GPTZoo: A Large-scale Dataset of GPTs for the Research Community

Fuente: arXiv
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Autori principali: Hou, Xinyi, Zhao, Yanjie, Wang, Shenao, Wang, Haoyu
Natura: Preprint
Pubblicazione: 2024
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author Hou, Xinyi
Zhao, Yanjie
Wang, Shenao
Wang, Haoyu
author_facet Hou, Xinyi
Zhao, Yanjie
Wang, Shenao
Wang, Haoyu
contents The rapid advancements in Large Language Models (LLMs) have revolutionized natural language processing, with GPTs, customized versions of ChatGPT available on the GPT Store, emerging as a prominent technology for specific domains and tasks. To support academic research on GPTs, we introduce GPTZoo, a large-scale dataset comprising 730,420 GPT instances. Each instance includes rich metadata with 21 attributes describing its characteristics, as well as instructions, knowledge files, and third-party services utilized during its development. GPTZoo aims to provide researchers with a comprehensive and readily available resource to study the real-world applications, performance, and potential of GPTs. To facilitate efficient retrieval and analysis of GPTs, we also developed an automated command-line interface (CLI) that supports keyword-based searching of the dataset. To promote open research and innovation, the GPTZoo dataset will undergo continuous updates, and we are granting researchers public access to GPTZoo and its associated tools.
format Preprint
id arxiv_https___arxiv_org_abs_2405_15630
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle GPTZoo: A Large-scale Dataset of GPTs for the Research Community
Hou, Xinyi
Zhao, Yanjie
Wang, Shenao
Wang, Haoyu
Software Engineering
The rapid advancements in Large Language Models (LLMs) have revolutionized natural language processing, with GPTs, customized versions of ChatGPT available on the GPT Store, emerging as a prominent technology for specific domains and tasks. To support academic research on GPTs, we introduce GPTZoo, a large-scale dataset comprising 730,420 GPT instances. Each instance includes rich metadata with 21 attributes describing its characteristics, as well as instructions, knowledge files, and third-party services utilized during its development. GPTZoo aims to provide researchers with a comprehensive and readily available resource to study the real-world applications, performance, and potential of GPTs. To facilitate efficient retrieval and analysis of GPTs, we also developed an automated command-line interface (CLI) that supports keyword-based searching of the dataset. To promote open research and innovation, the GPTZoo dataset will undergo continuous updates, and we are granting researchers public access to GPTZoo and its associated tools.
title GPTZoo: A Large-scale Dataset of GPTs for the Research Community
topic Software Engineering
url https://arxiv.org/abs/2405.15630