Dataset · Hugging Face

hazyresearch/GPQA_with_Llama_3.1_70B_Instruct_v1

Name: GPQA_with_Llama_3.1_70B_Instruct_v1
Creator: hazyresearch
License: mit
Keywords: license:mit, size_categories:n<1K, format:parquet, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars, arxiv:2506.18203, region:us

GPQA with Llama-3.1-70B-Instruct This dataset contains 646 graduate-level science questions from the GPQA benchmark with 100 candidate responses generated by Llama-3.1-70B-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:… See the full description on the dataset page: https://huggingface.co/datasets/hazyresearch/GPQA_with_Llama_3.1_70B_Instruct_v1.

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Author / organization	hazyresearch
License (as declared)	mit
Downloads	462 (as reported by Hugging Face)
Likes	0
Created	29 May 2025
Last updated at source	24 June 2025

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16 Oct 2026 Description: GPQA with Llama-3.1-70B-Instruct This dataset contains 646 graduate-level science questions from the GPQA benchmark with 100 candidate responses generated by Llama-3.1-70B-Instruct for each problem. Each response has been evaluated for corr → GPQA with Llama-3.1-70B-Instruct This dataset contains 646 graduate-level science questions from the GPQA benchmark with 100 candidate responses generated by Llama-3.1-70B-Instruct for each problem. Each response has been evaluated for corr

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