GPTRC: A large-scale dataset for evaluating question-answering capabilities and limitations of large language modelsMendeley Data

A Generative Pre-Trained Transformer (GPT) Responses Corpus (GPTRC), a large-scale dataset designed to facilitate comprehensive analysis of ChatGPT’s performance was presented in this paper. The dataset consists of 50,134 question-response pairs generated by GPT-3.5 Turbo model. It covers broad rang...

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Bibliografiska uppgifter

Huvudupphov:	Akarsh Tripathi, Tanisha Gupta, Ashutosh Kumar Dubey, Ravita Chahar
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	Elsevier 2025-12-01
Serie:	Data in Brief
Ämnen:	Large language models (LLMs) ChatGPT-3.5 Turbo Question-answering dataset Natural language processing (NLP) Benchmarking AI models Generative AI evaluation
Länkar:	http://www.sciencedirect.com/science/article/pii/S2352340925010121
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