Datasets:
id stringlengths 16 16 | composer stringclasses 76
values | composition stringclasses 537
values | movement stringlengths 4 96 ⌀ | performance_id stringlengths 9 25 | split stringclasses 1
value | tier_b bool 2
classes | tier_a bool 2
classes | tier_a_star bool 2
classes | score_dataset stringclasses 4
values | score_id stringclasses 403
values | score_xml_path stringclasses 524
values | score_midi_path stringclasses 629
values | score_note_count float32 110 11k ⌀ | score_duration float32 15.1 1.35k ⌀ | performance_dataset stringclasses 5
values | performance_midi_path stringlengths 35 182 | performance_note_count float32 91 49.3k | performance_duration float32 14.2 6.38k | performer stringclasses 615
values | is_transcription bool 2
classes | capture_model stringclasses 5
values | raw_alignment_path stringlengths 47 170 ⌀ | raw_recall float32 0.03 1 ⌀ | raw_precision float32 0.16 1 ⌀ | raw_adjusted_alignment_ratio float32 0.2 1 ⌀ | is_duplicate bool 2
classes | lead_performance stringlengths 40 173 ⌀ | quality_label stringclasses 4
values | prob_score float32 0 1 | prob_high_quality float32 0 1 | prob_low_quality float32 0 1 | prob_corrupted float32 0 1 | is_refined bool 2
classes | refined_score_midi_path stringclasses 623
values | refined_score_note_count float32 110 11k ⌀ | refined_score_duration float32 18.7 1.35k ⌀ | refined_performance_midi_path stringlengths 49 172 ⌀ | refined_performance_note_count float32 110 11k ⌀ | refined_performance_interpolated_note_count float32 0 2.79k ⌀ | refined_performance_duration float32 16.2 1.66k ⌀ | refined_alignment_path stringlengths 55 178 ⌀ | refined_recall float32 0 1 ⌀ | score_xml_bytes unknown | score_midi_bytes unknown | performance_midi_bytes unknown | raw_alignment_bytes unknown | refined_score_midi_bytes unknown | refined_performance_midi_bytes unknown | refined_alignment_bytes unknown |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
PianoCoRe_000009 | Agnew,_Roy | Contrasts | null | Aria_436432_0 | train | true | false | false | null | null | null | null | null | null | Aria-MIDI | Agnew,_Roy/Contrasts/Aria_436432_0.mid | 758 | 155.330002 | null | true | Aria-AMT | null | null | null | null | false | null | high quality | 0 | 0.6265 | 0.3733 | 0 | false | null | null | null | null | null | null | null | null | null | null | null | [
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PianoCoRe_000010 | Agnew,_Roy | Contrasts | null | GiantMIDI_ZLksWOw5_54 | train | true | false | false | null | null | null | null | null | null | GiantMIDI-Piano | Agnew,_Roy/Contrasts/GiantMIDI_ZLksWOw5_54.mid | 736 | 192.092407 | null | true | ByteDance | null | null | null | null | false | null | high quality | 0 | 0.998 | 0.0019 | 0 | false | null | null | null | null | null | null | null | null | null | null | null | [
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PianoCoRe_000011 | Agnew,_Roy | Fantasie_Sonata | null | Aria_080869_0 | train | false | false | false | null | null | null | null | null | null | Aria-MIDI | Agnew,_Roy/Fantasie_Sonata/Aria_080869_0.mid | 5,603 | 596.98999 | null | true | Aria-AMT | null | null | null | null | true | Agnew,_Roy/Fantasie_Sonata/Aria_395742_0.mid | high quality | 0 | 0.6616 | 0.3384 | 0 | false | null | null | null | null | null | null | null | null | null | null | null | [
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PianoCoRe_000012 | Agnew,_Roy | Fantasie_Sonata | null | Aria_395742_0 | train | true | false | false | null | null | null | null | null | null | Aria-MIDI | Agnew,_Roy/Fantasie_Sonata/Aria_395742_0.mid | 5,590 | 598.450012 | null | true | Aria-AMT | null | null | null | null | false | null | high quality | 0 | 0.6548 | 0.345 | 0 | false | null | null | null | null | null | null | null | null | null | null | null | [
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... | null | null | null | null |
PianoCoRe_000013 | Agnew,_Roy | Fantasie_Sonata | null | GiantMIDI_L7YSslhMWQU | train | true | false | false | null | null | null | null | null | null | GiantMIDI-Piano | Agnew,_Roy/Fantasie_Sonata/GiantMIDI_L7YSslhMWQU.mid | 5,954 | 597.713623 | null | true | ByteDance | null | null | null | null | false | null | high quality | 0 | 0.3618 | 0.6299 | 0.0085 | false | null | null | null | null | null | null | null | null | null | null | null | [
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1... | null | null | null | null |
PianoCoRe_000014 | Agnew,_Roy | Sonata_Ballade | null | Aria_912229_0 | train | false | false | false | null | null | null | null | null | null | Aria-MIDI | Agnew,_Roy/Sonata_Ballade/Aria_912229_0.mid | 4,981 | 543.98999 | null | true | Aria-AMT | null | null | null | null | true | Agnew,_Roy/Sonata_Ballade/GiantMIDI_MXyvx1yfDHM.mid | low quality | 0 | 0.2383 | 0.7617 | 0 | false | null | null | null | null | null | null | null | null | null | null | null | "TVRoZAAAAAYAAAABAfRNVHJrAACGIwD/UQMHoSAAsEB/AMAAl1aQJxkKGxmHfCgjHhwehCYuIxQiI4UoMR4UJRmHLEsoFD8eCkY(...TRUNCATED) | null | null | null | null |
PianoCoRe_000015 | Agnew,_Roy | Sonata_Ballade | null | GiantMIDI_MXyvx1yfDHM | train | true | false | false | null | null | null | null | null | null | GiantMIDI-Piano | Agnew,_Roy/Sonata_Ballade/GiantMIDI_MXyvx1yfDHM.mid | 4,266 | 544.182312 | null | true | ByteDance | null | null | null | null | false | null | high quality | 0 | 0.3171 | 0.6812 | 0.0016 | false | null | null | null | null | null | null | null | null | null | null | null | "TVRoZAAAAAYAAQACAYBNVHJrAAAAEwD/UQMHoSAA/1gEBAIYCAH/LwBNVHJrAAB24FSwQH+QfJAnGgIbHoYWKCAEHB6DNS4hASI(...TRUNCATED) | null | null | null | null |
PianoCoRe_000016 | Agnew,_Roy | Trains | null | Aria_014478_0 | train | false | false | false | null | null | null | null | null | null | Aria-MIDI | Agnew,_Roy/Trains/Aria_014478_0.mid | 1,343 | 131.350006 | null | true | Aria-AMT | null | null | null | null | true | Agnew,_Roy/Trains/GiantMIDI_TMT6kYhk1vY.mid | high quality | 0 | 0.9136 | 0.0864 | 0 | false | null | null | null | null | null | null | null | null | null | null | null | "TVRoZAAAAAYAAAABAfRNVHJrAAAktgD/UQMHoSAAsEB/AMAAhDqQVmQAW2kAUG4KS18AT2QAXmQeXEGPWlAAAFsAAFYAAFZkAFt(...TRUNCATED) | null | null | null | null |
PianoCoRe_000017 | Agnew,_Roy | Trains | null | GiantMIDI_TMT6kYhk1vY | train | true | false | false | null | null | null | null | null | null | GiantMIDI-Piano | Agnew,_Roy/Trains/GiantMIDI_TMT6kYhk1vY.mid | 1,318 | 136.144501 | null | true | ByteDance | null | null | null | null | false | null | high quality | 0 | 0.978 | 0.0216 | 0.0006 | false | null | null | null | null | null | null | null | null | null | null | null | "TVRoZAAAAAYAAQACAYBNVHJrAAAAEwD/UQMHoSAA/1gEBAIYCAH/LwBNVHJrAAAkMgewQH+Cc5BWawJKZgBPaQNabAFQawFXZwN(...TRUNCATED) | null | null | null | null |
PianoCoRe_000021 | Albéniz,_Isaac | 6_Pequeños_valses,_Op.25 | 1._Allegretto | Aria_020991_0 | train | true | false | false | null | null | null | null | null | null | Aria-MIDI | Albéniz,_Isaac/6_Pequeños_valses,_Op.25/1._Allegretto/Aria_020991_0.mid | 1,882 | 164.410004 | null | true | Aria-AMT | null | null | null | null | false | null | high quality | 0 | 0.4275 | 0.5728 | 0 | false | null | null | null | null | null | null | null | null | null | null | null | "TVRoZAAAAAYAAAABAfRNVHJrAAAyvQD/UQMHoSAAwACGFpBIUBRERgosQShEAAosAApIAFpDS0ZDAG5CRhQ4NwAzPAo8MhRCAAo(...TRUNCATED) | null | null | null | null |
PianoCoRe: Combined and Refined Piano MIDI Dataset
PianoCoRe is a large-scale piano MIDI dataset that unifies and refines major open-source piano corpora. It contains 250,046 performances of 5,625 pieces written by 483 composers, totaling 21,763 hours of performed music.
PianoCoRe provides the most diverse composer- and composition-annotated piano MIDI data. The metadata includes deduplication flags, MIDI quality labels and precise note-level score-performance alignments.
The alignments are refined using a Refined Alignment for Scores and Performances (RAScoP) pipeline, integrated into the Symbolic Music Performance modeling (SyMuPe) Python package. The pipeline ensures perfect note-by-note score-performance synchronization for expressive performance modeling.
Related Resources
- Publication: https://transactions.ismir.net/articles/10.5334/tismir.333
- GitHub: https://github.com/ilya16/PianoCoRe
- Zenodo: https://zenodo.org/records/19186016
Note: This Hugging Face version stores data in compressed Parquet files with raw bytes. If you prefer plain MIDI files in a directory structure, please use the Zenodo Mirror.
Dataset Tiers
| Dataset | Composers | Pieces | Performances | Hours | Scores | Alignments |
|---|---|---|---|---|---|---|
| PianoCoRe-C | 483 | 5,625 | 250,046 | 21,763 | 75.3% | no |
| PianoCoRe-B | 478 | 5,591 | 214,092 | 18,757 | 75.0% | no |
| PianoCoRe-A | 151 | 1,591 | 157,207 | 12,509 | 100% | note |
| PianoCoRe-A* | 137 | 1,517 | 130,275 | 10,330 | 100% | note |
To support different research applications, the dataset is organized into tiered subsets:
PianoCoRe-C (Combined): a complete mixed-source piano performance collection.
Applications: piano performance analysis, data cleaning algorithms.
PianoCoRe-B (Base): a deduplicated and quality-filtered subset.
Applications: large-scale pre-training, piano performance generation.
PianoCoRe-A (Aligned): a subset containing performances aligned to score.
Applications: score-performance analysis, expressive piano performance rendering.
PianoCoRe-A*: a high quality subset of the best-quality performances and note-level alignments.
Applications: expressive piano performance rendering, performance-to-score transcription.
Dataset Metadata
The PianoCoRe metadata rows are organized using a natural sort based on performance MIDI paths. The following fields are defined for each entry:
Core:
- id (string): unique sample ID (format:
PianoCoRe_XXXXXX) - composer (string): name of the composer (format:
[last_name],_[first_name]) - composition (string): title of the musical work/composition
- movement (string, optional): name of the specific movement/part of the composition
- performance_id (string): ID of the performance MIDI file, derived from the source dataset name and its internal ID
Subsets:
- split (string): dataset split (
trainortest) - tier_b (bool): whether the performance is in the PianoCoRe-B subset (deduplicated and quality-filtered)
- tier_a (bool):whether the performance is in the PianoCoRe-A subset (note-aligned to scores)
- tier_a_star (bool): whether the performance is in the PianoCoRe-A* subset (highest-confidence alignments)
Score:
- score_dataset (string, optional): source dataset for the score MusicXML/MXL files (ASAP/ATEPP/PDMX/MuseScore)
- score_id (string, optional): ID of the score MIDI file, either as in the source dataset or built using the source dataset name and ID
- score_xml_path (string, optional): path to the score MusicXML/MXL file within the
raw/directory - score_midi_path (string, optional): path to the score MIDI file within the
raw/directory - score_note_count (integer, optional): number of notes in the score MIDI
- score_duration (float, optional): duration of the score MIDI in seconds
Performance:
- performance_dataset (string): source dataset of the performance MIDI
- performance_midi_path (string): path to the performance MIDI file within the
raw/directory - performance_note_count (integer): number of notes in the performance MIDI
- performance_duration (float): duration of the performance MIDI in seconds
- performer (string, optional) name of the pianist (if available)
- is_transcription (bool): whether the performance MIDI was transcribed from audio
- capture_model (string): hardware (e.g., Yamaha Disklavier) or ML model used to transcribe the MIDI
Raw alignment:
- raw_alignment_path (string, optional): path to the raw
_align.npzscore-performance alignment file within theraw/directory, contains indices, pitches and onset for score and performance notes - raw_recall (float, optional): $R_a$, raw alignment recall
- raw_precision (float, optional): $P_a$, raw alignment precision
- raw_adjusted_alignment_ratio (float, optional): $R'_a$, raw alignment adjusted alignment ratio, defined as $R'_a = \max(P_a, R_a)$
Deduplication (PianoCoRe-B):
- is_duplicate (bool): whether the performance is a near-duplicate of the other performance (
lead_performance) - lead_performance (string, optional): path to the main (higher priority) version for the duplicate performance MIDI
Quality labels (PianoCoRe-B):
- quality_label (string): MIDI quality label predicted by the classifier ('score', 'high quality', 'low quality' or 'corrupted')
- prob_score (float): classifier confidence for Score (S) MIDI quality class
- prob_high_quality (float): classifier confidence for High Quality (HQ) MIDI quality class
- prob_low_quality (float): classifier confidence for Low Quality (LQ) MIDI quality class
- prob_corrupted (float): classifier confidence for Corrupted (C) MIDI quality class
Refined score, performance and alignment (PianoCoRe-A/A*):
- is_refined (bool): whether the performance MIDI was cleaned and refined
- refined_score_midi_path (string, optional): path to the refined (single-track) score MIDI file within the
refined/directory - refined_score_note_count (integer, optional): number of notes in the refined score MIDI
- refined_score_duration (float, optional): duration of the refined score MIDI in seconds
- refined_performance_midi_path (string, optional): path to the refined (note-by-note aligned) performance MIDI file within the
refined/directory - refined_performance_note_count (integer, optional): number of notes in the refined performance MIDI
- refined_performance_interpolated_note_count (integer, optional): number of synthetic notes added during the interpolation stage
- refined_performance_duration (float, optional): duration of the refined performance MIDI in seconds
- refined_alignment_path (string, optional): path to the
_refined_align.npzscore-performance alignment file within therefined/directory, contains performance indices and boolean interpolation mask - refined_recall (float, optional): $R_{RAScoP}$, refined alignment recall
Binary data:
- score_xml_bytes (binary, optional) raw data for the score MusicXML/MXL file
- score_midi_bytes (binary, optional) raw data for the score MIDI file
- performance_midi_bytes (binary): raw data for the performance MIDI file
- raw_alignment_bytes (binary, optional): raw data for the raw
.npzalignment file - refined_score_midi_bytes (binary, optional): raw data for the refined score MIDI file
- refined_performance_midi_bytes (binary, optional): raw data for the refined performance MIDI file
- refined_alignment_bytes (binary, optional): raw data for the refined
.npzalignment file
Ethical Statement
The curation of large-scale symbolic datasets presents challenges regarding copyright and intellectual property. A best-effort attempt was made to filter PianoCoRe according to European Union public-domain regulations (works whose authors have been deceased for more than 70 years).
Licensing and Terms of Use
The dataset, original and processed files, metadata, and alignment annotations are published under a CC BY-NC-SA 4.0 license. The license respects the licenses used for the source datasets. The underlying MIDI transcriptions are provided strictly for non-commercial research and educational purposes.
Acknowledgments
PianoCoRe is built upon the invaluable contributions of the open music information retrieval community and existing open-source datasets. Acknowledgements and credits are given to the creators of the following source corpora:
| Dataset | Reference | Links | License |
|---|---|---|---|
| MAESTRO | Hawthorne et al. (2019) | Paper / Dataset | CC BY-NC-SA 4.0 |
| ASAP | Foscarin et al. (2020) | Paper / Dataset | CC BY-NC-SA 4.0 |
| (n)ASAP | Peter et al. (2023) | Paper / Dataset | CC BY-NC-SA 4.0 |
| ATEPP | Zhang et al. (2022) | Paper / Dataset | CC BY 4.0 |
| GiantMIDI-Piano | Kong et al. (2022) | Paper / Dataset | CC BY 4.0 |
| Aria-MIDI | Bradshaw and Colton (2025) | Paper / Dataset | CC BY-NC-SA 4.0 |
| PERiScoPe | Borovik et al. (2025) | Paper / Dataset | CC BY-NC-SA 4.0 |
| PDMX | Long et al. (2025) | Paper / Dataset | CC BY 4.0 |
Citation
If you use this dataset in your research, please cite:
@article{borovik2026pianocore,
title={{PianoCoRe: Combined and Refined Piano MIDI Dataset}},
author={Borovik, Ilya},
journal={Transactions of the International Society for Music Information Retrieval},
volume={9},
number={1},
pages={144--163},
year={2026},
doi={10.5334/tismir.333}
}
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