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ilya16
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PERiScoPe

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Tags:

music

piano

midi

expressive performance

score-to-performance

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The dataset viewer is not available for this subset.

Cannot get the split names for the config 'default' of the dataset.

Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 289, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 83, in _split_generators
                  raise ValueError(
              ValueError: The TAR archives of the dataset should be in WebDataset format, but the files in the archive don't share the same prefix or the same types.
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 65, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 343, in get_dataset_split_names
                  info = get_dataset_config_info(
                         ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 294, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

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PERiScoPe: Piano Expression Refined Score and Performance MIDI Dataset

PERiScoPe is a large-scale dataset of aligned piano scores and performances collected and utilized in the paper SyMuPe: Affective and Controllable Symbolic Music Performance.

The dataset combines and processes open-source collections such as (n)ASAP and ATEPP with a set of curated web-collected and transcribed MIDI performances, all aligned and cleaned to produce parallel score and performance note sequences.

Related Resources

GitHub: https://github.com/ilya16/SyMuPe
Website: https://ilya16.github.io/SyMuPe

Dataset Structure

The repository is organized by version.

/
├── metadata.csv                # Metadata for v1.1 (copy of v1.1/metadata.csv)
├── DISCLAIMER.md               # Usage terms and copyright notice
│
├── v1.1/                       # CURRENT (Bug-fix Release)
│   ├── periscope_raw_v1.1.tar.gz
│   ├── periscope_aligned_v1.1.tar.gz
│   └── metadata_v1.1.csv
│
└── v1.0/                       # LEGACY (SyMuPe Paper Snapshot)
    ├── periscope_raw_v1.0.tar.gz
    ├── periscope_aligned_v1.0.tar.gz
    └── metadata_v1.0.csv

Archives Content

_raw_: Contains the input data grouped by composer, piece name and (if available) movement name.
- Score: MusicXML files and MIDI scores computed using partitura.
- Performance: MIDI files taken from ASAP, ATEPP or transcribed from audio using Transkun V2.
_aligned_: Contains the processed pairs.
- Score: MIDI scores with tracks merged into a single track.
- Performance: MIDI files with note-by-note alignment to score MIDI files. The alignment was computed using Parangonar, cleaned to remove high inter-onset/intra-onset deviations, and interpolated for all unperformed notes.
- Alignment: numpy array file with the alignment between the score and performance MIDI files.

Unarchived File Structure

After extracting the archives, the dataset follows this directory structure:

PERiScoPe-1.1/
├── metadata.csv
├── data/
│   ├── Johann_Sebastian_Bach/
│   │   ├── Italian_Concerto,_BWV_971/
│   │   │   ├── ASAP_KyykhynenT03.mid
│   │   │   ├── ...
│   │   │   ├── score_ASAP.mid
│   │   │   └── score.musicxml
│   │   └── ...
│   └── ...
└── data_aligned/
    ├── Johann_Sebastian_Bach/
    │   ├── Italian_Concerto,_BWV_971/
    │   │   ├── ASAP_KyykhynenT03.mid
    │   │   ├── ASAP_KyykhynenT03.npy
    │   │   ├── ...
    │   │   └── score_ASAP.mid
    │   └── ...
    └── ...

Using the prefixes ASAP_, ATEPP_, and PERiScoPe_ in the filenames, it is possible to filter out MIDI performances from specific source collections.

Version History

v1.1 (January 2026)

A maintenance release improving data quality.

Score Fix: Recomputed score MIDI files to match MusicXML note velocities (fixing the previous velocity=1 issue).
Metadata Fix: Corrected metadata entries for 318 items.
Alignment Update: Applied an updated alignment cleaning algorithm with more rigorous filtering of low alignments. This results in 1,162 fewer pairs than v1.0 but ensures higher alignment accuracy.

Statistics

Dataset	Composers	Scores	Performances	Duration	Notes
(n)ASAP	16 (16)	215 (221)	992 (1,066)	87h (94h)	3.3M (3.6M)
ATEPP	19 (25)	652 (1,553)	7,243 (11,674)	603h (1,003h)	18.5M (31.9M)
Web-Collected	66 (82)	1,151 (2,301)	27,580 (28,500)	2,158h (2,686h)	66.5M (82.0M)
Total	66 (82)	1,163 (2,738)	35,815 (46,473)	2,848h (3,784h)	88.4M (117.5M)

*: Format: Aligned (Raw). "Aligned" refers to the note-aligned pairs in _aligned_. "Raw" refers to the total source material in _raw_.

v1.0 (March 2025) - Legacy

The original dataset used for the experiments and training the models presented in the SyMuPe paper.
Retained for reproducibility of the results reported in the paper.
Known Issues: Score MIDI files might have note velocities of 1. Some performances correspond to incorrect compositions.

Statistics

Dataset	Composers	Scores	Performances	Duration	Notes
(n)ASAP	16 (16)	215 (221)	1,004 (1,066)	89h (94h)	3.4M (3.6M)
ATEPP	19 (25)	656 (1,553)	7,794 (11,674)	664h (1,003h)	21.0M (31.9M)
Web-Collected	67 (82)	1,162 (2,301)	28,179 (33,733)	2,215h (2,686h)	68.7M (82.0M)
Total	67 (82)	1,176 (2,738)	36,977 (46,473)	2,968h (3,784h)	93.1M (117.5M)

Copyright and Licensing

Usage License: The dataset structure, metadata, and alignment annotations are distributed under the CC-BY-NC-SA 4.0 license.

Disclaimer: The MIDI files contained in this dataset are derived from various sources, including public web scraping and automatic transcription. We do not claim ownership of the underlying musical compositions or the original audio performances. These files are provided solely for non-commercial research purposes.

By accessing this dataset, you agree to the terms outlined in DISCLAIMER.md.

Citation

If you use the dataset, please cite the paper:

@inproceedings{borovik2025symupe,
  title = {{SyMuPe: Affective and Controllable Symbolic Music Performance}},
  author = {Borovik, Ilya and Gavrilev, Dmitrii and Viro, Vladimir},
  year = {2025},
  booktitle = {Proceedings of the 33rd ACM International Conference on Multimedia},
  pages = {10699--10708},
  doi = {10.1145/3746027.3755871}
}

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Paper for ilya16/PERiScoPe

SyMuPe: Affective and Controllable Symbolic Music Performance

Paper • 2511.03425 • Published Nov 5, 2025 • 1