| --- |
| license: cc-by-nc-4.0 |
| pretty_name: PianoVid-R |
| task_categories: |
| - video-classification |
| tags: |
| - piano |
| - music-transcription |
| - fingering |
| - audio-visual |
| size_categories: |
| - 10K<n<100K |
| extra_gated_prompt: >- |
| PianoVid-R is released under CC BY-NC 4.0 for non-commercial research. By requesting |
| access you agree not to attempt to identify the pianists, not to redistribute the videos, |
| and to cite the paper in work that uses the dataset. |
| extra_gated_fields: |
| Name: text |
| Affiliation: text |
| I agree to the terms above: checkbox |
| --- |
| |
| # PianoVid-R |
|
|
| Video recordings of piano performances from 80 pianists, paired with the MIDI |
| recorded by the piano and fingering labels derived from the video. The dataset accompanies |
| the paper *A Video Dataset and Key-Aligned Model for Visual Piano Transcription and |
| Fingering Recognition* (Liu, Chen, Grüner, Koepke). |
|
|
| Paper: https://arxiv.org/abs/XXXX.XXXXX · Project page: https://timbermorph.github.io/PianoLite/ · Code: https://github.com/Timbermorph/PianoLite |
|
|
| All recordings were made on one Yamaha Disklavier under a fixed overhead camera, so onsets, |
| key releases and velocities come from the instrument rather than from audio transcription. |
| Video and MIDI are aligned to within one frame for almost every recording. Fingering labels |
| are derived from the video by reconstructing the hands in 3D and matching fingertips to the |
| keys at each onset; a manual check agrees with 95.6% of them. All pianists consented to the |
| recording and its release. |
|
|
| | | Hours | Pianists | Onsets | Note labels | Finger labels | |
| |---|---|---|---|---|---| |
| | PianoVid-R | 39.6 | 80 | 814,554 | recorded MIDI | 98% of onsets | |
|
|
| | Split | Recordings | Pianists | Hours | Onsets | Onsets / s | |
| |---|---|---|---|---|---| |
| | Train | 80 | 58 | 25.8 | 398k | 4.3 | |
| | Val | 12 | 10 | 5.6 | 145k | 7.2 | |
| | Test | 18 | 12 | 8.2 | 272k | 9.2 | |
|
|
| ## Layout |
|
|
| Rectified 800 x 144 grayscale video at 25 fps in 15-second chunks (375 frames, consecutive |
| chunks overlap by 4 frames), one per-frame label file per chunk, one note list per |
| recording, and one fingering file per chunk. |
|
|
| ``` |
| dataset.csv one row per chunk |
| videos/<recording>/chunk_<i>.mp4 |
| annotations/<recording>/chunk_<i>.npz |
| events/<recording>.tsv |
| finger_labels/<recording>/chunk_<i>.npz |
| ``` |
|
|
| `dataset.csv` columns: `split` (train / val / test), `chunk_path`, `annotation_path`, |
| `record_time` (recording id), `start_frame` (first frame of the chunk in the recording), |
| `num_frames`, `fps`, `event_path`, `label_start_frame` (the chunk's first frame on the |
| timeline of the event file). |
|
|
| Annotation files hold `[num_frames, 88]` arrays: `onset_roll` (1 at the onset frame), |
| `frame_roll` (1 while the key is held), `offset_roll` (1 at the key-release frame), |
| `velocity_roll` (MIDI velocity at the onset frame) and `velocity_mask`. Event files are |
| tab-separated with the header `# onset key_offset frame_offset note velocity` (seconds; |
| `key_offset` is the physical key release). Fingering files hold `finger_roll` |
| `[num_frames, 88]` with 0 = no onset, 1-5 = left thumb to little finger, 6-10 = right thumb |
| to little finger, 255 = unknown. |
|
|
| ## Use |
|
|
| Download into `dataset/pianovid_r/` of the [PianoLite](https://github.com/Timbermorph/PianoLite) |
| repository and set `dataset.data_root` in a config to that directory. |
|
|
| ## License |
|
|
| CC BY-NC 4.0, for non-commercial research. Please do not attempt to identify the pianists, |
| do not redistribute the videos, and cite the paper in work that uses the dataset. If a |
| pianist withdraws consent, the affected recordings are removed in the next release; please |
| delete them from your copy when notified. Contact: jianzhe.liu@tum.de |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{liu2026pianolite, |
| title = {A Video Dataset and Key-Aligned Model for Visual Piano Transcription and Fingering Recognition}, |
| author = {Liu, Jianzhe and Chen, Danqing and Gr{\"u}ner, Inken and Koepke, A. Sophia}, |
| journal = {arXiv preprint arXiv:XXXX.XXXXX}, |
| year = {2026} |
| } |
| ``` |
|
|
