Datasets:
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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: HABLA | |
| description: > | |
| HABLA — the first Spanish voice anti-spoofing dataset (Tamayo Flórez et al., | |
| Interspeech 2023). Binary classification: bonafide (genuine Latin-American | |
| Spanish speech, five accents) vs. spoof (CycleGAN / Diff / StarGAN voice | |
| conversion, TTS, and TTS->VC cascades). EER computed on the full protocol | |
| (80,816 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 | |