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Start Over Language No linguistic content Publisher Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL) Subject GrandStaff

1. GrandStaff-LMX: Linearized MusicXML Encoding of the GrandStaff Dataset

Creator:
Mayer, Jiří, Straka, Milan, Hajič jr., Jan, and Pecina, Pavel
Publisher:
Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
Type:
image and corpus
Subject:
GrandStaff, pianoform scores, MusicXML, and Linearized MusicXML
Language:
No linguistic content
Description:
The GrandStaff-LMX dataset is based on the GrandStaff dataset described in the "End-to-end optical music recognition for pianoform sheet music" paper by Antonio Ríos-Vila et al., 2023, https://doi.org/10.1007/s10032-023-00432-z . The GrandStaff-LMX dataset contains MusicXML and Linearized MusicXML encodings of all systems from the original datase, suitable for evaluation with the TEDn metric. It also contains the GrandStaff official train/dev/split.
Rights:
Creative Commons - Attribution-ShareAlike 4.0 International (CC BY-SA 4.0), http://creativecommons.org/licenses/by-sa/4.0/, and PUB