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✖ Invalid option: expected one of "prompt_template"|"system_message"|"user_message"|"chain_of_thought"|"use_tools"|"generate"|"self_critique"|"multiple_choice"
→ at tasks[0].solvers[0].name
✖ Invalid option: expected one of "includes"|"match"|"pattern"|"answer"|"exact"|"f1"|"model_graded_qa"|"model_graded_fact"|"choice"
→ at tasks[0].scorers[0].name
| name: DFADD | |
| description: > | |
| DFADD (The Diffusion and Flow-Matching Based Audio Deepfake Dataset, arXiv | |
| 2409.08731) — VCTK-derived anti-spoofing set targeting modern diffusion / | |
| flow-matching TTS. Eval (test) split only. Binary classification: bonafide | |
| (genuine VCTK) vs. spoof (Grad-TTS / Matcha-TTS / NaturalSpeech 2 / PFlow-TTS | |
| / StyleTTS 2). EER over the full test set (3,755 utterances: 755 bonafide / | |
| 3,000 spoof). | |
| 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 | |