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

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

DOI retrieved: January 3, 2025

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