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RAGSummData

The dataset used in the paper is a collection of dialogues and prompts for training a model to perform retrieval-augmented generation (RAG) based summarization. The dataset is designed to test the robustness of large language models (LLMs) in various scenarios.

Data and Resources

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Cite this as

Shengjie Liu, Jing Wu, Jingyuan Bao, Wenyi Wang, Naira Hovakimyan, Christopher G Healey (2025). Dataset: RAGSummData. https://doi.org/10.57702/8qryqwot

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Additional Info

Field	Value
Created	January 3, 2025
Last update	January 3, 2025
Defined In	https://doi.org/10.48550/arXiv.2403.19889
Author	Shengjie Liu
More Authors	Jing Wu Jingyuan Bao Wenyi Wang Naira Hovakimyan Christopher G Healey
Homepage	https://huggingface.co/datasets/zycjlsj123/ragsummdata