acr-engine/data/models_v5/song_to_idx.json · 0f75787baf94fc7a20755192c8d1cbbaf2d9404e · wanghai-tech / hikoon-ACR · GitLab

Extend dataset bootstrap coverage and improve humming hard-case weighting · 48c97a90 ...

Broaden external dataset bootstrap support and replace naive hard-case oversampling with a more targeted weighting signal that measurably helps humming-like queries while preserving the release/eval workflow.

Constraint: Hard-case optimization must be evidence-driven and preserve a record of mixed outcomes across iterations
Rejected: Reuse naive oversampling after regression | it already showed worse overall behavior with no hard-case gain
Confidence: medium
Scope-risk: moderate
Directive: Next iteration should target confused-case negatives explicitly; do not assume humming gains transfer to confusion robustness
Tested: bootstrap generation for MTG-Jamendo and ModelScope placeholders; 2-epoch CPU training for models_v5; index_v5 build; fast eval JSON generation for smoke-v5
Not-tested: real audio ingestion for the new datasets; full melody-aware slow evaluation on models_v5

authored 2026-06-02 12:15:19 +0800

song_to_idx.json

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{
  "song_0000": 0,
  "song_0001": 1,
  "song_0002": 2,
  "song_0003": 3,
  "song_0004": 4,
  "song_0005": 5,
  "song_0006": 6,
  "song_0007": 7,
  "song_0008": 8,
  "song_0009": 9,
  "song_0010": 10,
  "song_0011": 11,
  "song_0012": 12,
  "song_0013": 13,
  "song_0014": 14,
  "song_0015": 15
}