Compilation and linguistic analysis of 129 LLM prompt datasets identifies distinguishing features, with syntactic distributions enabling high-accuracy lightweight routing and quality prediction in three downstream tasks.
Collected from diverse open-source sources, it features semantically deduplicated instructions spanning text, code, and math domains
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Large Language Model Prompt Datasets: An In-depth Analysis and Insights
Compilation and linguistic analysis of 129 LLM prompt datasets identifies distinguishing features, with syntactic distributions enabling high-accuracy lightweight routing and quality prediction in three downstream tasks.