Duplicate from kkChimmy/REALM

Co-authored-by: Jingw <kkChimmy@users.noreply.huggingface.co>

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README.md

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+---
+language:
+- en
+license: mit
+dataset_info:
+  features:
+  - name: source
+    dtype: string
+  - name: author
+    dtype: string
+  - name: title
+    dtype: string
+  - name: description
+    dtype: string
+  - name: url
+    dtype: string
+  - name: urlToImage
+    dtype: string
+  - name: publishedAt
+    dtype: string
+  - name: content
+    dtype: string
+  - name: category_nist
+    dtype: string
+  - name: category
+    dtype: string
+  - name: id
+    dtype: string
+  - name: subreddit
+    dtype: string
+  - name: score
+    dtype: int64
+  - name: num_comments
+    dtype: int64
+  - name: created_time
+    dtype: timestamp[ns]
+  - name: top_comments
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 649243675
+    num_examples: 93259
+  download_size: 364163308
+  dataset_size: 649243675
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+---
+# *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>

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