Datasets:
Modalities:
Text
Formats:
json
Languages:
English
Size:
< 1K
Tags:
functional-metacognition
self-correction
reasoning
benchmark
error-recovery
declarative-procedural-gap
DOI:
License:
Create eval.yaml
Browse files
eval.yaml
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name: FINAL Bench
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description: >
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Measuring Functional Metacognitive Reasoning in Large Language Models.
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100 expert-level tasks with hidden cognitive traps across 15 domains
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and 8 TICOS metacognitive types.
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evaluation_framework: final-bench
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tasks:
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- id: metacognitive
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config: default
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split: train
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