272,634 long-form question-answer pairs extracted from the 'explainlikeimfive' subreddit. The dataset pairs complex queries with simplified, multi-sentence explanations designed for non-expert audiences.
Use Cases
- Train generative language models for long-form question answering using the 'title' and 'answers' columns
- Develop text simplification algorithms by mapping complex 'title' prompts to accessible 'answers' content
- Perform quality assessment of community-driven explanations using the 'score' metadata
Strengths
- 272,634 question-answer pairs across training, validation, and test splits
- Includes 'title' for the user query and 'answers' for the corresponding community-voted explanations
- Contains metadata such as 'score' and 'subreddit' for filtering responses by popularity