PromptAmbiguityDataset is a collection of ambiguous natural language prompts designed to evaluate and improve prompt disambiguation techniques in AI systems. It spans multiple domains, including coding, data analysis, and creative writing, with annotated ambiguities and their corresponding refinements. This dataset supports research on prompt engineering, iterative clarification, and language model interpretability.
- Diverse Domains: Covers coding, data analysis, and creative writing.
- Annotated Ambiguities: Each prompt includes identified ambiguities and clarifications.
- Benchmarking & Research: Useful for evaluating prompt disambiguation techniques in AI models.
If you use this dataset in your research, please cite the following work:
F. Marozzo, "Iterative Resolution of Prompt Ambiguities Using a Progressive Cutting-Search Approach," 2025.
BibTeX citation:
@article{Marozzo2025PromptAmbiguity,
author = {Fabrizio Marozzo},
title = {Iterative Resolution of Prompt Ambiguities Using a Progressive Cutting-Search Approach},
year = {2025}
}