Update eval.yaml

eval.yaml

@@ -1,11 +1,22 @@
 name: FINAL Bench
 description: >
-  Measuring Functional Metacognitive Reasoning in Large Language Models.
-  100 expert-level tasks with hidden cognitive traps across 15 domains
-  and 8 TICOS metacognitive types.
-evaluation_framework: final-bench
+  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: metacognitive
+  - id: default
     config: default
-    split: train
+    split: train
+
+field_spec:
+  input: prompt
+  target: hidden_trap
+
+solvers:
+  - name: generate
+
+scorers:
+  - name: model_graded_qa