datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Metacognitive
FINAL Bench: Functional Metacognitive Reasoning Benchmark
"Not how much AI knows — but whether it knows what it doesn't know, and can fix it."
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Overview
FINAL Bench (Frontier Intelligence Nexus for AGI-Level Verification) is the first comprehensive benchmark for evaluating functional metacognition in Large Language Models (LLMs).
Unlike existing benchmarks (MMLU, HumanEval, GPQA) that measure only final-answer accuracy, FINAL Bench evaluates… See the full description on the dataset page: https://huggingface.co/datasets/FINAL-Bench/Metacognitive.Metacognitive
FINAL Bench: Functional Metacognitive Reasoning Benchmark
"Not how much AI knows — but whether it knows what it doesn't know, and can fix it."
Overview
FINAL Bench (Frontier Intelligence Nexus for AGI-Level Verification) is the first comprehensive benchmark for evaluating functional metacognition in Large Language Models (LLMs).
Unlike existing benchmarks (MMLU, HumanEval, GPQA) that measure only final-answer accuracy, FINAL Bench evaluates the entire pipeline of error… See the full description on the dataset page: https://huggingface.co/datasets/aiqtech/Metacognitive.Metacognitive
FINAL Bench: Functional Metacognitive Reasoning Benchmark
"Not how much AI knows — but whether it knows what it doesn't know, and can fix it."
Overview
FINAL Bench (Frontier Intelligence Nexus for AGI-Level Verification) is the first comprehensive benchmark for evaluating functional metacognition in Large Language Models (LLMs).
Unlike existing benchmarks (MMLU, HumanEval, GPQA) that measure only final-answer accuracy, FINAL Bench evaluates the entire pipeline of error… See the full description on the dataset page: https://huggingface.co/datasets/fantos/Metacognitive.Metacognitive
FINAL Bench: Functional Metacognitive Reasoning Benchmark
"Not how much AI knows — but whether it knows what it doesn't know, and can fix it."
---
Overview
FINAL Bench (Frontier Intelligence Nexus for AGI-Level Verification) is the first comprehensive benchmark for evaluating functional metacognition in Large Language Models (LLMs).
Unlike existing benchmarks (MMLU, HumanEval, GPQA) that measure only final-answer accuracy, FINAL Bench evaluates… See the full description on the dataset page: https://huggingface.co/datasets/gravermistakes/Metacognitive.