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README.md
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license: cc-by-nc-sa-4.0
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---
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license: cc-by-nc-sa-4.0
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task_categories:
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- audio-classification
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tags:
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- music
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- piano
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- midi
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- symbolic-music
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- expressive-performance
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- score-to-performance
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pretty_name: PianoCoRe
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size_categories:
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- 100K<n<1M
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source_datasets:
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- extended
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- original
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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- split: test
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path: data/test-*
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dataset_info:
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features:
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- name: id
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dtype: string
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- name: composer
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dtype: string
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- name: composition
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dtype: string
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- name: movement
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dtype: string
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- name: performance_id
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dtype: string
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- name: split
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dtype: string
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- name: tier_b
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dtype: bool
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- name: tier_a
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dtype: bool
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- name: tier_a_star
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dtype: bool
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- name: score_dataset
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dtype: string
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- name: score_id
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dtype: string
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- name: score_xml_path
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dtype: string
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- name: score_midi_path
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dtype: string
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- name: score_note_count
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dtype: float32
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- name: score_duration
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dtype: float32
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- name: performance_dataset
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dtype: string
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- name: performance_midi_path
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dtype: string
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- name: performance_note_count
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dtype: float32
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- name: performance_duration
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dtype: float32
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- name: performer
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dtype: string
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- name: is_transcription
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dtype: bool
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- name: capture_model
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dtype: string
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- name: raw_alignment_path
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dtype: string
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- name: raw_recall
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dtype: float32
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- name: raw_precision
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dtype: float32
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- name: raw_adjusted_alignment_ratio
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dtype: float32
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- name: is_duplicate
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dtype: bool
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- name: lead_performance
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dtype: string
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- name: quality_label
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dtype: string
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- name: prob_score
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dtype: float32
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- name: prob_high_quality
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dtype: float32
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- name: prob_low_quality
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dtype: float32
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- name: prob_corrupted
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dtype: float32
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- name: is_refined
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dtype: bool
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- name: refined_score_midi_path
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dtype: string
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- name: refined_score_note_count
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dtype: float32
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- name: refined_score_duration
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dtype: float32
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- name: refined_performance_midi_path
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dtype: string
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- name: refined_performance_note_count
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dtype: float32
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- name: refined_performance_interpolated_note_count
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dtype: float32
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- name: refined_performance_duration
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dtype: float32
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- name: refined_alignment_path
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dtype: string
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- name: refined_recall
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dtype: float32
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- name: score_xml_bytes
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dtype: binary
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- name: score_midi_bytes
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dtype: binary
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- name: performance_midi_bytes
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dtype: binary
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- name: raw_alignment_bytes
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dtype: binary
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- name: refined_score_midi_bytes
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dtype: binary
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- name: refined_performance_midi_bytes
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dtype: binary
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- name: refined_alignment_bytes
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dtype: binary
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---
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# PianoCoRe: Combined and Refined Piano MIDI Dataset
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**PianoCoRe** is a large-scale piano MIDI dataset that unifies and refines major open-source piano corpora.
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It contains **250,046 performances** of **5,625 pieces** written by **483 composers**, totaling **21,763 hours** of performed music.
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**PianoCoRe** provides the most diverse composer- and composition-annotated piano MIDI data.
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The metadata includes deduplication flags, MIDI quality labels and precise note-level score-performance alignments.
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The alignments are refined using a **Refined Alignment for Scores and Performances (RAScoP)** pipeline, integrated into the [Symbolic Music Performance modeling (SyMuPe)](https://github.com/ilya16/SyMuPe) Python package.
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The pipeline ensures perfect note-by-note score-performance synchronization for expressive performance modeling.
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## Related Resources
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* **Publication:** https://transactions.ismir.net/articles/10.5334/tismir.333
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* **GitHub:** https://github.com/ilya16/PianoCoRe
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* **Zenodo:** https://zenodo.org/records/19186016
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**Note**: This Hugging Face version stores data in compressed Parquet files with raw bytes.
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If you prefer plain MIDI files in a directory structure, please use the [Zenodo Mirror](https://doi.org/10.5281/zenodo.19186016).
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## Dataset Tiers
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| Dataset | Composers | Pieces | Performances | Hours | Scores | Alignments |
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| --- | :---: | :---: | :---: | :---: | :---: | :---: |
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| **PianoCoRe-C** | 483 | 5,625 | 250,046 | 21,763 | 75.3% | no |
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| **PianoCoRe-B** | 478 | 5,591 | 214,092 | 18,757 | 75.0% | no |
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| **PianoCoRe-A** | 151 | 1,591 | 157,207 | 12,509 | 100% | note |
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| **PianoCoRe-A\*** | 137 | 1,517 | 130,275 | 10,330 | 100% | note |
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To support different research applications, the dataset is organized into tiered subsets:
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- **PianoCoRe-C (Combined):** a complete mixed-source piano performance collection.
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*Applications*: piano performance analysis, data cleaning algorithms.
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- **PianoCoRe-B (Base):** a deduplicated and quality-filtered subset.
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*Applications*: large-scale pre-training, piano performance generation.
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- **PianoCoRe-A (Aligned):** a subset containing performances aligned to score.
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*Applications*: score-performance analysis, expressive piano performance rendering.
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- **PianoCoRe-A\*:** a high quality subset of the best-quality performances and note-level alignments.
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*Applications*: expressive piano performance rendering, performance-to-score transcription.
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---
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## Dataset Metadata
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The **PianoCoRe** metadata rows are organized using a natural sort based on performance MIDI paths.
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The following fields are defined for each entry:
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### Core:
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- **id** (string): unique sample ID (format: `PianoCoRe_XXXXXX`)
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- **composer** (string): name of the composer (format: `[last_name],_[first_name]`)
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- **composition** (string): title of the musical work/composition
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- **movement** (string, optional): name of the specific movement/part of the composition
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- **performance_id** (string): ID of the performance MIDI file, derived from the source dataset name and its internal ID
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### Subsets:
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- **split** (string): dataset split (`train` or `test`)
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- **tier_b** (bool): whether the performance is in the **PianoCoRe-B** subset (deduplicated and quality-filtered)
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- **tier_a** (bool):whether the performance is in the **PianoCoRe-A** subset (note-aligned to scores)
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- **tier_a_star** (bool): whether the performance is in the **PianoCoRe-A*** subset (highest-confidence alignments)
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### Score:
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- **score_dataset** (string, optional): source dataset for the score MusicXML/MXL files (ASAP/ATEPP/PDMX/MuseScore)
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- **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
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- **score_xml_path** (string, optional): path to the score MusicXML/MXL file within the `raw/` directory
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- **score_midi_path** (string, optional): path to the score MIDI file within the `raw/` directory
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- **score_note_count** (integer, optional): number of notes in the score MIDI
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- **score_duration** (float, optional): duration of the score MIDI in seconds
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### Performance:
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- **performance_dataset** (string): source dataset of the performance MIDI
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- **performance_midi_path** (string): path to the performance MIDI file within the `raw/` directory
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- **performance_note_count** (integer): number of notes in the performance MIDI
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- **performance_duration** (float): duration of the performance MIDI in seconds
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- **performer** (string, optional) name of the pianist (if available)
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- **is_transcription** (bool): whether the performance MIDI was transcribed from audio
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- **capture_model** (string): hardware (e.g., Yamaha Disklavier) or ML model used to transcribe the MIDI
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### Raw alignment:
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- **raw_alignment_path** (string, optional): path to the raw `_align.npz` score-performance alignment file within the `raw/` directory, contains indices, pitches and onset for score and performance notes
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- **raw_recall** (float, optional): $R_a$, raw alignment recall
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- **raw_precision** (float, optional): $P_a$, raw alignment precision
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- **raw_adjusted_alignment_ratio** (float, optional): $R'_a$, raw alignment adjusted alignment ratio, defined as $R'_a = \max(P_a, R_a)$
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### Deduplication (PianoCoRe-B):
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- **is_duplicate** (bool): whether the performance is a near-duplicate of the other performance (`lead_performance`)
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- **lead_performance** (string, optional): path to the main (higher priority) version for the duplicate performance MIDI
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### Quality labels (PianoCoRe-B):
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- **quality_label** (string): MIDI quality label predicted by the classifier ('score', 'high quality', 'low quality' or 'corrupted')
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- **prob_score** (float): classifier confidence for Score (S) MIDI quality class
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- **prob_high_quality** (float): classifier confidence for High Quality (HQ) MIDI quality class
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- **prob_low_quality** (float): classifier confidence for Low Quality (LQ) MIDI quality class
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- **prob_corrupted** (float): classifier confidence for Corrupted (C) MIDI quality class
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### Refined score, performance and alignment (PianoCoRe-A/A*):
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- **is_refined** (bool): whether the performance MIDI was cleaned and refined
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- **refined_score_midi_path** (string, optional): path to the refined (single-track) score MIDI file within the `refined/` directory
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- **refined_score_note_count** (integer, optional): number of notes in the refined score MIDI
|
| 240 |
+
- **refined_score_duration** (float, optional): duration of the refined score MIDI in seconds
|
| 241 |
+
- **refined_performance_midi_path** (string, optional): path to the refined (note-by-note aligned) performance MIDI file within the `refined/` directory
|
| 242 |
+
- **refined_performance_note_count** (integer, optional): number of notes in the refined performance MIDI
|
| 243 |
+
- **refined_performance_interpolated_note_count** (integer, optional): number of synthetic notes added during the interpolation stage
|
| 244 |
+
- **refined_performance_duration** (float, optional): duration of the refined performance MIDI in seconds
|
| 245 |
+
- **refined_alignment_path** (string, optional): path to the `_refined_align.npz` score-performance alignment file within the `refined/` directory, contains performance indices and boolean interpolation mask
|
| 246 |
+
- **refined_recall** (float, optional): $R_{RAScoP}$, refined alignment recall
|
| 247 |
+
|
| 248 |
+
### Binary data:
|
| 249 |
+
- **score_xml_bytes** (binary, optional) raw data for the score MusicXML/MXL file
|
| 250 |
+
- **score_midi_bytes** (binary, optional) raw data for the score MIDI file
|
| 251 |
+
- **performance_midi_bytes** (binary): raw data for the performance MIDI file
|
| 252 |
+
- **raw_alignment_bytes** (binary, optional): raw data for the raw `.npz` alignment file
|
| 253 |
+
- **refined_score_midi_bytes** (binary, optional): raw data for the refined score MIDI file
|
| 254 |
+
- **refined_performance_midi_bytes** (binary, optional): raw data for the refined performance MIDI file
|
| 255 |
+
- **refined_alignment_bytes** (binary, optional): raw data for the refined `.npz` alignment file
|
| 256 |
+
|
| 257 |
+
---
|
| 258 |
+
|
| 259 |
+
## Ethical Statement
|
| 260 |
+
|
| 261 |
+
The curation of large-scale symbolic datasets presents challenges regarding copyright and intellectual property.
|
| 262 |
+
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).
|
| 263 |
+
|
| 264 |
+
## Licensing and Terms of Use
|
| 265 |
+
|
| 266 |
+
The dataset, original and processed files, metadata, and alignment annotations are published under a **[CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/)** license.
|
| 267 |
+
The license respects the licenses used for the source datasets. The underlying MIDI transcriptions are provided strictly for **non-commercial research and educational purposes**.
|
| 268 |
+
|
| 269 |
+
## Acknowledgments
|
| 270 |
+
|
| 271 |
+
PianoCoRe is built upon the invaluable contributions of the open music information retrieval community and existing open-source datasets.
|
| 272 |
+
Acknowledgements and credits are given to the creators of the following source corpora:
|
| 273 |
+
|
| 274 |
+
| Dataset | Reference | Links | License |
|
| 275 |
+
| ------------------- | -------------------------- | ---------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------- |
|
| 276 |
+
| **MAESTRO** | Hawthorne et al. (2019) | [Paper](https://openreview.net/forum?id=r1lYRjC9F7) / [Dataset](https://magenta.withgoogle.com/datasets/maestro) | [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/) |
|
| 277 |
+
| **ASAP** | Foscarin et al. (2020) | [Paper](https://archives.ismir.net/ismir2020/paper/000127.pdf) / [Dataset](https://github.com/fosfrancesco/asap-dataset) | [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/) |
|
| 278 |
+
| **(n)ASAP** | Peter et al. (2023) | [Paper](https://transactions.ismir.net/articles/10.5334/tismir.149) / [Dataset](https://github.com/CPJKU/asap-dataset) | [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/) |
|
| 279 |
+
| **ATEPP** | Zhang et al. (2022) | [Paper](https://archives.ismir.net/ismir2022/paper/000053.pdf) / [Dataset](https://github.com/tangjjbetsy/ATEPP) | [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) |
|
| 280 |
+
| **GiantMIDI-Piano** | Kong et al. (2022) | [Paper](https://transactions.ismir.net/articles/10.5334/tismir.80) / [Dataset](https://github.com/bytedance/GiantMIDI-Piano) | [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) |
|
| 281 |
+
| **Aria-MIDI** | Bradshaw and Colton (2025) | [Paper](https://openreview.net/forum?id=X5hrhgndxW) / [Dataset](https://github.com/loubbrad/aria-midi) | [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/) |
|
| 282 |
+
| **PERiScoPe** | Borovik et al. (2025) | [Paper](https://dl.acm.org/doi/10.1145/3746027.3755871) / [Dataset](https://huggingface.co/datasets/SyMuPe/PERiScoPe) | [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/) |
|
| 283 |
+
| **PDMX** | Long et al. (2025) | [Paper](https://ieeexplore.ieee.org/document/10890217) / [Dataset](https://github.com/pnlong/PDMX/) | [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) |
|
| 284 |
+
|
| 285 |
+
## Citation
|
| 286 |
+
|
| 287 |
+
If you use this dataset in your research, please cite:
|
| 288 |
+
|
| 289 |
+
```bibtex
|
| 290 |
+
@article{borovik2026pianocore,
|
| 291 |
+
title={{PianoCoRe: Combined and Refined Piano MIDI Dataset}},
|
| 292 |
+
author={Borovik, Ilya},
|
| 293 |
+
journal={Transactions of the International Society for Music Information Retrieval},
|
| 294 |
+
volume={9},
|
| 295 |
+
number={1},
|
| 296 |
+
pages={144--163},
|
| 297 |
+
year={2026},
|
| 298 |
+
doi={10.5334/tismir.333}
|
| 299 |
+
}
|
| 300 |
+
```
|