infinite-dataset-hub/TruthfulQA

TruthfulQA数据集旨在帮助机器学习从业者训练用于问答上下文中真实性检测的模型。该数据集包含了问题-答案对集合，每个问题-答案对都附带有一个标签，用来表示答案是否基于经过核实的真实信息来源被认为是真实的。这个数据集可以用于训练和评估能够预测各种领域中答案真实性的模型。

The TruthfulQA dataset is designed to assist Machine Learning practitioners in training models for truthfulness detection in question-answering contexts. The dataset contains a collection of question-answer pairs, each with an associated label indicating whether the answer is deemed truthful or not based on a curated source of verified facts. This dataset can be used to train and evaluate models that predict the truthfulness of answers in a variety of domains.