Definition
The WikiHow dataset consists of approximately 60,000 how-to articles collected from the WikiHow website. It is widely used in natural language processing research for tasks such as abstractive text summarization, where the goal is to generate concise summaries of step-by-step instructions. The dataset helps researchers develop models that can understand procedural text and extract key actions, facilitating applications in automated assistance and instructional content generation.
Summary
A large-scale dataset comprising how-to articles from WikiHow, used primarily for text summarization and instruction generation tasks.
Key Concepts
- Text summarization
- Procedural text
- Instruction extraction
Use Cases
- Abstractive summarization model training
- Step-by-step instruction generation
- Understanding procedural language structures