upb-nlp/MCQ_with_explanations_v2

该数据集是一个包含问题、答案和相关解释的问答数据集，旨在用于训练和验证模型。数据集包含字段：上下文(context)、问题(question)、答案(answer)、答案解释(answer_explanation)、干扰项(distractors)、干扰项类别(distractor_categories)、干扰项解释(distractor_explanations)、来源(source)和难度(difficulty)。数据集分为训练集和验证集两部分，训练集包含343,885个示例，验证集包含27,540个示例。

This dataset is a question-answering dataset containing questions, answers, and related explanations, designed for training and validation of models. The dataset includes fields: context, question, answer, answer_explanation, distractors, distractor_categories, distractor_explanations, source, and difficulty. The dataset is split into two parts: a training set with 343,885 examples and a validation set with 27,540 examples.