| --- |
| license: cc-by-nc-4.0 |
| task_categories: |
| - audio-classification |
| language: |
| - en |
| pretty_name: ArtifactBench v2 |
| size_categories: |
| - n<1K |
| --- |
| |
| # ArtifactBench v2 |
|
|
| ArtifactBench v2 is a metadata-first, lineage-aware evaluation suite for |
| AI-generated music detectors. The primary frozen protocol contains 828 tracks: |
| 605 AI-generated and 223 real. It has 166 calibration, 83 validation, and 579 |
| sealed-test rows. |
|
|
| ## What is released |
|
|
| - path- and title-free track IDs derived from content digests; |
| - source and generator strata; |
| - SHA-256 content identities and lineage IDs; |
| - frozen calibration, validation, and test assignments; |
| - retrieval references where redistribution is appropriate; |
| - version-pinned runner code, raw model probabilities, structured failures, |
| aggregate tables, and confidence intervals. |
|
|
| No new audio bundle is released with v2. Source data must be acquired from its |
| upstream provider under that provider's license and terms. Suno-, Udio-, and |
| YouTube-referenced audio is not redistributed. |
|
|
| ## Intended use |
|
|
| The suite is intended for detector comparison, reproducibility checks, source- |
| shift analysis, and research on evaluation protocol. It is not evidence of |
| authorship, copyright status, fraud, or the degree of AI assistance in a work. |
|
|
| ## Protocol |
|
|
| Thresholds are selected on calibration data only by maximizing TPR subject to |
| FPR no greater than 5%. Validation is diagnostic and cannot change a threshold. |
| The sealed test is evaluated once. Results include AUROC, AUPRC, F1, balanced |
| accuracy, TPR/FPR, per-source rates, lineage-bootstrap intervals, and inference |
| coverage. Pairwise comparisons use the common successfully scored track-ID set. |
| The split unit is `lineage_id`, stratified by source with the published salt |
| `artifactbench-v2-primary-20260920`; `split_rank_sha256` allows the frozen |
| assignment to be verified without exposing the private lineage key. |
|
|
| ArtifactNet evaluates seven evenly spaced four-second chunks. The declared v2 |
| policy reports the median of finite scores when at least four chunks are valid; |
| otherwise the track is an inference failure. A strict any-non-finite sensitivity |
| result and the chunk-level failure log are included in the result bundle. |
|
|
| ## Frozen result snapshot |
|
|
| On the 562-track common-success test intersection, the calibration-selected |
| results are: |
|
|
| | Model | AUROC | AUPRC | F1 | Balanced accuracy | TPR | FPR | |
| |---|---:|---:|---:|---:|---:|---:| |
| | ArtifactNet v9.4 | 0.982 | 0.994 | 0.923 | 0.918 | 0.865 | 0.029 | |
| | Deezer ISMIR | 0.761 | 0.925 | 0.758 | 0.776 | 0.624 | 0.072 | |
| | SpecTTTra alpha | 0.299 | 0.688 | 0.159 | 0.526 | 0.087 | 0.036 | |
| | CLAM | 0.284 | 0.647 | 0.000 | 0.500 | 0.000 | 0.000 | |
|
|
| CLAM's calibration-selected threshold is the next representable value above |
| 1.0 because lower thresholds cannot satisfy the 5% calibration-FPR constraint; |
| its native 0.5 threshold has TPR 0.889 and FPR 0.942 on the same intersection. |
| This degenerate operating point must therefore be read together with AUROC and |
| native-threshold results. ArtifactNet scores 562 of 579 sealed-test attempts; |
| the other three models score all 579. Treating every ArtifactNet failure as an |
| adversarial class error gives balanced accuracy 0.865. Exact values, bootstrap |
| intervals, raw probabilities, and structured failures are in |
| `results/frozen_protocol_metrics.json`. |
|
|
| ## Evaluated baselines |
|
|
| - ArtifactNet v9.4 ONNX revision `e915f0dc5962a57536bbe1f78b66adcb48dfae4c`; |
| - SpecTTTra alpha 120-second revision `094b32a5545098a71c113f6ae9d5c55310564268`; |
| - Deezer ISMIR 2025 research detector revision |
| `d2180598fed79e3f917e8050a00439982466e5c6`; |
| - CLAM repository revision `74e3a3277e1dfe9ae9ed433b6e8c51d74e9e1d9b`, |
| with checkpoint and encoder digests recorded in the run manifest. |
|
|
| The frozen inference runner revision used for this snapshot is |
| `55444b33b1725e6f69905716b02e6a881d7c8a07`. Reproducible analysis, independent |
| metric verification, public-result sanitation, and release-audit tooling were |
| added in release-candidate revision |
| `1a4ce7ffae7513dc6ca97380d57c983ee56028ac`. |
|
|
| ## Limitations |
|
|
| The cohort is modest and concentrated in selected generator families. Some |
| platform version labels are incomplete. Public training lineage cannot resolve |
| all CLAM real-track identities. Cryptographic hashes do not detect every |
| perceptual derivative. The binary task does not cover hybrid human--AI production. |
|
|
| ## Licensing |
|
|
| Benchmark-authored metadata and result files are released under CC BY-NC 4.0. |
| Runner code is released separately under the repository's MIT License. These |
| licenses do not grant rights to upstream audio, model weights, platform content, |
| or third-party metadata. See `LICENSES.md` and `fma_track_licenses.json` before |
| use. |
|
|
