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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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## 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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This repository includes:
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1. A **tabular split** (single split named `train`) with the following columns:
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## Citation
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If you use EMS-MCQA in your work, please cite:
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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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## Quick Start
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```python
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