REALM: A Dataset of Real-World LLM Use Cases

Large Language Models (LLMs), such as the GPT series, have driven significant industrial applications, leading to economic and societal transformations. However, a comprehensive understanding of their real-world applications remains limited. To address this, we introduce REALM, a dataset of over 94,000 LLM use cases collected from Reddit and news articles. REALM captures two key dimensions: the diverse applications of LLMs and the demographics of their users. It categorizes LLM applications and explores how users' occupations relate to the types of applications they use. By integrating real-world data, REALM offers insights into LLM adoption across different domains, providing a foundation for future research on their evolving societal roles.

Publication Details

Journal
ArXiv.org
Published
2025-03-24
Primary Topic
Computational and Text Analysis Methods
Type
article
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article

REALM: A Dataset of Real-World LLM Use Cases

ArXiv.org
Computational and Text Analysis Methods
article

REALM: A Dataset of Real-World LLM Use Cases

article en

Abstract

Large Language Models (LLMs), such as the GPT series, have driven significant industrial applications, leading to economic and societal transformations. However, a comprehensive understanding of their real-world applications remains limited. To address this, we introduce REALM, a dataset of over 94,000 LLM use cases collected from Reddit and news articles. REALM captures two key dimensions: the diverse applications of LLMs and the demographics of their users. It categorizes LLM applications and explores how users' occupations relate to the types of applications they use. By integrating real-world data, REALM offers insights into LLM adoption across different domains, providing a foundation for future research on their evolving societal roles.

ArXiv.org
Openalex Percentile: Top 40%
Computational and Text Analysis Methods
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REALM: A Dataset of Real-World LLM Use Cases · ArXiv.org (2025) | TGRS Research Map | TGRS