I conducted this experiment to investigate the impact of prompt structure and optimization on LLM performance, specifically testing whether quality and organization matter more than raw prompt length for complex technical tasks.
For specialized technical tasks, does prompt structure and optimization have a greater impact on output quality than raw prompt length alone?
I compared three distinct prompting approaches using Gemini 2.5 Lite… See the full description on the dataset page:
https://huggingface.co/datasets/danielrosehill/Long-Prompt-Experiment.
