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  **EMS-Knowledge** is a lightweight, retrieval-friendly dataset distilled from
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  Emergency Medical Services (EMS) reference materials.
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  Each row contains a short section of text paired with its **file name**, **topic**, and **section title**,
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- making it easy to build search / RAG pipelines, create study aids, or ground QA systems.
 
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  This repository includes:
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  1. A **tabular split** (single split named `train`) with the following columns:
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  ---
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  ## Quick Start
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  ```python
 
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  **EMS-Knowledge** is a lightweight, retrieval-friendly dataset distilled from
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  Emergency Medical Services (EMS) reference materials.
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  Each row contains a short section of text paired with its **file name**, **topic**, and **section title**,
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+ making it easy to build search / RAG pipelines, create study aids, or ground QA systems. See more on our [project page](https://uva-dsa.github.io/EMSQA/).
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+
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  This repository includes:
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  1. A **tabular split** (single split named `train`) with the following columns:
 
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  ---
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+ ## Citation
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+
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+ If you use EMS-MCQA in your work, please cite:
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+
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+ ```bibtex
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+ @misc{ge2025expertguidedpromptingretrievalaugmentedgeneration,
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+ title = {Expert-Guided Prompting and Retrieval-Augmented Generation for Emergency Medical Service Question Answering},
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+ author = {Xueren Ge and Sahil Murtaza and Anthony Cortez and Homa Alemzadeh},
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+ year = {2025},
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+ eprint = {2511.10900},
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+ archivePrefix = {arXiv},
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+ primaryClass = {cs.CL},
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+ url = {https://arxiv.org/abs/2511.10900},
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+ }
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+ ```
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+
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+ ---
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  ## Quick Start
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  ```python