ops: DotCheck Apache-2.0 open heads + card
Browse files- README.md +11 -10
- dasheng_base_linear_head_audio_h3e.npz +3 -0
README.md
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@@ -27,15 +27,15 @@ model-index:
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metrics:
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- name: mean_P_AI_real
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type: mean_score_real
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value: 0.
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- name: mean_P_AI_ai
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type: mean_score_ai
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value: 0.
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- name: balanced_accuracy
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type: balanced_accuracy
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value: 0.
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source:
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name:
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url: https://dotcheck.ai/docs
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---
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| Hub id | `DotCheck/helmholtz-audio-v3` |
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| Wire id | `inhouse-audio@3` |
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| Label | Helmholtz |
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| Artifact | `
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| Backbone | [`mispeech/dasheng-base`](https://huggingface.co/mispeech/dasheng-base) (Apache-2.0) |
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| Protocol | 4 s / center crop / up to 2 windows / max aggregate (serve may single-pass prewindowed clips) |
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| Output | `p ∈ [0,1]` — estimated P(AI) |
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| Split | Content |
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|-------|---------|
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| Fit reals | LibriTTS + FSD50K (concat, no loop-tile) |
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| Fit AI | parler-mini / melo-en / dasheng-audiogen + fal train (Kokoro / Eleven Turbo / mixes) +
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| Holdout speech | CodecFake / DFADD (sha-disjoint) |
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| Holdout music/SFX | AudioGen odd-seed partition |
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| Holdout fal | prompt-id holdout (same gens, disjoint sha) |
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Evidence: `
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## Evaluation
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| Metric | Target | Measured |
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|--------|--------|---------:|
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| mean P(AI) \| real | ≤ 0.12 | **0.
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| mean P(AI) \| AI | ≥ 0.85 | **0.
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| bal_acc @ thr | ≥ 0.90 | **0.
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## Intended use
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metrics:
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- name: mean_P_AI_real
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type: mean_score_real
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value: 0.018
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- name: mean_P_AI_ai
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type: mean_score_ai
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value: 0.989
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- name: balanced_accuracy
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type: balanced_accuracy
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value: 0.995
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source:
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name: audio_gates_audio_h3e / Data.json
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url: https://dotcheck.ai/docs
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---
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| Hub id | `DotCheck/helmholtz-audio-v3` |
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| Wire id | `inhouse-audio@3` |
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| Label | Helmholtz |
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| Artifact | `dasheng_base_linear_head_audio_h3e.npz` |
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| Backbone | [`mispeech/dasheng-base`](https://huggingface.co/mispeech/dasheng-base) (Apache-2.0) |
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| Protocol | 4 s / center crop / up to 2 windows / max aggregate (serve may single-pass prewindowed clips) |
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| Output | `p ∈ [0,1]` — estimated P(AI) |
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| Split | Content |
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|-------|---------|
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| Fit reals | LibriTTS + FSD50K (concat, no loop-tile) |
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| Fit AI | parler-mini / melo-en / dasheng-audiogen + fal train (Kokoro / Eleven Turbo / mixes) + Imagine in the linear mix |
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| Holdout speech | CodecFake / DFADD (sha-disjoint) |
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| Holdout music/SFX | AudioGen odd-seed partition |
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| Holdout fal | prompt-id holdout (same gens, disjoint sha) |
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| Holdout Imagine | owned exam (Layer A); not a separate public claim row |
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Evidence: `audio_gates_audio_h3e.json` · `AUDIO_GATES_OK`. Public floats are the overall holdout (`claims.audio`).
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## Evaluation
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| Metric | Target | Measured |
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|--------|--------|---------:|
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| mean P(AI) \| real | ≤ 0.12 | **0.018** |
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| mean P(AI) \| AI | ≥ 0.85 | **0.989** |
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| bal_acc @ thr | ≥ 0.90 | **0.995** |
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## Intended use
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dasheng_base_linear_head_audio_h3e.npz
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version https://git-lfs.github.com/spec/v1
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oid sha256:caf141a5d82c589d93bdaec5932870e40ca343a39ccbe6d6d6e273e4a81348e3
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size 7108
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