eval.yaml

name: Evasion Bench
description: >
  vasionBench is a benchmark dataset for detecting evasive answers in earnings
  call Q&A sessions. The task is to classify how directly corporate management
  addresses questions from financial analysts.
tasks:
  - id: evasion_bench
    config: default
    split: train

    epochs: 1

    shuffle_choices: true

    field_spec:
      input: question
      target: "eva4b_label"
      choices: ["direct", "intermediate", "fully_evasive"]

    solvers:
      - name: multiple_choice

    scorers:
      - name: choice