POP909
dataset·symbolic pop arrangement·active
Professional piano arrangements of 909 popular songs with aligned MIDI and structural annotations.
Verified facts
| Official site | https://github.com/music-x-lab/POP909-Dataset ↗ |
|---|---|
| Geography | China |
| arxiv | 2008.07142 |
| github repository | music-x-lab/POP909-Dataset |
| size | songs: 909 · duration hours approx: 60 |
| scope | Popular-song arrangement generation and symbolic MIR. |
| genres | popular music |
| steward | Music X Lab |
| creators | Ziyu Wang; Ke Chen; Junyan Jiang; Yiyi Zhang; Maoran Xu; Shuqi Dai; Xianbin Gu; Gus Xia |
| languages | Chinese and international popular-song metadata |
| modalities | MIDI; aligned audio references; tempo; beat; key; chord annotations |
| geographies | China; Global |
| access method | GitHub repository. |
| intended uses | music arrangement generation; symbolic music modeling; chord and beat research |
| related papers | POP909: A Pop-song Dataset for Music Arrangement Generation |
| annotation method | Tempo curves hand labeled; beat, chord and key annotations produced with MIR algorithms. |
| collection method | Professional musicians created multiple piano arrangements for selected popular songs. |
| current availability | Repository available. |
| us market scope basis | Publicly available or materially used in US-facing music/audio-AI research. |
| limitations biases disputes | Underlying popular-song compositions and reference audio are likely copyrighted.; Some annotations are algorithmic rather than expert ground truth. |
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