GrandStaff-LMX: Linearized MusicXML Encoding of the GrandStaff Dataset

Title:

GrandStaff-LMX: Linearized MusicXML Encoding of the GrandStaff Dataset

Creator:

Mayer, Jiří, Straka, Milan, Hajič jr., Jan, and Pecina, Pavel

Contributor:

Ministry of Culture@@DH23P03OVV008@@OmniOMR – rozpoznávání hudebního záznamu pomocí strojového učení pro digitální knihovny@@nationalFunds@@ and Grantová agentura Univerzity Karlovy v Praze@@GAUK 289623@@Generování syntetických trénovacích dat a jiné metody pro rozpoznávání psaných notopisů@@nationalFunds@@

Publisher:

Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)

Identifier:

http://hdl.handle.net/11234/1-5423

Subject:

GrandStaff, pianoform scores, MusicXML, and Linearized MusicXML

Type:

image and corpus

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.

Language:

No linguistic content

Rights:

Creative Commons - Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
http://creativecommons.org/licenses/by-sa/4.0/
PUB

Source:

https://github.com/ufal/olimpic-icdar24

Harvested from:

LINDAT/CLARIAH-CZ repository

Metadata only:

false

Date:

2024-02-12