Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Software
Data sources: ZENODO
addClaim

ABC–MusicXML–MIDI Correspondence Dataset: A Multi-Format Symbolic Music Collection

Authors: Fresquet, Xavier;

ABC–MusicXML–MIDI Correspondence Dataset: A Multi-Format Symbolic Music Collection

Abstract

This dataset provides a curated collection of symbolic music files represented across multiple formats: ABC notation, MusicXML, and MIDI. It is designed to support research in computational musicology, digital humanities, and symbolic music processing by enabling cross-format comparison, conversion, and analysis. Each musical piece is available in parallel representations, facilitating studies on encoding differences, structural preservation, and the transformation of musical information across symbolic formats. The dataset can be used for:- format conversion benchmarking (ABC ↔ MusicXML ↔ MIDI)- evaluation of symbolic music processing pipelines- comparative analysis of notation systems- training and testing AI models on multi-representation music data From a digital humanities perspective, this dataset also provides a basis for examining how musical structure is encoded differently across representational systems, and how these encodings influence computational interpretation. Contents:- Symbolic music files in ABC notation- Corresponding MusicXML representations- Corresponding MIDI files- Documentation describing dataset structure and usage This dataset is intended for researchers working in digital humanities, music information retrieval, and AI-based music analysis.

Powered by OpenAIRE graph
Found an issue? Give us feedback