Schubert Winterreise Dataset

The Schubert Winterreise Dataset (SWD) is a multimodal dataset comprising various representations and annotations of Franz Schubert's 24-song cycle Winterreise. The primary material (raw data) consists of textual representations of the songs' lyrics, music scores in image, symbolic, and MIDI format, as well as nine audio recordings of performances (only two included due to copyright issues). The secondary material (annotations) comprises information of musical measure positions in sheet music images and audio recordings as well as analyses of chords, local keys, global keys, and structural parts.

UPDATE: Version 2.0 contains additional note annotations comprising pitch, pitch class (chroma), and instrument labels for each note event (generated semi-automatically).

The SWD is organized as follows:

01_RawData

• lyrics_txt
• score-IMSLP_png
• score-IMSLP_pdf-complete.pdf
• score_sibelius
• score_pdf
• score_musicxml
• score_midi
• audio_wav

02_Annotations

• ann_score-IMSLP_measure
• ann_score_chord
• ann_score_localkey-ann1
• ann_score_localkey-ann2
• ann_score_localkey-ann3
• ann_score_globalkey.csv
• ann_score_structure
• ann_audio_measure
• ann_audio_chord
• ann_audio_localkey-ann1
• ann_audio_localkey-ann2
• ann_audio_localkey-ann3
• ann_audio_globalkey.csv
• ann_audio_structure
• ann_audio_note

03_ExtraMaterial

• original data
• scripts for cutting
• licenses of the published performances

Further information can be found in the README file and the accompanying journal paper.

License:

The dataset is published under a Creative Commons Attribution 3.0 Unported license (https://creativecommons.org/licenses/by/3.0/legalcode). We acknowledge the publication of the performance by baritone Randall Scarlata with pianist Jeremy Denk (denoted as SC06), published under the same license by the Isabella Stewart Gardner Museum (Boston). Please note that the audio files of this performance must not be re-distributed in modified form. All other sources for the dataset are in the Public Domain.