Commit f1795609 f179560988c8a9565d0635fcd11df0508efd034e by cnb.bofCdSsphPA

Add service and dataset-ingest scaffolding for an industrial ACR path

Prepare the prototype for industrial evolution by adding a service surface, external manifest conversion tools, and dataset adapter scaffolding with explicit licensing checkpoints.

Constraint: Commercialization requires auditable data ingress and callable service boundaries, not just offline notebooks
Rejected: Delay service and data-ingest work until after model perfection | would block end-to-end productization and ops readiness
Confidence: medium
Scope-risk: moderate
Directive: Next stages should connect real whitelisted datasets, benchmark latency, and improve hard-case acceptance/rejection quality
Tested: dataset adapter registry/describe/init commands; manifest csv-to-catalog; service health; service build_index; service recognize; train.py --dry-run
Not-tested: live uvicorn deployment; external dataset downloads; ANN-backed production indexing
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2 {
3 "name": "FMA",
4 "source_url": "https://github.com/mdeff/fma",
5 "license": "Track-dependent / metadata CC BY 4.0; verify per subset",
6 "commercial_use": "review_required",
7 "notes": "Good first realistic MIR baseline"
8 },
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10 "name": "MTG-Jamendo",
11 "source_url": "https://github.com/MTG/mtg-jamendo-dataset",
12 "license": "Creative Commons source tracks; verify exact subset terms",
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14 "notes": "Good retrieval/tagging corpus with scripts"
15 },
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17 "name": "CCMusic",
18 "source_url": "https://ccmusic-database.github.io/en/database/ccm.html",
19 "license": "varies / application may be required",
20 "commercial_use": "review_required",
21 "notes": "Useful Chinese MIR source, needs permission review"
22 },
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24 "name": "ModelScope-music",
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26 "license": "varies by dataset",
27 "commercial_use": "deny_until_whitelisted",
28 "notes": "Discovery surface only until per-dataset review is complete"
29 }
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2 "dataset": "modelscope_music",
3 "root": "data/external/modelscope_music",
4 "status": "initialized",
5 "next_steps": [
6 "download raw audio according to upstream license terms",
7 "convert to catalog/query manifests",
8 "record license evidence before training"
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