Datasets:

PianoVAM
/

PianoVAM_v1.0

This repository contains the PianoVAM (Visual and Audio Music Performance) dataset, a multi-modal collection of piano performances designed for research in Music Information Retrieval (MIR).

The dataset features synchronized recordings of various piano pieces, providing rich data across several modalities. Our goal is to provide a comprehensive resource for developing and evaluating models that can understand the complex relationship between the visual, auditory, and symbolic aspects of music performance.

How to Cite

If you use the PianoVAM dataset in your research, please cite it as follows:

@inproceedings{kim2025pianovam,
  title={PianoVAM: A Multimodal Piano Performance Dataset},
  author={Kim, Yonghyun and Park, Junhyung and Bae, Joonhyung and Kim, Kirak and Kwon, Taegyun and Lerch, Alexander and Nam, Juhan},
  booktitle={Proceedings of the 26th International Society for Music Information Retrieval Conference (ISMIR)},
  year={2025}
}

Dataset Description

The dataset consists of various piano pieces performed by multiple pianists. The data was captured simultaneously from a digital piano and high-resolution cameras to ensure precise synchronization between the audio, video, and MIDI streams. The collection is designed to cover a range of musical complexities and styles.

Directory Structure

The dataset is organized into the following directories based on data modality:

PianoVAM_v1.0/
├── Audio/
├── Handskeleton/
├── MIDI/
├── TSV/
├── metadata.json
├── README.md
├── Video/         (Coming Soon)
└── Fingering/     (Coming Soon)

Folder Contents

Audio/: Contains the raw audio recordings of the piano performances.
- Format: Uncompressed WAV (.wav).
- Sample Rate: 44100 Hz.
Handskeleton/: Contains the 3D hand landmark data for each performance.
- Format: JSON (.json) files.
- Details: Each file contains frame-by-frame coordinates for the 21 keypoints of both the left and right hands, as captured by MediaPipe Hands.
MIDI/: Contains the ground truth performance data recorded directly from a digital piano.
- Format: Standard MIDI Files (.mid).
- Details: These files provide the precise timing (onset, offset), pitch, and velocity for every note played.
metadata.json: A JSON file that maps each recording to its corresponding data split (train, valid, test, special) and provides other relevant information.

{
"0": {
    "record_time": "2024-02-14_19-10-09",
    "split": "train",
    "composer": "E. Grieg",
    "piece": "Piano Concerto",
    "performance_method": "Solo",
    "performance_type": "DailyPractice",
    "duration": "0 days 00:12:25.493.000000",
    "P1_name": "Yonghyun",
    "P1_gender": "Male",
    "P1_age": "20-29",
    "P1_skill": "Advanced",
    "P1_musicmajor": "No",
    "P2_name": null,
    "P2_gender": null,
    "P2_age": null,
    "P2_skill": null,
    "P2_musicmajor": null,
    "Point_LT": "121, 355",
    "Point_RT": "1839, 345",
    "Point_RB": "1839, 558",
    "Point_LB": "120, 564"
},
    ...
}

TSV/: Contains pre-processed label data derived from the MIDI files for easier parsing. Each file is a tab-separated value file with 5 columns.
- Format: TSV (.tsv).
- Header: onset, key_offset, frame_offset, note, velocity
- Example:
```
onset	key_offset	frame_offset	note	velocity
6.684375	6.740625	6.740625	105	92
6.685417	6.735417	6.735417	96	87
```
- Column Descriptions:
  - onset: The start time of the note in seconds.
  - key_offset: The time when the finger is physically released from the key, in seconds. This is useful for video-based research such as fingering analysis.
  - frame_offset: The time when the sound completely ends, considering pedal usage. This is analogous to the 'offset' used in traditional audio-only transcription.
  - note: The MIDI note number (pitch).
  - velocity: The MIDI velocity (how hard the key was struck).

Coming Soon

Video/: (Coming Soon) This directory will contain the video recordings of the performances. The videos will be synchronized with the audio and MIDI data. The planned format is HDF5 (.h5) containing frame-by-frame image data.
Fingering/: (Coming Soon) This directory will contain detailed frame-by-frame fingering annotations for each note played.

License

This dataset is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0). You are free to share and adapt the material for non-commercial purposes, provided you give appropriate credit and distribute your contributions under the same license.

Contact

For any questions about the dataset, please open an issue in the Community tab of this repository or contact [Your Name/Email].