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BoLT Prompt Optimization Data

BoLT Prompt Optimization — Tabular Dataset For prompt optimization tasks in BoLT, an accessible benchmark for black-box optimization on LLM tasks. Dataset Description The dataset covers 5,014 evaluated instructions. Each row is a candidate system-prompt instruction paired with its empirically measured MATH-500 (4-shot, non-thinking mode) scores. Evaluation details: Model: Qwen/Qwen3-14B Task: minerva_math500 (4-shot) (from lm-eval library) System prompt:… See the full description on the dataset page: https://huggingface.co/datasets/chewwt/po_qwen14b_tabular_data.

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