name: ADD22_eval_31
description: >
  ADD 2022 Track 3 (Audio Fake Game / FG), Round 1 evaluation partition
  (arXiv 2202.08433). Binary anti-spoofing: 20,776 bonafide (genuine) vs 92,085
  spoof (fake), 112,861 utterances total. EER computed over all utterances.
  LABELS ONLY: the CC BY-NC-ND 4.0 audio is not redistributed here; only
  data/labels.parquet (utterance_id -> label, 0=bonafide / 1=spoof) is shipped,
  which is all the arena needs to reproduce a submission's scores. utterance_id
  is the audio filename stem, e.g. "ADD_E3_00000000".
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