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\n\t\n\t\t\n\t\n\t\n\t\tUnveiling LMSYS-Chat-1M: A Million Real-World LLM Conversations Explored\n\t\n

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Papers

arxiv:2309.11998

LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Published on Sep 21, 2023

· Submitted by

AK on Sep 22, 2023

Upvote

Authors:

Lianmin Zheng ,

Wei-Lin Chiang ,

Ying Sheng ,

Tianle Li ,

Zhanghao Wu ,

Yonghao Zhuang ,

Zhuohan Li ,

Eric. P Xing ,

Joseph E. Gonzalez ,

Hao Zhang

Abstract

A large-scale dataset of one million real-world conversations with state-of-the-art LLMs provides a variety of applications including content moderation, safety benchmarking, and instruction-following model training.

AI-generated summary

Studying how people interact with large language models (LLMs) in real-world scenarios is increasingly important due to their widespread use in various applications. In this paper, we introduce LMSYS-Chat-1M, a large-scale dataset containing one million real-world conversations with 25 state-of-the-art LLMs. This dataset is collected from 210K unique IP addresses in the wild on our Vicuna demo and Chatbot Arena website. We offer an overview of the dataset's content, including its curation process, basic statistics, and topic distribution, highlighting its diversity, originality, and scale. We demonstrate its versatility through four use cases: developing content moderation models that perform similarly to GPT-4, building a safety benchmark, training instruction-following models that perform similarly to Vicuna, and creating challenging benchmark questions. We believe that this dataset will serve as a valuable resource for understanding and advancing LLM capabilities. The dataset is publicly available at https://huggingface.co/datasets/lmsys/lmsys-chat-1m.