any purpose and are under no obligation even to acknowledge it ... though that would be courteous! If you make use of Scores of Scores, then please do make that known, and if you use it in an academic context, please cite the report we have published with DLfM:
Mark Gotham, Peter Jonas, Bruno Bower, William Bosworth, Daniel Rootham, and Leigh VanHandel. 2018. ‘Scores of Scores: An OpenScore project to encode and share sheet music.’ In Proceedings of the 5th International Conference on Digital Libraries for Musicology (DLfM’18). ACM, New York, NY, USA. https://doi.org/10.1145/3273024.3273026