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Download eval.yaml from SpeechAntiSpoofingBenchmarks/DECRO: direct link, hf CLI and curl.
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- Download file 616 Bytes
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https://huggingface.co/datasets/SpeechAntiSpoofingBenchmarks/DECRO/resolve/refs%2Fpr%2F13/eval.yaml
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hf download hf://datasets/SpeechAntiSpoofingBenchmarks/DECRO@refs/pr/13/eval.yaml
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curl -L -o eval.yaml https://huggingface.co/datasets/SpeechAntiSpoofingBenchmarks/DECRO/resolve/refs%2Fpr%2F13/eval.yaml
616 Bytes
| name: DECRO | |
| description: > | |
| Evaluation partition of the DECRO (DEepfake CROss-lingual) dataset, English + | |
| Chinese subsets combined. Binary classification: bonafide vs. spoof, where the | |
| two languages share the same set of TTS/VC synthesis algorithms. EER computed | |
| on the combined eval protocol (37,314 utterances). | |
| evaluation_framework: inspect-ai | |
| tasks: | |
| - id: antispoofing_eval | |
| config: default | |
| split: test | |
| field_spec: | |
| input: audio | |
| target: label | |
| solvers: | |
| - name: speech_spoof_bench_solver | |
| scorers: | |
| - name: speech_spoof_scorer | |
| metrics: | |
| - eer_percent | |