Datasets:
YAML Metadata Error:Invalid content in eval.yaml.
Check out the documentation for more information.
Show details
✖ Invalid input
Download eval.yaml from SpeechAntiSpoofingBenchmarks/PyAra: direct link, hf CLI and curl.
- Browser
- Download file 645 Bytes
-
https://huggingface.co/datasets/SpeechAntiSpoofingBenchmarks/PyAra/resolve/refs%2Fpr%2F13/eval.yaml
- Command line
-
hf download hf://datasets/SpeechAntiSpoofingBenchmarks/PyAra@refs/pr/13/eval.yaml
-
curl -L -o eval.yaml https://huggingface.co/datasets/SpeechAntiSpoofingBenchmarks/PyAra/resolve/refs%2Fpr%2F13/eval.yaml
645 Bytes
| name: PyAra | |
| description: > | |
| PyAra — Russian-language audio anti-spoofing dataset | |
| (https://www.kaggle.com/datasets/alep079/pyara). Binary classification: | |
| bonafide (genuine Russian recordings) vs. spoof (synthetic/converted speech | |
| from 5 algorithms alg_1..alg_5). EER over the full set (201,778 utterances: | |
| 73,583 bonafide / 128,195 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 | |