Can Large Language Models Revolutionalize Open Government Data Portals? A Case of Using ChatGPT in statistics.gov.scot

Marios Mamalis, Evangelos Kalampokis, Areti Karamanou, Petros Brimos and Konstantinos Tarabanis

No 9b35z, OSF Preprints from Center for Open Science

Abstract: Large language models possess tremendous natural language understanding and generation abilities. However, they often lack the ability to discern between fact and fiction, leading to factually incorrect responses. Open Government Data are repositories of, often times linked, information that is freely available to everyone. By combining these two technologies in a proof of concept designed application utilizing the GPT3.5 OpenAI model and the Scottish open statistics portal, we show that not only is it possible to augment the large language model's factuality of responses, but also propose a novel way to effectively access and retrieve statistical information from the data portal just through natural language querying. We anticipate that this paper will trigger a discussion regarding the transformation of Open Government Portals through large language models.

Date: 2023-10-24
New Economics Papers: this item is included in nep-ain and nep-big
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Persistent link: https://EconPapers.repec.org/RePEc:osf:osfxxx:9b35z

DOI: 10.31219/osf.io/9b35z

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