eval.yaml

name: FINAL Bench
description: >
  FINAL Bench (Frontier Intelligence Nexus for AGI-Level Verification) is the first
  benchmark for measuring functional metacognition in LLMs — the ability to detect
  and correct one's own reasoning errors. 100 tasks across 15 domains, 8 TICOS
  metacognitive types, and 3 difficulty grades. 5-axis rubric separating declarative
  metacognition (MA) from procedural error recovery (ER).

tasks:
  - id: default
    config: default
    split: train

field_spec:
  input: prompt
  target: hidden_trap

solvers:
  - name: generate

scorers:
  - name: model_graded_qa