acr-engine/data/models_v4/song_to_idx.json · 81704aceac547a76573fe45c658df3ff529cfcf6 · wanghai-tech / hikoon-ACR · GitLab

Add external dataset bootstrap and record hard-case oversampling regression · ad350314 ...

Extend the data ingress path with bootstrap manifests for real datasets and capture an unsuccessful hard-case oversampling experiment so future iterations can avoid repeating the same weak strategy.

Constraint: Continuous optimization requires preserving negative results, not just successful ones
Rejected: Drop the oversampling attempt without record | would lose evidence and encourage redoing the same low-yield change
Confidence: high
Scope-risk: moderate
Directive: Next hard-case work should focus on melody-aware supervision and harder negatives instead of naive sample repetition
Tested: bootstrap manifest generation for FMA and CCMusic; 2-epoch CPU training for models_v4; index_v4 build; fast eval JSON generation for smoke-v4
Not-tested: whitelisted real audio ingestion beyond placeholder manifests; full melody-aware slow-eval on models_v4

authored 2026-06-02 12:11:02 +0800

song_to_idx.json

296 Bytes

Raw
Blame
History
Permalink

{
  "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
}