paperbot · PL 论文追踪

全部论文 待读 收藏

P2 GPTZoo: A Large-scale Dataset of GPTs for the Research Community

GPTZoo:面向研究社区的大规模 GPTs 数据集
ASE Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering2024匹配度 3/10 · 该论文发布的是 GPT Store 中大量 GPT 实例的元数据、指令和知识文件数据集,可作为研究真实 LLM 应用/Agent 配置的语料,但与用户核心方向(程序静态分析、形式化验证、浮点程序分析、贝叶斯程序分析及其与 LLM 的交叉)没有直接关联,论文本身也不涉及对 Agentic 程序的静态分析或 LLM 改进程序分析。引用 0 inbox
Xinyi Hou, Yanjie Zhao, Shenao Wang, Haoyu Wang
crossref: 2026-09-12

AI 速览

一句话:发布含 730,420 个 GPT 实例的大规模数据集,提供元数据、指令、知识文件和 CLI 检索工具。

随着大语言模型快速发展,GPT Store 上的定制 GPT 已成为面向特定领域与任务的重要技术。为支持对 GPT 的学术研究,作者构建了 GPTZoo 数据集,包含 730,420 个 GPT 实例。每个实例均带有由 21 个属性描述的丰富元数据,以及开发过程中使用的 instructions、knowledge files 和第三方服务。GPTZoo 旨在为研究者提供全面且易于获取的资源,以研究 GPT 的真实应用、性能与潜力。为便于高效检索与分析,作者还开发了支持关键词搜索的自动化命令行界面(CLI)。该数据集将持续更新,并公开数据集及相关工具,以促进开放研究与创新。

问题
缺乏大规模、系统化的 GPT 实例资源,阻碍了对定制 GPT 真实应用、性能与潜力的学术研究。
方法
构建 GPTZoo 数据集,采集 730,420 个 GPT 实例,记录 21 个属性的元数据、instructions、knowledge files 与第三方服务,并开发支持关键词搜索的 CLI。
评估
摘要未报告传统实验评估;主要通过数据集规模、元数据丰富度与配套 CLI 的检索能力说明其作为研究资源的可用性,并计划持续更新与公开访问。
原文摘要(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 and innovation, the GPTZoo dataset will undergo continuous updates, and we are granting researchers public access to GPTZoo and its associated tools.

链接与引用

DOI 原文 ·

BibTeX
@inproceedings{paperbot8364,
  title = {GPTZoo: A Large-scale Dataset of GPTs for the Research Community},
  author = {Xinyi Hou and Yanjie Zhao and Shenao Wang and Haoyu Wang},
  booktitle = {ASE},
  year = {2024},
  doi = {10.1145/3691620.3695309}
}