README.md

---
language:
- en
license: mit
dataset_info:
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---
# *REALM*: *RE*AL-World *A*pplication of Large *L*anguage *M*odels

## Dataset Description
 
- **Paper:** coming soon

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

- **License:** [mit]

- **Language(s) (NLP):** English

- **Point of Contact:** [Jingwen](chengjw21@gmail.com)

### 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](https://www.nist.gov/publications/ai-use-taxonomy-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](https://www.onetcenter.org/).

### Updates

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




### Languages

English


### Data Fields

- `` (string): 

### Citation Information

Please consider citing [our paper](\\) if you find this dataset useful:
<div style="box-shadow: 10px 10px 15px rgba(0, 0, 0, 0)">
  <pre> 
@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}
}
  </pre>
</div>