Datasets:
Update README.md
Browse files
README.md
CHANGED
@@ -64,7 +64,7 @@ configs:
|
|
64 |
|
65 |
### Dataset Summary
|
66 |
|
67 |
-
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
|
68 |
|
69 |
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).
|
70 |
|
@@ -72,7 +72,7 @@ Large Language Models (LLMs), such as GPT-like models, have transformed industri
|
|
72 |
|
73 |
### Updates
|
74 |
|
75 |
-
**
|
76 |
|
77 |
|
78 |
|
|
|
64 |
|
65 |
### Dataset Summary
|
66 |
|
67 |
+
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:
|
68 |
|
69 |
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).
|
70 |
|
|
|
72 |
|
73 |
### Updates
|
74 |
|
75 |
+
**2025-2-15: Content Update.** Paper submitted to ACL 2025.
|
76 |
|
77 |
|
78 |
|