GPTZoo: A Large-scale Dataset of GPTs for the Research Community
Xinyi Hou, Yanjie Zhao, Shenao Wang, Haoyu Wang

TL;DR
GPTZoo is a large-scale, publicly accessible dataset of 730,420 GPT instances with detailed metadata, designed to support research on GPT applications, performance, and development, complemented by tools for efficient data retrieval.
Contribution
This paper introduces GPTZoo, the first comprehensive dataset of GPT instances with rich metadata, enabling systematic research and analysis of GPT models in various domains.
Findings
Provides extensive metadata for 730,420 GPT instances
Includes tools for keyword-based dataset search
Supports ongoing updates and open research
Abstract
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…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsScientific Computing and Data Management · Machine Learning in Healthcare · Machine Learning and Data Classification
