Datasets:
Add MMS-1B-AntiDeepfake-NDA submission for PyAra
#21
by korallll - opened
No description provided.
speech-spoof-bench ci verify-pr — ✅ all checks passed
| Submission | Schema | sha256 | EER match | Notes |
|---|---|---|---|---|
submissions/mms-1b-antideepfake-nda.yaml |
✅ | ✅ | ✅ | ok |
Verified ✅ (scoring). Merging MMS-1B-AntiDeepfake-NDA.
korallll changed pull request status to merged
speech-spoof-bench — submission merged ✅
System mms-1b-antideepfake-nda is now live on the Arena.
To display a backlink badge on your model page, take the two steps below.
1. Add result.yaml to your model repo
schema_version: 1
system:
name: MMS-1B-AntiDeepfake-NDA
slug: mms-1b-antideepfake-nda
paper:
arxiv_id: '2506.21090'
dataset:
id: SpeechAntiSpoofingBenchmarks/PyAra
revision: 40167badd6d8a289f02054761ee5411f49227b87
split: test
scores:
eer_percent: 0.46179648192207184
n_trials: 201778
n_skipped: 0
arena:
url: https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena
system_url: https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=mms-1b-antideepfake-nda
artifact:
scores_url: https://huggingface.co/SpeechAntiSpoofingBenchmarks/MMS-1B-AntiDeepfake-NDA/resolve/5a091e1b8e171adc556d3727980bea96169cc409/.eval_results/SpeechAntiSpoofingBenchmarks/PyAra/scores.txt
Upload it with:
huggingface-cli upload <your-model-repo> result.yaml \
.eval_results/SpeechAntiSpoofingBenchmarks/PyAra/result.yaml
2. Add the badge lines to your README
[](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=mms-1b-antideepfake-nda)
[](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=mms-1b-antideepfake-nda)
[](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=mms-1b-antideepfake-nda)
sha=6a07bb697a62e44dca2f9440f9b199517196b3f0 path=submissions/mms-1b-antideepfake-nda.yaml