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Dataset · Hugging Face

hazyresearch/MMLU_with_Llama_3.1_8B_Instruct_v1

MMLU with Llama-3.1-8B-Instruct This dataset contains multiple-choice questions from the MMLU benchmark with 100 candidate responses generated by Llama-3.1-8B-Instruct for each problem. Each response has been evaluated for correctness using a mixture of GPT-4o-mini and procedural Python code to robustly parse different answer formats, and scored by multiple reward models (scalar values) and LM judges (boolean verdicts). Dataset Structure Split: Single split named… See the full description on the dataset page: https://huggingface.co/datasets/hazyresearch/MMLU_with_Llama_3.1_8B_Instruct_v1.

Author / organizationhazyresearch
License (as declared)mit
Downloads211 (as reported by Hugging Face)
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Created29 May 2025
Last updated at source24 June 2025
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  • 16 Oct 2026 Description: MMLU with Llama-3.1-8B-Instruct This dataset contains multiple-choice questions from the MMLU benchmark with 100 candidate responses generated by Llama-3.1-8B-Instruct for each problem. Each response has been evaluated for correctness using → MMLU with Llama-3.1-8B-Instruct This dataset contains multiple-choice questions from the MMLU benchmark with 100 candidate responses generated by Llama-3.1-8B-Instruct for each problem. Each response has been evaluated for correctness using

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