TriviaQA (5-Shot)

TriviaQA (5-Shot) is a Benchmark Dataset

TriviaQA (5-Shot) is a Benchmark Dataset

TriviaQA (5-Shot) is a benchmark dataset for evaluating the performance of large language models (LLMs) on a variety of factual question-answering tasks.

The dataset consists of over 200,000 questions and answers, which are divided into 5 subsets, each of which contains 40,000 questions.

The questions are designed to be challenging and require the LLM to have a deep understanding of the world in order to answer them correctly.

The 5-Shot setting in TriviaQA means that the LLM is given 5 examples of each question type before it is asked to answer the question. This is done to ensure that the LLM has a good understanding of the question type and the answer format before it is asked to answer the question.

The TriviaQA (5-Shot) benchmark is a popular way to compare the performance of different LLMs on factual question-answering tasks. It is a challenging benchmark, but it is also a good measure of the overall capabilities of an LLM.

Some of the specific tasks that the TriviaQA (5-Shot) benchmark evaluates include:

• Answering factual questions about the world: For example, "What is the capital of France?"

• Answering questions about common sense knowledge: For example, "What is the best way to get to the airport?"

• Answering questions about relationships between entities: For example, "What is the relationship between Barack Obama and Joe Biden?"

• Answering questions about events: For example, "When did the American Civil War start?"

The TriviaQA (5-Shot) benchmark is a valuable tool for researchers and developers who are interested in evaluating the performance of LLMs on factual question-answering tasks.