juliadollis/df_cemig_dedup_095

该数据集包含了一系列的问题和选项，每个问题都带有一个正确的答案（answerKey）。数据集中的字段包括问题的唯一标识符（id）、问题编号（question_number）、问题文本（question）、选项（choices，包含每个选项的标签和文本）、正确答案的上下文（right_context），以及用于评估和记录数据集处理过程的字段。数据集分为两部分：eval_true和eval_false，分别包含不同数量的示例。eval_true部分有797个示例，大小为4155773字节；eval_false部分有398个示例，大小为1754178字节。

The dataset contains a series of questions and options, each with a correct answer (answerKey). The fields in the dataset include a unique identifier for the question (id), question number (question_number), question text (question), options (choices, including label and text for each option), context of the correct answer (right_context), and fields for evaluation and recording the dataset processing. The dataset is divided into two parts: eval_true and eval_false, each containing a different number of examples. The eval_true part has 797 examples and is 4155773 bytes in size; the eval_false part has 398 examples and is 1754178 bytes in size.