McGill Billboard Project
dataset·chord structure annotations·active
Chord, structure and feature annotations for a sampled set of Billboard-chart songs.
Verified facts
| Official site | https://ddmal.ca/research/The_McGill_Billboard_Project_%28Chord_Analysis_Dataset%29/ ↗ |
|---|---|
| Geography | Canada |
| size | sample slots: 890 · distinct songs: 740 |
| scope | Popular-music harmony and structural analysis. |
| genres | Billboard popular music |
| steward | McGill DDMAL |
| creators | John Ashley Burgoyne; Jonathan Wild; Ichiro Fujinaga |
| languages | primarily English-language chart music |
| modalities | chord annotations; structural annotations; audio features; song metadata |
| geographies | United States chart repertoire |
| access method | Annotations and features from the DDMAL project page; audio not provided. |
| intended uses | chord recognition; structural analysis; MIR evaluation |
| related papers | An Expert Ground Truth Set for Audio Chord Recognition and Music Analysis |
| annotation method | Independent expert chord annotations plus SALAMI structural metadata. |
| collection method | Random sample of Billboard chart slots; audio not distributed for every entry. |
| current availability | Annotations available; audio unavailable in canonical package. |
| us market scope basis | Publicly available or materially used in US-facing music/audio-AI research. |
| limitations biases disputes | US chart sampling excludes much global and noncommercial repertoire.; 890 slots map to 740 songs because sampling can repeat titles.; Audio is not distributed. |
| related models tools benchmarks | SALAMI; MIREX chord tasks |
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