REALM: REAL-World Application of Large Language Models

Dataset Description

• Paper: coming soon

• Dashboard Demo: https://realm-e7682.web.app/

• License: [mit]

• Language(s) (NLP): English

• Point of Contact: Jingwen

Dataset Summary

Large Language Models (LLMs), such as GPT-like models, have transformed industries and everyday life, creating significant societal impact. To better understand their real-world applications, we created the REALM Dataset, a collection of over 93k use cases sourced from Reddit posts and news articles, spanning 2020-06(when GPT was first released) to 2024-12. REALM focuses on two key aspects:

1. How LLMs are being used: Categorizing the wide range of applications, following AI Use Taxonomy: A Human-Centered Approach.

2. Who is using them: Extracting the occupation attributes of current or potential end-users, categorized based on the O*NET classification system.

Updates

2025-2-15: Content Update. Paper submitted to ACL 2025.

Languages

English

Data Fields

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Citation Information

Please consider citing our paper if you find this dataset useful:

 
@misc{cheng2025realm,
  title={REALM: A Dataset of Real-World LLM Use Cases},
  author={Jingwen Cheng and Kshitish Ghate and Wenyue Hua and William Yang Wang and Hong Shen and Fei Fang},
  year={2025},
  archivePrefix={arXiv},
  url={https://arxiv.org/abs/2503.18792}
}