This dataset has been meticulously curated to evaluate the efficiency of Retrieval-Augmented Generation (RAG) pipelines in both retrieval and generative accuracy, with a particular focus on scenarios involving overlapping contexts. The dataset comprises two primary components: Motor data and Employee data. The Motor dataset includes master data of various motor models along with their corresponding manuals, linked by the motor's model name. Similarly, the Employee dataset encompasses employee master data and associated policy documents, linked by department.

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[1] Pruthvi Raj Venkatesh, Radha Krishna P, "Dataset on RAG Pipeline Evaluation for Retrieval and Generative Response Accuracy Testing", IEEE Dataport, 2024. [Online]. Available: http://dx.doi.org/10.21227/hg2s-f350. Accessed: Oct. 06, 2024.
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url = {http://dx.doi.org/10.21227/hg2s-f350},
author = {Pruthvi Raj Venkatesh; Radha Krishna P },
publisher = {IEEE Dataport},
title = {Dataset on RAG Pipeline Evaluation for Retrieval and Generative Response Accuracy Testing},
year = {2024} }
TY - DATA
T1 - Dataset on RAG Pipeline Evaluation for Retrieval and Generative Response Accuracy Testing
AU - Pruthvi Raj Venkatesh; Radha Krishna P
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Pruthvi Raj Venkatesh, Radha Krishna P. (2024). Dataset on RAG Pipeline Evaluation for Retrieval and Generative Response Accuracy Testing. IEEE Dataport. http://dx.doi.org/10.21227/hg2s-f350
Pruthvi Raj Venkatesh, Radha Krishna P, 2024. Dataset on RAG Pipeline Evaluation for Retrieval and Generative Response Accuracy Testing. Available at: http://dx.doi.org/10.21227/hg2s-f350.
Pruthvi Raj Venkatesh, Radha Krishna P. (2024). "Dataset on RAG Pipeline Evaluation for Retrieval and Generative Response Accuracy Testing." Web.
1. Pruthvi Raj Venkatesh, Radha Krishna P. Dataset on RAG Pipeline Evaluation for Retrieval and Generative Response Accuracy Testing [Internet]. IEEE Dataport; 2024. Available from : http://dx.doi.org/10.21227/hg2s-f350
Pruthvi Raj Venkatesh, Radha Krishna P. "Dataset on RAG Pipeline Evaluation for Retrieval and Generative Response Accuracy Testing." doi: 10.21227/hg2s-f350