Trivia question answering is the task of answering fact-based questions that often require retrieval, memorized knowledge, or precise reasoning. It is commonly used to evaluate language models and information retrieval systems on factual accuracy.
Datasets to evaluate an LLM's ability to answer trivia questions. Each dataset contains question-answer pairs authored by trivia enthusiasts. Different datasets are grounded by different sources, including: - Web search (TriviaQA) - Wikipedia (TriviaQA_wiki) For more information see TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension.